--- title: Second Nature AI Reviews meta_title: 'Second Nature AI Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 363 reviews by the users' company size, role or industry to find out how Second Nature AI works for a business like yours. aggregate_rating: rating_value: 4.6 review_count: 363 scale: '5' date_modified: '2026-07-19' parent_category: name: Sales Acceleration url: https://www.g2.com/categories/sales-acceleration --- # Second Nature AI Reviews **Vendor:** Second Nature **Category:** [Sales Training and Onboarding Software](https://www.g2.com/categories/sales-training-and-onboarding) **Average Rating:** 4.6/5.0 **Total Reviews:** 363 ## About Second Nature AI Second Nature is a cutting-edge AI role play training solution designed to enhance onboarding, development, and coaching for teams at scale. This innovative platform allows users to create realistic role play training simulations, enabling teams to practice various conversations with human-like AI avatars. By fostering a practice-based learning environment, Second Nature helps employees build confidence, refine their skills, and ultimately drive better results in their roles. Targeted primarily at organizations looking to streamline their training processes, Second Nature is particularly beneficial for companies that prioritize employee development and effective onboarding. The platform caters to a wide range of industries, making it suitable for sales teams, customer service representatives, and any personnel that require strong communication skills. With its ability to simulate real-world scenarios, Second Nature provides a unique opportunity for teams to engage in hands-on practice that traditional training methods often lack. One of the standout features of Second Nature is its ease of use. Users can create role play simulations in just minutes by typing a few prompts or uploading existing training materials. This flexibility allows organizations to quickly adapt their training programs to meet evolving needs. Additionally, Second Nature seamlessly integrates with various Learning Management Systems (LMS) via SCORM or LTI, including popular platforms like Workday, Adobe Learning Manager, and Cornerstone. This ensures that companies can incorporate Second Nature into their existing training frameworks without disruption. The platform's analytics capabilities further enhance its value proposition. Second Nature provides comprehensive insights into employee performance, usage details, and session overviews, allowing organizations to identify what is working well and where improvements can be made. By leveraging these analytics, companies can make informed decisions about their training strategies, ultimately leading to improved proficiency and reduced onboarding time by up to 30%. Powered by generative AI and machine learning, Second Nature delivers immersive role-play simulations that engage users in natural-language conversations. The AI-driven personas are designed to ask questions, pose objections, and adjust their tone, creating a dynamic learning experience. After each session, the AI evaluates participants on knowledge accuracy, conversational style, and essential soft skills such as clarity and confidence. This rigorous assessment ensures that employees are not only learning but are also prepared to apply their skills effectively in real-world situations. With its proven performance, Second Nature has become a trusted solution for leading companies like Adobe, Oracle, and T-Mobile, solidifying its position as a leader in AI role play training. ## Second Nature AI Pros & Cons **What users like:** - Users value the **sales skill enhancement** provided by Second Nature AI, boosting confidence and engagement in training. (104 reviews) - Users appreciate the **ease of use** of Second Nature AI, facilitating effective training and user-friendly experiences. (98 reviews) - Users value the **AI integration** of Second Nature AI, enhancing training and performance tracking for sales reps. (74 reviews) - Users appreciate the **flexible training options** of Second Nature AI, enhancing skill development and performance for sales reps. (60 reviews) - Users value the **interactive AI experience** with Jenny, enhancing learning and confidence during training sessions. (57 reviews) - Users rave about the **interactive coaching features** of Second Nature AI, greatly enhancing their sales training experience. (49 reviews) - Performance Improvement (41 reviews) - Helpful (28 reviews) - Customer Support (25 reviews) - Intuitive (23 reviews) **What users dislike:** - Users experience frustrating moments due to **inaccurate information** , leading to mismatched answers and misunderstandings during conversations. (21 reviews) - Users find the **learning curve steep** for newcomers, requiring time to adapt to Second Nature AI's features. (15 reviews) - Users find that **AI inaccuracies** lead to frustration due to mismatched answers and inconsistent responses during conversations. (14 reviews) - Users find the **lack of interactivity** frustrating, as it disrupts the flow and limits engagement during sessions. (12 reviews) - Users find **language issues** hinder accessibility and effectiveness, especially for non-English speakers using Second Nature AI. (11 reviews) - Users find the **time-consuming learning** curve of Second Nature AI challenging, especially for beginners unfamiliar with the application. (9 reviews) - Users struggle with **voice recognition issues** in Second Nature AI, making interactions frustrating and derailing conversations frequently. (8 reviews) - Users report that **serious bugs** hinder usability, causing slow responses and frustrating glitches within the app. (6 reviews) - Missing Features (6 reviews) - Users experience **slow performance** , facing lags and delays that hinder effective communication and usability. (6 reviews) ## Second Nature AI Reviews ### 1. Retires a patchwork of regional sales training **Rating:** 5.0/5.0 stars **Reviewed by:** Irene K. | Operations Coordinator, Construction, Enterprise (> 1000 emp.) **Reviewed Date:** July 17, 2026 **What do you like best about Second Nature AI?** When the pitch changes for a product line, the owning team can update its own library directly. Because each line has its own library, a change to one product doesn’t disrupt another. Our reps can start drilling the new messaging the same week the product ships. For leadership, it provides a defensible view that ramp is consistent and uniform across the organization. We’ve also standardized objection-handling coaching across the entire global team. **What do you dislike about Second Nature AI?** I noticed some voice latency at first. It has improved since then, but I’d still flag it as something to watch closely during a phased rollout. **What problems is Second Nature AI solving and how is that benefiting you?** Onboarding used to keep pulling senior reps away from selling so they could mentor new hires, and centralizing practice gave that capacity back. Readiness had been a judgment call that varied by region, but the scoring now provides a single benchmark across all of them. Reps previously faced tough negotiations for the first time on live deals; now they can rehearse those moments beforehand. Training quality also differed by trainer and office, and having one governed set of scenarios has helped level it out. ### 2. Scales sales onboarding without adding headcount **Rating:** 5.0/5.0 stars **Reviewed by:** Anita M. | Sales Enablement Director, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** July 17, 2026 **What do you like best about Second Nature AI?** What sold me is that the same program ramps any sales team, from SDRs to strategic AEs. The data tells me who is ready to carry quota and who needs another cycle. The breakdown shows me which reps actually know the product and which are bluffing. Consolidating tools cut the time I spend assembling reports each cycle. **What do you dislike about Second Nature AI?** The pricing took some back and forth to understand, it lands fine once you do. **What problems is Second Nature AI solving and how is that benefiting you?** Onboarding absorbed all my training capacity and left nothing for coaching, and that capacity is back now that new hires self-pace through the basics. Coaching was generic for everyone regardless of their gaps, while now I tailor it to what the analysis surfaces per rep. Training time was inefficient, with reps sitting through material that missed their gaps, and now they drill the specific weak spot. Each cohort got a different experience depending on the trainer, and the shared scenarios standardized that. ### 3. Keeps every market on the approved pitch **Rating:** 5.0/5.0 stars **Reviewed by:** Amani N. | Enterprise Sales Director, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** July 17, 2026 **What do you like best about Second Nature AI?** Having Salesforce sit alongside the practice data gives my managers one place to look. Reporting rolls up across every region into one framework I can show the board. Permissions are detailed enough to clear a security review without exceptions. The central console gives me one view into every library. The analysis grades what a rep said about the product, not how polished they sounded. A new market comes online in days because the playbook is already centralized. Compliance is comfortable because every scenario ties back to approved messaging. Reps rehearse a tough negotiation in a safe place before any live deal. **What do you dislike about Second Nature AI?** A few non-English scenarios trailed English, so we run a review pass before rollout. **What problems is Second Nature AI solving and how is that benefiting you?** Spinning up training for a new region meant duplicate sessions and trainers, and now the same library reaches everyone from one place. Onboarding tied up senior reps we needed selling, and centralizing practice freed them. Ramp did not scale with our headcount and drained the senior team, until one content set across regions stopped the duplication. We had no consistent way to prove ramp landed across markets, and the scoring now gives us one data-backed read everywhere. We relied on managers to gauge readiness by feel, and the scoring now gives an objective benchmark. Coaching was generic across thousands of reps, while the analysis now points each one at their specific weak spot. Role plays varied office to office and rarely matched real deals, whereas the central libraries now mirror the conversations reps run. ### 4. Turns a blank page into a working scenario fast **Rating:** 5.0/5.0 stars **Reviewed by:** Carrie D. | Sales Enablement Director, Mid-Market (51-1000 emp.) **Reviewed Date:** July 16, 2026 **What do you like best about Second Nature AI?** My roadmap asks usually land, and I’ve flagged features that ended up shipping within a quarter. It’s helped us scale the program without me adding a single headcount. By spotting patterns in the cohort data, I can catch a weak spot before it costs us a deal. Fast learners can move ahead, while slower reps get the repetition they need, without stalling the whole cohort. **What do you dislike about Second Nature AI?** Speech recognition can be unreliable in noisy environments, and the team is aware of this. **What problems is Second Nature AI solving and how is that benefiting you?** Every trainer taught a slightly different version of the same call, and that inconsistency persisted until we introduced a single set of scenarios to standardize it. Before, I had little to show for training beyond attendance; now the scoring reflects real movement in skill. I also didn’t have any objective way to validate that the program was working, but the data now gives me a clear readiness read that doesn’t depend on a manager’s gut feel. Finally, coverage gaps were leaving our overseas sales teams behind, and the language support now helps ramp them at the same level as the English teams. ### 5. Makes the switch worth it on practice plus analytics **Rating:** 4.5/5.0 stars **Reviewed by:** Sara D. | Founder & CCO, Retail, Enterprise (> 1000 emp.) **Reviewed Date:** July 15, 2026 **What do you like best about Second Nature AI?** Reps can run drills from their phones between meetings, which fits a field sales team well. It highlights what a rep actually claimed about pricing, not just how smooth they sounded. Our customer success team responds quickly and clearly understands our sales process. When we roll out a new pitch, we can get a new scenario the same day instead of waiting until next quarter. Self-onboarding was straightforward, and I had scenarios live within hours of getting access. I can also adapt a discovery template for a new segment without having to start from scratch. Post-call scoring stays consistent, whether I review it myself or another manager on the team does. **What do you dislike about Second Nature AI?** Integrations with the rest of our stack are thinner than I’d like, although the team has delivered a few of the ones we requested. **What problems is Second Nature AI solving and how is that benefiting you?** From region to region, coaching was inconsistent, and the shared scenarios set the same bar for every rep regardless of their needs. Our ramp targets were basically guesswork, but now I can show a clean before-and-after improvement in time to productivity. The old role plays didn’t sound anything like a real buyer, so reps tuned them out; the scenarios now actually mirror the deals they’re running. Training time also used to be inefficient, with reps sitting through sessions that didn’t address their gaps, whereas now they can drill the specific areas they’re weak on. Ramp was slow because new reps learned through trial and error, but now they build the right patterns before their first real call. Reps also used to freeze on tough objections, and the private repetition has helped build their confidence before they get on live calls. ### 6. Makes enterprise sales onboarding run smoothly **Rating:** 5.0/5.0 stars **Reviewed by:** Furaha K. | Enterprise Sales Director, Computer Software, Enterprise (> 1000 emp.) **Reviewed Date:** July 14, 2026 **What do you like best about Second Nature AI?** Onboarding at our scale used to be a nightmare, and this rollout was smoother than any I have run. Spinning up a region took days because content and permissions were already centralized. We push one approved sales playbook to thousands of reps without a per-office rollout. Reporting by region and cohort shows me which teams are ready to sell. We can segment by product line and still report against one consistent standard. Our success contact understands a sales org at our scale, not just the features. New reps reach quota-ready faster than the old instructor-led path allowed. The substance-level analysis is what a complex enterprise sale actually requires. **What do you dislike about Second Nature AI?** Deeper native reporting across regions would help, for now we combine exports. **What problems is Second Nature AI solving and how is that benefiting you?** Personalized coaching was impossible across thousands of reps, and the analysis targets each one's gap now. Onboarding absorbed capacity we needed for ongoing development, and self-paced practice freed it back up. Practice content fell behind product changes, and the owning team updates its own line the same day now. New messaging reached the field weeks late, and the coaching layer now lands with the launch. Ramp never traveled well across regions, with each one rebuilding its own playbook, until a single governed content set put everyone on the same page. We could not show leadership why a rep was coached a certain way, and the records now tie every point back to approved messaging. Every region ran its own training and quality drifted apart, until one standard scenario set pulled them back together. ### 7. Governs sales content and permissions centrally **Rating:** 5.0/5.0 stars **Reviewed by:** Pedro A. | Marketing Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** July 14, 2026 **What do you like best about Second Nature AI?** Smooth onboarding at this scale is rare, and this is the first tool that has truly delivered it for us. By standardizing scenarios across markets, we finally put an end to the regional variation we used to fight. The platform replaced a patchwork of regional sales training with a single, governed system. And when a line needs to change its pitch, the owning team can update its own library directly. **What do you dislike about Second Nature AI?** Cohort views by region and product line still require an export, rather than being available in a single native screen. **What problems is Second Nature AI solving and how is that benefiting you?** Role plays used to vary from office to office and rarely matched real deals, but the central libraries now mirror the conversations reps actually run. Messaging also drifted between regions; with a central library, every market stays on the approved pitch. Ramp never traveled well across regions either, since each team kept rebuilding its own playbook, until a single, governed content set finally put everyone on the same page. Our most complex negotiations needed practice that the old training never covered, and now reps can drill those conversations before going live. ### 8. Creates a baseline that does not shift with staffing **Rating:** 5.0/5.0 stars **Reviewed by:** Kylo N. | Sales Enablement Director, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** July 15, 2026 **What do you like best about Second Nature AI?** We trimmed close to thirty percent off ramp once every rep trained on the same scenarios. Reps stop treating practice as busywork once it sounds like their real deals. The customer success team grasps what I am solving, not just how the tool works. Standard scenarios across trainers ended the trainer-to-trainer variation. **What do you dislike about Second Nature AI?** Cohort reporting across hire waves and roles still comes through an export rather than one native view. **What problems is Second Nature AI solving and how is that benefiting you?** Speed to competency was too slow, with new reps taking weeks, and they get there in days now. I had no read on which reps knew the product, and the breakdown now shows me who is solid and who is guessing. The program did not scale and it stretched the enablement team thin, until one content set across regions stopped the duplicate sessions. I could not see who was struggling until late, and the cohort data now flags it early. ### 9. Makes low-performer improvement visible within a month **Rating:** 4.5/5.0 stars **Reviewed by:** Michael S. | Head of GTM, Mid-Market (51-1000 emp.) **Reviewed Date:** July 09, 2026 **What do you like best about Second Nature AI?** Having practice and call analytics in one place is what ultimately justified the switch for me. Onboarding a larger cohort no longer means I have to double my mock-call sessions. New AEs now reach a contributing level in weeks rather than a couple of months, and I’ve already seen the impact on the team: two of my weakest reps moved up into the middle of the pack within a month. **What do you dislike about Second Nature AI?** The avatar’s motion still looks a bit stiff, although it sounds like an upgrade is coming soon. **What problems is Second Nature AI solving and how is that benefiting you?** Reps used to learn product claims on live calls, and in practice we often didn’t catch the incorrect ones until later. Now the breakdown flags the wrong claims as they happen. Feedback also used to vary depending on which manager observed the call, but now every rep is measured against the same scenarios. Lower performers tended to fall behind because they got less live practice. The higher volume of safe repetition has helped close that gap. Coaching used to be one-size-fits-all; now I can tailor it to each rep based on the specific gaps the analysis highlights. ### 10. Lets owning teams update their own line **Rating:** 5.0/5.0 stars **Reviewed by:** Jonathan V. | Head of Contracts & Wholesale, Enterprise (> 1000 emp.) **Reviewed Date:** July 08, 2026 **What do you like best about Second Nature AI?** The per-product-line scenario libraries let each sales team own its own playbook without stepping on anyone else’s work. Granular permissions also make it easy for each region to see only what it should. I’ve found the roadmap responsive to enterprise asks, with real timelines instead of vague promises. As a result, new reps become quota-ready faster than they did with the old instructor-led approach. **What do you dislike about Second Nature AI?** Cohort reporting by hire wave, region, and role still requires an export, rather than being available in a single native view. **What problems is Second Nature AI solving and how is that benefiting you?** Spinning up training for a new region used to mean duplicating sessions and pulling in extra trainers. Now the same library reaches everyone from a single place. Our ramp process didn’t scale with headcount and it drained the senior team, but having one shared content set across regions finally stopped the duplication. Reps previously learned the pitch on live deals, and those misses cost us pipeline. Now they can rehearse in a safe space first. Onboarding also kept pulling senior reps away from selling so they could mentor new hires, and centralizing practice has given that capacity back. ### 11. Segments by product line under one report **Rating:** 4.5/5.0 stars **Reviewed by:** David C. | Institutional Sales Professional, Mid-Market (51-1000 emp.) **Reviewed Date:** July 07, 2026 **What do you like best about Second Nature AI?** I can show the board that Ramp is consistent across regions, using the same scenarios everywhere. Reporting also rolls up from every region into a single framework that’s easy for me to present to the board. When a new market comes online, it can be up and running in days because the playbook is already centralized. It also handled our headcount without the performance problems I expected at this scale. **What do you dislike about Second Nature AI?** Not every language in the catalog feels equally polished. The English version holds up well, but a few of the other languages could use another review pass. **What problems is Second Nature AI solving and how is that benefiting you?** We used to struggle to show leadership exactly why a rep was coached a certain way. Now the records clearly tie every coaching point back to approved messaging. Our most complex negotiations required practice that the old training never covered, and reps can now drill those conversations before going live. Personalized coaching simply wasn’t possible across thousands of reps, but the analysis now pinpoints each person’s gaps. And because every region ran its own training, quality had drifted over time; a single, standard set of scenarios has brought everyone back into alignment. ### 12. Tightens discovery quality across the team **Rating:** 4.5/5.0 stars **Reviewed by:** John K. | Founder / President, Small-Business (50 or fewer emp.) **Reviewed Date:** July 06, 2026 **What do you like best about Second Nature AI?** The breakdown shows me the exact moment a rep caved on terms. Self-onboarding was quick, and I had scenarios live within hours of getting access. It works beyond the core sales team, too, and we even run new-hire onboarding through it. It gave me defensible numbers showing ramp got faster. It surfaces what a rep actually claimed about pricing, not just how smooth they sounded. The mobile experience means practice isn’t chained to a desk. I can tailor coaching to each rep based on what the analysis flags. The analysis also makes it clear whether a rep handled the objection or simply talked around it. **What do you dislike about Second Nature AI?** I noticed some voice latency early on. It has improved since then, but it’s still worth mentioning. **What problems is Second Nature AI solving and how is that benefiting you?** Mock calls used to eat up hours of my managers’ time every week, and we’ve gotten that time back now that reps can practice on their own. Ramp was slow when new reps had to learn through trial and error; now they can build the right patterns before their first real call. Reps also used to find their footing on live opportunities, which cost us deals, but they can work the rough parts out in practice first. They used to freeze on tough objections, and the private repetition has built their confidence before live calls. They also used to wing pricing conversations, and the breakdown now shows me exactly where they gave ground. Onboarding quality would dip whenever I got busy, but the structured path keeps the standard consistent regardless. Onboarding also used to cap how many AEs I could ramp in a wave; now I can bring on a larger cohort without doubling the number of sessions. ### 13. Unifies ramp across markets built in isolation **Rating:** 4.5/5.0 stars **Reviewed by:** Carlton H. | Manager , Enterprise (> 1000 emp.) **Reviewed Date:** July 05, 2026 **What do you like best about Second Nature AI?** The roadmap does shift, but when I flag an enterprise gap, I get a clear, realistic answer on timing. Spinning up a new region took only a few days because content and permissions were already centralized. When we launch something once, its coaching layer rolls out to every region at the same time, which helped us standardize objection-handling coaching across the entire global team. It also mattered that our security team cleared it early—it reassured me that the controls were genuinely in place. Granular permissions mean each region sees only what it should. At the same time, each product line can run its own scenario library while we still govern everything centrally. Having Salesforce data right next to practice results gives managers a single place to look. **What do you dislike about Second Nature AI?** We were looking for tighter, native Salesforce hooks, and they’ve been arriving in stages. **What problems is Second Nature AI solving and how is that benefiting you?** Ramp didn’t scale with our headcount and it was draining the senior team, until we moved to a single content set across regions and stopped all the duplication. Our practice content used to lag behind product changes; now the owning team updates its own line the same day. We also relied on managers to gauge readiness by feel, but the scoring gives us an objective benchmark. We didn’t have defensible proof that our enablement spend was working, and standardized scoring now gives leadership a clear answer. Reps used to learn the pitch on live deals, and those misses cost us pipeline. Now they can rehearse in a safe space first. Hiring at scale outpaced our trainer hours, and self-serve practice removed that ceiling. Coaching was generic across thousands of reps, whereas the analysis now points each rep to their specific weak spot. ### 14. Turns scattered feedback into comparable data **Rating:** 4.5/5.0 stars **Reviewed by:** Betty F. | Sales & Marketing, Mid-Market (51-1000 emp.) **Reviewed Date:** July 04, 2026 **What do you like best about Second Nature AI?** I can build a scenario library that keeps growing without turning into an ongoing content project. I clone existing scenarios and tweak them by region, so the content stays fresh without a huge build each time. I also don’t have to rebuild the whole library from scratch whenever the pitch shifts. After getting access, I had scenarios live within hours, with no long setup. The breakdown makes it clear which reps actually know the product and which ones are bluffing. By consolidating tools, I’ve cut down the time I spend assembling reports every cycle. It works for assessing any sales team, so I run both SDR and AE ramp through it. As a result, every new hire ramps to the same bar, no matter who trains them. **What do you dislike about Second Nature AI?** It took a bit of back-and-forth for me to understand the pricing, but once I did, it seemed fine. **What problems is Second Nature AI solving and how is that benefiting you?** Role plays used to feel inconsistent and unrealistic, so reps would tune them out. Now the scenarios mirror real deals, and they actually engage with them. New messaging previously took weeks to make its way into the ramp program; now I can fold it into the scenarios that same week. I also couldn’t prove the program’s value to leadership, but the scoring gives me evidence I can use to defend the budget. New hires were progressing at uneven rates, and the self-paced path keeps the cohort moving together without holding anyone back. Coaching used to be generic for everyone, regardless of individual gaps; now I can tailor it based on what the analysis surfaces for each rep. Finally, validating readiness used to mean sitting in and judging by feel, whereas the data now gives me a clear, defensible read. ### 15. Pushes one approved playbook to thousands of reps **Rating:** 4.5/5.0 stars **Reviewed by:** Stefano M. | IT Project manager presso, Enterprise (> 1000 emp.) **Reviewed Date:** July 03, 2026 **What do you like best about Second Nature AI?** Reps in 30+ languages now ramp on the same standard, which we could never truly enforce before. Regional and cohort reporting makes it clear which teams are ready to sell, and rolling pitch updates out to thousands of reps is no longer a manual project. Using standard scenarios across markets has eliminated the regional variation we used to fight, and the per-line libraries mean a change to one product doesn’t disrupt another. Having Salesforce data right next to practice results gives managers a single place to look. Reps can start drilling new messaging the same week a product ships. And our success contact understands what it takes to support a sales org at our scale, not just the feature set. **What do you dislike about Second Nature AI?** The moving avatars aren’t quite perfect yet, although I’ve heard that an improved version is on the way. **What problems is Second Nature AI solving and how is that benefiting you?** Proving what was trained used to mean reconstructing everything after the fact; now the records link directly to approved playbooks. Reps previously faced tough negotiations for the first time on live deals, but now they can rehearse those moments beforehand. Personalized coaching across thousands of reps felt impossible, and the analysis now pinpoints each person’s specific gaps. New messaging used to reach the field weeks late; now the coaching layer lands alongside the launch. New reps also took too long to reach quota at our volume, and standardized practice is getting them productive sooner. We couldn’t clearly show leadership why a rep was coached a certain way, but the records now tie every coaching point back to approved messaging. And where we had no consistent way to prove ramp landed across markets, the scoring now gives us a single, data-backed read everywhere. ### 16. Scales the ramp program without new headcount **Rating:** 5.0/5.0 stars **Reviewed by:** Leah M. | Director of Sales & Marketing, Small-Business (50 or fewer emp.) **Reviewed Date:** July 03, 2026 **What do you like best about Second Nature AI?** I keep the scenario library up to date as our pitch evolves, almost as part of my weekly routine. The objective readiness read has replaced a manager’s gut feel. Building a new scenario now takes an afternoon, rather than starting from a blank page and losing half a day. The cohort data also points me toward patterns I can turn into practical sales coaching. **What do you dislike about Second Nature AI?** The moving avatars aren’t quite perfect yet, but I understand that an improved version is on the way. **What problems is Second Nature AI solving and how is that benefiting you?** The program didn’t scale, and it stretched the enablement team thin. That changed once we moved to a single content set across regions, which finally put an end to duplicate sessions. Training quality used to depend on which trainer happened to be running the room, but a standard set of scenarios now keeps every cohort held to the same bar. I also used to have no clear read on which reps actually knew the product; the breakdown now shows me who’s solid and who’s guessing. And instead of building each session from scratch—which never scaled—a reusable library now carries most of that load. ### 17. Handles pitch updates without rebuilding everything **Rating:** 5.0/5.0 stars **Reviewed by:** Jackie B. | Director of Marketing & Communications , Small-Business (50 or fewer emp.) **Reviewed Date:** July 03, 2026 **What do you like best about Second Nature AI?** The analysis shows me which reps are guessing on product claims and which ones actually know what they’re talking about. More than once, features I’ve requested have shipped within a quarter. The customer success team understands what I’m trying to solve, not just how the tool works. And the data makes it clear who’s ready to carry quota and who needs another cycle. **What do you dislike about Second Nature AI?** There are occasional, slight lags while the AI processes, but they’re brief enough that they don’t disrupt the session. **What problems is Second Nature AI solving and how is that benefiting you?** Reps used to show up to coaching cold; now they arrive already warmed up, so the session can focus on the hard parts. Previously, every trainer taught a slightly different version of the same call, but a single set of scenarios has eliminated that variation. I also couldn’t tell who was struggling until it was too late, and the cohort data now flags issues early. Finally, reps were practicing against scenarios that didn’t match our pitch, and the library now keeps pace with our messaging. ### 18. Gives new reps practice without real-deal risk **Rating:** 4.5/5.0 stars **Reviewed by:** Robert K. | Digital content manager, Mid-Market (51-1000 emp.) **Reviewed Date:** July 02, 2026 **What do you like best about Second Nature AI?** What I rely on most is the manager time it gives back to me each week. It’s scaled across my entire team without needing to add a trainer. The 30+ language support helps keep our regional reps aligned on one standard. The customer success team responds quickly and understands our sales process. Our reps can drill from their phones between meetings while they’re out on the road. **What do you dislike about Second Nature AI?** We were looking for deeper native Salesforce integration, and it has improved gradually over time. **What problems is Second Nature AI solving and how is that benefiting you?** Reps used to dodge the hardest objections on real calls, and the safe practice environment lets them tackle those first. I used to judge readiness mostly by feel, but now the data shows me who can actually handle a tough negotiation. Onboarding a cohort used to take up my entire month; it no longer monopolizes my calendar. Weak reps also used to slip by for a full quarter before anyone noticed, and now I can spot the gap in the data within the first few weeks. ### 19. Makes new-language scenarios reach English quality **Rating:** 4.5/5.0 stars **Reviewed by:** Ronda F. | Project Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** June 27, 2026 **What do you like best about Second Nature AI?** The post-session breakdown shows what reps actually said about the product, which is the part I can coach and improve. The roadmap genuinely reflects customer input, and that kept me bought in. Reps come into coaching prepared, so I can spend the hour on the hard stuff instead of catching them up. Overall, it gave me the evidence I needed to defend the program’s budget. **What do you dislike about Second Nature AI?** Not every language feels equally polished. The English scenarios are solid, but the French and German versions could use an editing pass. **What problems is Second Nature AI solving and how is that benefiting you?** Coverage gaps used to leave our overseas sales teams behind, but the language support now ramps them up to the same level as the English teams. New hires previously took weeks before they could really contribute; now they reach a usable level in just days. Onboarding had been absorbing all of my training capacity and leaving nothing for coaching, but that time is back now that new hires can self-pace through the basics. We also didn’t have proof that the program was moving the number, and the data now makes that case clearly to leadership. ### 20. Scales ramp without scaling trainer hours **Rating:** 5.0/5.0 stars **Reviewed by:** June V. | Sales Specialist, Mid-Market (51-1000 emp.) **Reviewed Date:** June 25, 2026 **What do you like best about Second Nature AI?** The language coverage helps us standardize ramp-up across our regional crews. Enterprise onboarding went more smoothly than any sales-tool rollout I’ve managed. We can push one approved sales playbook to dozens of reps at once—no more per-unit rollouts and all that. **What do you dislike about Second Nature AI?** Speech recognition accuracy drops slightly in noisier environments, but that’s mostly on us. We’ll be moving to a more spacious floor next year, which should help. **What problems is Second Nature AI solving and how is that benefiting you?** Rolling out a launch to every market used to take months of coordination. Now the coaching layer practically ships with the product, reaching all sales crews at once. Coaching also used to be generic across teams; now the analysis is tailored to each user and targets their specific weak spot(s). Before we started with Second Nature, we had no consistent way to prove that ramp actually landed across markets, but the scoring now gives us one data-backed read everywhere. Role plays used to vary from office to office and rarely matched real deals, whereas the central libraries now mirror the conversations we actually run. We love this. ### 21. Realistic Drills That Get New Reps Call-Ready Fast **Rating:** 5.0/5.0 stars **Reviewed by:** Karen G. | Enterprise Sales Manager, Wholesale, Mid-Market (51-1000 emp.) **Reviewed Date:** June 24, 2026 **What do you like best about Second Nature AI?** The drills feel very realistic—almost identical to the calls my guys handle in real life. New reps go into deals having rehearsed nearly every aspect and nuance, so they’re essentially ready before they ever jump on calls with their newly assigned accounts. **What do you dislike about Second Nature AI?** Nothing in particular stood out to me, but overall what I saw made sense and felt straightforward. **What problems is Second Nature AI solving and how is that benefiting you?** Our training content was always lagging behind the most recent pitch, messaging variations, and feature updates. That created an ongoing pathology where some AEs were constantly behind others in terms of what they knew. In turn, it caused a lot of other hardships around overall consistency and, to some degree, even cannibalized some of the AEs’ perceived authority. With Second Nature, we can update new scenarios the very same day. No more gaps, and no AEs left uninformed. Before we started with Second Nature, new AE onboarding quality also dipped whenever I got a bit busy (which happens often). New reps used to “train” on real prospects, live, which burned potential deals, made me cringe, and made us look bad as a company. Now they rehearse in a “sandbox” first, and the difference is enormous. ### 22. My managers get more stuff done without me **Rating:** 5.0/5.0 stars **Reviewed by:** Melanie H. | Senior Sales Enablement Director, Mid-Market (51-1000 emp.) **Reviewed Date:** June 20, 2026 **What do you like best about Second Nature AI?** Objective reads on readiness levels, instead of relying on any manager’s gut, have made a real difference for us. One of the biggest changes we noticed right away was the consistency, especially that it’s applied the same way across sessions. We keep the scenarios current with the most recent messaging packages, and updating them has become a weekly routine. Onboarding has stopped looking like a complete disaster. Reps engage because the drills in the platform mirror the deals they handle day to day, so they actually want to do it. We also tailor coaching based on what the platform surfaces for each rep. As our pitch changes, the library grows with it, without turning into its own separate, ongoing project. **What do you dislike about Second Nature AI?** I’d like richer out-of-the-box manager views, and perhaps a few more minor additions. Overall, I’m very happy, because it feels like everything here has been thought through deeply and seriously. **What problems is Second Nature AI solving and how is that benefiting you?** The localized ramp used to trail the English version, but the broader language coverage helped close that gap nicely. Our team needed training for complex conversations with high-status prospects, and now they can rehearse in a dedicated space before going live instead of risking deals (our CAC is high as it is). Previously, each cohort could end up with a completely different experience depending on the trainer, but the shared scenarios have standardized things. Onboarding also felt one-size-fits-all: fast learners stalled while slower ones got rushed, until self-paced training let everyone move at the pace that’s relevant for them. Before that, onboarding would bottleneck at around five days. ### 23. Keeps a cohort even **Rating:** 5.0/5.0 stars **Reviewed by:** Benjamin W. | Sales Enablement Director, Mid-Market (51-1000 emp.) **Reviewed Date:** June 22, 2026 **What do you like best about Second Nature AI?** Reps take the drills seriously because they mirror real deals. Self-onboarding is quick. The templates let a sales manager outside enablement adapt a scenario without needing my help. **What do you dislike about Second Nature AI?** A few of the non-English scenarios lagged behind the English ones, so I’m planning a review pass before the rollout. **What problems is Second Nature AI solving and how is that benefiting you?** Speed to competency used to be very slow: new reps took 2–3 months to ramp, and now they’re getting there in 1–3 weeks. Scaling the program previously meant hiring more trainers, but reusable scenarios have allowed it to grow without needing to add headcount. Before, all I really had to show for training was attendance; now the scoring reflects real skill movement. I also didn’t have any objective validation that the program was working, and the data now gives me a clear readiness read that doesn’t depend on a manager’s gut. ### 24. Genuinely helps new reps ramp faster if you deploy it right **Rating:** 5.0/5.0 stars **Reviewed by:** Angela B. | Member, Enterprise (> 1000 emp.) **Reviewed Date:** May 12, 2026 **What do you like best about Second Nature AI?** Ramp time for new AEs dropped once we put the work into building real scenarios. Cloning templates for a new product launch or objection set takes minutes, not days. The piece I rely on most is the post-session analysis. It scores what the rep actually said, not just the delivery, which is what we needed from a training tool. **What do you dislike about Second Nature AI?** Voice latency used to be a sticking point in early pilots with our team. Gotten much better over time though. Speech recognition can rarely get tripped up if a rep is practicing somewhere noisy, like the open floor or from home with kids around. Worth flagging before rollout, but neither is a big deal. **What problems is Second Nature AI solving and how is that benefiting you?** Well up until we started with SN, ramp leaned on shadowing and peer roleplay. Quality varied a lot depending on which senior AE was free that week, and our top closers were getting pulled into training instead of working pipeline. New hires were also rehearsing on live prospects, so first impressions weren't always great. Now they drill discovery and objection handling in a safe environment first. The methodology sticks better, and they show up to live calls with more under their belt. ### 25. Makes the analysis the start of every one-on-one **Rating:** 5.0/5.0 stars **Reviewed by:** Ernest S. | Director, Non-Profit Organization Management, Mid-Market (51-1000 emp.) **Reviewed Date:** July 18, 2026 **What do you like best about Second Nature AI?** Being able to assess any sales team broadened where I can use it. I can stand up an entire ramp program from templates much faster than when I used to build even a single scenario. **What do you dislike about Second Nature AI?** The localized scenarios aren’t all at the same level as the English version, so I plan and budget for an editing pass when adding new languages. **What problems is Second Nature AI solving and how is that benefiting you?** Our reps used to be effectively learning on live calls, and those misses cost us. Now they work through the scenario first before they ever touch a real account. Before, I couldn’t clearly prove the program’s value to leadership; with the scoring in place, I finally have the evidence I need to defend the budget. ### 26. Keeps regional ramp consistent and comparable **Rating:** 4.5/5.0 stars **Reviewed by:** Gloria T. | Head of Marketing, Mid-Market (51-1000 emp.) **Reviewed Date:** July 12, 2026 **What do you like best about Second Nature AI?** New launches now land with attached practice scenarios, which has changed how quickly our sellers get up to speed. With central content management in place, each region stays aligned and can’t drift away from the approved pitch. **What do you dislike about Second Nature AI?** In a few non-English scenarios, the translations lagged behind the English version, so we ran an additional review pass before rollout. **What problems is Second Nature AI solving and how is that benefiting you?** Quality varied by trainer across offices, and one standardized, governed scenario set helped level it out. The new-product ramp initially lagged behind how quickly we launch, but now reps are up to speed on the pitch within the first week. Onboarding also absorbed capacity we needed for ongoing development, and shifting to more self-paced practice freed that time back up. ### 27. Governs every regional library from one console **Rating:** 5.0/5.0 stars **Reviewed by:** Flora B. | Project Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** July 12, 2026 **What do you like best about Second Nature AI?** The post-call analysis focuses on what reps actually said about the product, which is the kind of feedback that truly moves the numbers. Compliance feels straightforward, because every scenario ties back to approved messaging. Coverage in 30+ languages lets us keep one consistent ramp standard across markets. Pitch coaching also reaches every region at once, rather than trickling out office by office. **What do you dislike about Second Nature AI?** I’d like to have cross-region reporting available in a single native screen. For now, we have to pull it via export. **What problems is Second Nature AI solving and how is that benefiting you?** New reps were taking too long to reach quota at our volume, and a more standardized practice approach gets them productive sooner. The practice content had fallen behind product changes, but now the owning team updates its own line the same day. Our new-product ramp also lagged the pace of our launches; now reps are up to date on the pitch within their first week. Reps were practicing scenarios that didn’t reflect live deals, and the libraries now align with the real conversations we’re having. ### 28. Frees senior reps from mentoring duty **Rating:** 4.5/5.0 stars **Reviewed by:** Alex H. | Director of Marketing, Mid-Market (51-1000 emp.) **Reviewed Date:** July 15, 2026 **What do you like best about Second Nature AI?** Standardizing how we coach objection handling across the org was what really made it scalable. Enterprise onboarding went more smoothly than any sales-tool rollout I’ve managed, and it felt easier to keep everyone aligned as we rolled it out. **What do you dislike about Second Nature AI?** More native integrations would be helpful. The team has added some of the ones we requested, but the list still isn’t complete. **What problems is Second Nature AI solving and how is that benefiting you?** Rolling out a launch to every market used to take months of coordination. Now the coaching layer ships with the product everywhere at once. Our reps used to practice scenarios that didn’t reflect what was happening in live deals, but the libraries now track the real conversations instead. ### 29. Reduces the variance between sessions **Rating:** 4.5/5.0 stars **Reviewed by:** Ashley S. | VP of Sales, Mid-Market (51-1000 emp.) **Reviewed Date:** July 06, 2026 **What do you like best about Second Nature AI?** It helped me scale the program without having to add enablement headcount, which was the whole point. Having standard scenarios across trainers also reduced trainer-to-trainer variation and made delivery more consistent. **What do you dislike about Second Nature AI?** More native connectors would really help. The team has already shipped a few that I asked for, so I’m hopeful they’ll keep adding more. **What problems is Second Nature AI solving and how is that benefiting you?** Training time used to be inefficient: reps would sit through material that didn’t address their specific gaps. Now they can focus on drilling the exact weak spots instead. I also used to be able to push only a few new hires through onboarding at a time, but now larger cohorts can move through without needing extra sessions. ### 30. Shows measurable gains for reps who started behind **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** July 05, 2026 **What do you like best about Second Nature AI?** Reps come into one-on-ones already warmed up, so coaching can start at the hard part instead of spending time on basics. Features I requested actually showed up on the roadmap, rather than being left as a vague “maybe.” When we roll out a new pitch, it means a new scenario the same day, not next quarter. Reporting that used to be scattered across multiple trackers now lives on a single screen. My prep time as a manager has dropped because the tool takes care of the repetitive parts of coaching. I can adapt a discovery template for a new segment without starting from scratch, and the bar stays consistent for every new hire regardless of who runs onboarding. I can also flag a struggling rep early based on the data, instead of only realizing it after a bad quarter. **What do you dislike about Second Nature AI?** A few of the non-English scenarios needed some cleanup before I felt comfortable trusting them with the team. **What problems is Second Nature AI solving and how is that benefiting you?** Onboarding used to limit how many AEs I could ramp in a single wave; now I can bring on a larger cohort without doubling the number of sessions. Reps used to avoid the toughest objections on real calls, but the safe practice environment lets them face those head-on first. Our old role plays sounded nothing like a real buyer, so reps tuned them out; the scenarios now actually mirror the deals they’re running. My senior closers were losing selling hours to running mock calls, and the tool now takes care of that repetition. Reps also used to wing pricing conversations, but the breakdown shows me exactly where they gave ground. I used to spend evenings reviewing call recordings, and now the analysis surfaces the same issues in minutes. Practice used to depend on me scheduling a mock, but now reps can run drills on their own time, even from their phones. ### 31. Lets reps fix a habit the same week **Rating:** 4.5/5.0 stars **Reviewed by:** Chad A. | Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** July 01, 2026 **What do you like best about Second Nature AI?** My senior closers no longer lose selling hours running mock calls for new hires. Reps can build confidence handling tough objections before they ever get in front of a buyer. I’m also able to run the same scenarios across regions and compare results in a fair, consistent way. Even some of our veteran reps came around once they saw the breakdowns of their calls. **What do you dislike about Second Nature AI?** I wouldn’t mind a quicker AI response, since there’s a small pause every now and then. **What problems is Second Nature AI solving and how is that benefiting you?** Rolling out a new product used to mean a scramble to retrain everyone, but now I can stand up a fresh scenario that same afternoon. I also didn’t have a reliable way to spot a struggling rep early; now the data flags issues before they turn into a bad quarter. New AEs previously took months to contribute, whereas these days they become quota-ready in weeks. Training time used to be inefficient, with reps sitting through sessions that didn’t address their gaps, but now they can drill into the specific areas they’re weak on. ### 32. Gives managers one place to look across regions **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Wholesale | Mid-Market (51-1000 emp.) **Reviewed Date:** June 30, 2026 **What do you like best about Second Nature AI?** The central console gives me real-time visibility into every regional library at once. The analysis evaluates what a rep said about the product, focusing on content rather than how polished their delivery sounded. When a line changes its pitch, the owning team updates that region's library directly. The platform has replaced a patchwork of regional sales training with a single, governed system. **What do you dislike about Second Nature AI?** Deeper native reporting across regions would help; for now, we combine exports. **What problems is Second Nature AI solving and how is that benefiting you?** Ramp never traveled well across regions; each one rebuilt its own playbook until a single, governed content set put everyone on the same page. Leadership previously had no single picture of readiness across the entire footprint, and the platform now rolls that up into one consolidated framework. Onboarding tied up senior reps we needed selling, and centralizing practice freed those people. Readiness had been a judgment call in each region, and the new scoring provides a single benchmark across all of them. ### 33. Gives leadership one readiness picture by region **Rating:** 5.0/5.0 stars **Reviewed by:** Roosevelt B. | Enterprise Sales Director, Mid-Market (51-1000 emp.) **Reviewed Date:** June 25, 2026 **What do you like best about Second Nature AI?** We sell across multiple regions, and our requirement was a single, governed content platform to train our teams and cover everyone consistently. This platform meets that need. **What do you dislike about Second Nature AI?** The voice latency was noticeable at first, but it has improved since then, and now everything works very well. **What problems is Second Nature AI solving and how is that benefiting you?** Onboarding used to tie up senior reps we needed out selling, but centralizing training has freed them up to focus on what they’re supposed to be doing. Leadership also didn’t have a single, consistent picture of readiness across the footprint; now the platform rolls everything up into one framework. Before, we relied on managers to gauge readiness by feel, and the scoring provides a more objective benchmark. ### 34. Reduces the time we spend on readiness and readiness reports **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Wholesale | Mid-Market (51-1000 emp.) **Reviewed Date:** June 23, 2026 **What do you like best about Second Nature AI?** I’m now always in the know about which crew members are improving and which ones are stuck. I’ve also noticed that a lot of my managers got days’ worth of time back as soon as the routine drills started running without them. Last week, we shipped a fresh objection-handling scenario cluster (11 different micro scenarios) in about two hours, and it was propagated across the entire sales org immediately—that’s real power right there. I’m also happy to see many of my top performers drilling from their phones between meetings or on the road, even while on vacation. It’s incredible. We’re essentially “always on,” and that’s been a huge factor in our ability to stay competitive and keep growing. My guys are always in the zone—warm, ready, and able to engage at any moment. **What do you dislike about Second Nature AI?** Nothing in particular comes to mind, although a quicker team-readiness view would be helpful. The building blocks are there, but I still have to assemble it myself. **What problems is Second Nature AI solving and how is that benefiting you?** Weaker AEs used to drag on for a quarter or two (or three) before anyone noticed. Now I’m catching gaps in the data within the first few weeks. I also used to judge readiness by feel, but now the data tells me who can handle what, and to what extent. A slow ramp used to mean new reps leaned on the team for months; now they’re standing on their own very quickly, and I’m still pretty amazed by that part, btw. ### 35. Scales training without scaling headcount **Rating:** 4.5/5.0 stars **Reviewed by:** Nicole D. | Account Manager, Consumer Goods, Mid-Market (51-1000 emp.) **Reviewed Date:** June 10, 2026 **What do you like best about Second Nature AI?** What I really value is being able to reuse a scenario across teams without having to re-author it every single time. The templates are straightforward to clone and adjust, so I’m not spending weekends rebuilding content. And the analysis isn’t just generic style feedback: it breaks down what reps actually said about the product, which is exactly what we needed for more technical messaging. **What do you dislike about Second Nature AI?** We’ve asked for deeper integrations with our HRIS, and it’s encouraging to see that reflected in the roadmap. That said, it still isn’t quite where I’d like it to be for fully automated cohort tracking. **What problems is Second Nature AI solving and how is that benefiting you?** Training didn’t scale for us before. Every time we added a new region, it meant hiring another trainer or running the same sessions again and again. Now I can support multiple teams from a single set of content, and each team still gets the same consistent standard. Roughly thirty percent of our previous ramp time has been eliminated, and our messaging remains aligned across regions. ### 36. Coaches the floor without sitting on every call **Rating:** 4.5/5.0 stars **Reviewed by:** Timothy M. | Project Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** July 07, 2026 **What do you like best about Second Nature AI?** The number my VP cares about most is ramp time, and we’ve cut nearly a third off our time to first deal. The templates also let a team lead tweak a scenario without needing my help. **What do you dislike about Second Nature AI?** Recognition can be a bit inconsistent when a rep is practicing in a loud environment, which the team has acknowledged. **What problems is Second Nature AI solving and how is that benefiting you?** My best closers were getting stuck mentoring instead of selling, and this tool took that burden off their shoulders. Coaching used to be one-size-fits-all, but now I can tailor it to each rep by focusing on the specific gaps the analysis flags. ### 37. Discovery and objections, finally drilled properly **Rating:** 5.0/5.0 stars **Reviewed by:** Blake M. | International Sales, Food Production, Mid-Market (51-1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Second Nature AI?** Discovery questions and objection handling are the two skills that take the most reps to really internalize. The roleplay format gives people a way to practice both without it feeling like a test. The feedback after each session focuses on what they actually said in the moment, which is where most of the learning happens. The templates we built early on have held up well too—we just give them a light refresh each quarter. **What do you dislike about Second Nature AI?** Speech recognition can struggle when a rep is practicing in a noisy environment. Since most of my team works hybrid, if someone is at a co-working space or a café, the transcript can sometimes misread what they’re saying. **What problems is Second Nature AI solving and how is that benefiting you?** Our role plays before this were inconsistent. Some pairings worked well, but others turned into a senior rep checking their phone while the new hire flailed. This pushed our practice into a more consistent format, where every session follows the same structure and uses the same feedback rubric. Reps come out of it sharper and more prepared. ### 38. Keeps coaching standards consistent **Rating:** 5.0/5.0 stars **Reviewed by:** Mark T. | Regional Sales Manager, Consumer Goods, Mid-Market (51-1000 emp.) **Reviewed Date:** June 03, 2026 **What do you like best about Second Nature AI?** What keeps bringing me back is the consistency. Every rep works through the same scenarios and is held to the same standard, which is hard to achieve with live roleplay—especially when you’re short on senior people. The analysis layer breaks down what reps actually said and how they handled objections, so I’m no longer coaching based on gut feel. **What do you dislike about Second Nature AI?** The pricing model felt complex when we first sized the deal. We got there in the end, and it works for our team shape now, but it took a couple of conversations to map out properly. **What problems is Second Nature AI solving and how is that benefiting you?** Training quality used to swing depending on which senior AE was leading the session that week. One rep would get a thorough debrief, another would get fifteen rushed minutes. This gave us an unbiased layer of validation that the training was actually landing. My coaching time now goes to the people who need it most." ### 39. Keeps the bar the same for every new hire **Rating:** 5.0/5.0 stars **Reviewed by:** Kevin P. | CEO, Mid-Market (51-1000 emp.) **Reviewed Date:** July 02, 2026 **What do you like best about Second Nature AI?** Even my most skeptical veteran reps came around once they could see their own call breakdowns. Now they reach for it without any prompting, which is something I never saw with our old training. **What do you dislike about Second Nature AI?** The moving avatars still don’t feel quite right, but I’ve been told that a better version is on the way. **What problems is Second Nature AI solving and how is that benefiting you?** Before, I couldn’t prove in any objective way that the training was actually working, but the scoring now gives me something concrete to show my director. Our reps were repeating the same mistakes for weeks, and the immediate feedback is finally breaking that cycle. ### 40. Practical training tool for AE onboarding. **Rating:** 4.5/5.0 stars **Reviewed by:** Sage J. | Sales, Food Production, Mid-Market (51-1000 emp.) **Reviewed Date:** June 03, 2026 **What do you like best about Second Nature AI?** Practicing real conversations before my reps take them to prospects is what they get the most value from. What really makes it work for me is the post-session analysis: it focuses on what reps actually said, not just whether they stuck to the script. The templates are also easy and fast to clone, so I can set up a scenario for a new product launch in an afternoon. **What do you dislike about Second Nature AI?** Voice latency was pretty rough during our first month of the pilot. It’s gotten better with each release, but you can still run into brief lags during AI processing, especially in longer sessions. **What problems is Second Nature AI solving and how is that benefiting you?** Before using this, onboarding was taking up most of my training capacity. I was running live mock calls myself, and that approach didn’t scale once the team grew beyond a certain point. Now reps can run scenarios on their own time and come to coaching with a clearer sense of where they’re getting stuck. As a result, I can spend my hours on the tougher conversations instead of repeating basic drills. ### 41. Supports training for multiple product lines, stays great at scale **Rating:** 4.5/5.0 stars **Reviewed by:** Evan L. | Enterprise Sales Director, Wholesale, Mid-Market (51-1000 emp.) **Reviewed Date:** June 21, 2026 **What do you like best about Second Nature AI?** It gave leadership a clear read that the ramp is now uniform. The fact that our security team cleared it early also told me the controls were real and in place. **What do you dislike about Second Nature AI?** I’m not sure what there is to dislike—everything seems to work well, and my crew feels the same way. **What problems is Second Nature AI solving and how is that benefiting you?** Reps used to handle tough negotiations for the first time on real deals; now they rehearse them beforehand. New messaging used to reach the field weeks late, and now the coaching layer lands with the launch (almost). Hiring at scale had outrun our trainer hours, but self-serve practice removed that ceiling completely. ### 42. Keeps new hires productive sooner **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Construction | Mid-Market (51-1000 emp.) **Reviewed Date:** July 18, 2026 **What do you like best about Second Nature AI?** It runs quietly in the background throughout the team’s week, so I don’t have to police logins. The reps can correct course quickly because the feedback comes back immediately. **What do you dislike about Second Nature AI?** Speech recognition can slip a bit in a noisy room, which is common on a busy floor. **What problems is Second Nature AI solving and how is that benefiting you?** With the new product, we had to scramble and retrain, but now I can stand up a fresh scenario that same afternoon. Before, I had no reliable way to spot a struggling rep early; now the data flags them before it turns into a bad quarter. New reps also used to sit idle while waiting for a coaching slot, and now they can practice as soon as they have a free hour. ### 43. Makes a launch reach every region in week one **Rating:** 5.0/5.0 stars **Reviewed by:** Shiloh G. | Enterprise Sales Director, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** July 15, 2026 **What do you like best about Second Nature AI?** We can segment libraries by product line and still report against one framework. We standardized ramp across several regions from a single console. **What do you dislike about Second Nature AI?** There are slight lags during AI response processing, short but present at our volume. **What problems is Second Nature AI solving and how is that benefiting you?** Reps practiced scenarios that did not reflect live deals, and the libraries now track the real conversations. Each market built its ramp in isolation, and central libraries unified them. Hiring at scale outran our trainer hours, and self-serve practice removed that ceiling. ### 44. Flexible and interactive, great for role-play for agents with various customer types. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care **Reviewed Date:** April 22, 2026 **What do you like best about Second Nature AI?** What stands out right away is how realistic the simulations feel. The AI personas respond dynamically, which makes practicing things like discovery calls, cold outreach, and objection handling surprisingly engaging. It’s a big step up from static scripts or traditional role-play since you can practice anytime and get immediate feedback on your performance. Another strong point is customization. You can upload your own materials—like sales decks or call recordings—and build tailored scenarios. That makes it actually useful for real-world prep instead of generic practice. The instant scoring and feedback on things like tone, clarity, and confidence also help you identify specific areas to improve. **What do you dislike about Second Nature AI?** The conversations can still feel a bit structured, and if you’re experienced, you might notice patterns or ways to “game” the system rather than truly improve. Some users also mention that while it’s great for practicing frameworks and messaging, it doesn’t fully replace the nuance of real human interaction. **What problems is Second Nature AI solving and how is that benefiting you?** Second Nature is a powerful training tool, especially for onboarding or sharpening specific skills. It’s best used as a supplement to real conversations rather than a complete replacement—but if you use it consistently, it can definitely help build confidence and reduce ramp-up time. ### 45. Easy Content Creation **Rating:** 5.0/5.0 stars **Reviewed by:** Crimson D. **Reviewed Date:** April 21, 2026 **What do you like best about Second Nature AI?** What I like best about Second Nature AI is how seamlessly it complements the content I develop in Articulate Rise. The platform is intuitive and easy to navigate, which makes the creation process efficient and straightforward. I especially appreciate how simple it is to build and customize personas, allowing me to create realistic, targeted practice scenarios. Importing scripts is also quick and hassle-free, which helps streamline my workflow and reduces development time. Overall, it’s a highly user-friendly tool that enhances the effectiveness of my training content. **What do you dislike about Second Nature AI?** What I like least about Second Nature AI is that the available persona options can feel somewhat limited. While the existing personas are effective, having a broader range of customizable or pre-built personas would provide more flexibility and allow for even more tailored, diverse training scenarios. Expanding this area would further enhance the platform’s ability to meet a wider variety of learning needs **What problems is Second Nature AI solving and how is that benefiting you?** Second Nature AI helps solve the challenge of providing agents with consistent, one-on-one practice opportunities to refine their skills. It allows them to engage in realistic role-play scenarios independently, giving them the space to practice their process, build confidence, and improve performance without always requiring a live facilitator. This makes training more scalable while still maintaining a personalized, hands-on learning experience. ### 46. Lets reps drill from their phones between meetings **Rating:** 4.5/5.0 stars **Reviewed by:** Timmy B. | Founder & CEO, Small-Business (50 or fewer emp.) **Reviewed Date:** July 04, 2026 **What do you like best about Second Nature AI?** I can finally see whether a rep can handle discount pushback instead of just guessing. It gives me an honest read on their readiness without having to listen to every single recording. **What do you dislike about Second Nature AI?** More native connectors would definitely help, and the team has already delivered several of the ones we requested. **What problems is Second Nature AI solving and how is that benefiting you?** New reps used to sit idle while waiting for a coaching slot; now they can practice as soon as they have a free hour. Before, reps would get on live calls underprepared, but now they show up having already rehearsed the tough moments. Our ramp numbers used to be guesswork, and now I can point to a clear before-and-after in time to productivity. ### 47. Reporting visibility makes coaching decisions easier **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Small-Business (50 or fewer emp.) **Reviewed Date:** June 09, 2026 **What do you like best about Second Nature AI?** Reporting visibility is what ultimately closed the deal for me. I can clearly see who’s actually progressing and who’s still stuck on the same objection week after week, and that directly changes how I plan my coaching. The reps get to practice in a low-pressure environment and improve through repetition, which is the part that really benefits them. The post-session feedback also evaluates what was said, not just how it was delivered, and that’s exactly what traditional roleplay never gave me. **What do you dislike about Second Nature AI?** Not every language feels equally polished. English has been solid for our team, but our partners in LATAM have pointed out that some Spanish responses sound slightly off or unnatural. **What problems is Second Nature AI solving and how is that benefiting you?** Before this, we didn’t have an objective way to confirm whether the training was actually working. Manager feedback varied a lot and often felt inconsistent, sometimes biased toward the people they personally liked. Having this in place gave us a clear benchmark I could point to when leadership asked if our enablement spend was paying off. As a result, speed to competency on new messaging improved and the time it took for people to get up to speed dropped. ### 48. Shortens the ramp for new hires **Rating:** 5.0/5.0 stars **Reviewed by:** Emily R. | Sales Director, Consumer Goods, Mid-Market (51-1000 emp.) **Reviewed Date:** June 08, 2026 **What do you like best about Second Nature AI?** New hires no longer have to wait for a trainer to be available before they can start training, which used to be our biggest bottleneck. They can work through realistic objection drills on their own, then come back with specific, focused questions. I can also build a new scenario from the template library in under an hour, so the content stays current with whatever is happening on the sales floor. **What do you dislike about Second Nature AI?** It took us a couple of days to really get the hang of building role plays on our own. **What problems is Second Nature AI solving and how is that benefiting you?** We can build training sessions in just a few hours, which makes us very flexible and quick when creating training to support new features. ### 49. Validates readiness the same way everywhere **Rating:** 4.5/5.0 stars **Reviewed by:** Luis C. | Sales & marketing, Enterprise (> 1000 emp.) **Reviewed Date:** July 05, 2026 **What do you like best about Second Nature AI?** The analysis grades pitch accuracy, not delivery polish, which is what a complex sale really needs. With central content management, each region stays aligned with the approved pitch instead of drifting off-message. **What do you dislike about Second Nature AI?** We were hoping for deeper native integration with Salesforce and Workday, but the improvements have come in stages rather than all at once. **What problems is Second Nature AI solving and how is that benefiting you?** Spinning up training for a new region used to mean duplicating sessions and trainers. Now, the same library reaches everyone from a single place. Before, each market built its own ramp in isolation; central libraries have brought those efforts together and unified them. ### 50. Training plus performance visibility in one place **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Medical Devices | Mid-Market (51-1000 emp.) **Reviewed Date:** June 05, 2026 **What do you like best about Second Nature AI?** Beyond the roleplay itself, the progress data is what I keep open most days. It shows me who’s stuck and where, so I’m not having the same coaching conversation with everyone. The templates are quick to spin up when I need a new scenario because something has shifted in our pitch. And the post-session breakdown focuses on the substance of what’s said, not just how polished it sounds. **What do you dislike about Second Nature AI?** I still notice slight lag when the AI is processing responses, especially on busier days. It doesn’t break training, but there are moments when a rep will pause mid-sentence, unsure whether the AI actually heard them. **What problems is Second Nature AI solving and how is that benefiting you?** Coaching used to feel like a guessing game. Managers would give feedback based on the one or two calls they happened to listen in on. Now I have real data on patterns across the whole team, so coaching is more personalized and consistent. Reps who used to fly under the radar are finally getting the attention they weren’t getting before. ## Second Nature AI Discussions - [Nothing. I like everything about it](https://www.g2.com/discussions/nothing-i-like-everything-about-it) - 2 comments, 1 upvote - [What is Second Nature AI used for?](https://www.g2.com/discussions/what-is-second-nature-ai-used-for) - 1 comment - [View Second Nature AI pricing details and edition comparison](https://www.g2.com/products/second-nature-ai/reviews?section=pricing&secure%5Bexpires_at%5D=2026-07-19+08%3A54%3A09+-0500&secure%5Bsession_id%5D=7be11245-e5ac-4521-805e-f154c39c3f33&secure%5Btoken%5D=fe064cff47f89e9a3b659eb383a834e870a10355460bab07faed4b4d9ce5b7e1&format=llm_user) ## Second Nature AI Integrations - [Adobe Learning Manager (formerly Adobe Captivate Prime)](https://www.g2.com/products/adobe-learning-manager/reviews) - [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews) - [Cornerstone](https://www.g2.com/products/cornerstone-cornerstone/reviews) - [Docebo](https://www.g2.com/products/docebo/reviews) - [HubSpot Sales Hub](https://www.g2.com/products/hubspot-sales-hub/reviews) - [Microsoft Entra ID](https://www.g2.com/products/microsoft-entra-id/reviews) - [Okta](https://www.g2.com/products/okta/reviews) - [Salesforce Headless 360 Platform (formerly Salesforce Platform)](https://www.g2.com/products/agentforce-360-platform-formerly-salesforce-platform/reviews) - [SAP SuccessFactors HCM](https://www.g2.com/products/sap-sap-successfactors-hcm/reviews) - [SCORM Cloud](https://www.g2.com/products/scorm-cloud/reviews) - [Workday Learning](https://www.g2.com/products/workday-learning/reviews) - [Workday Platform](https://www.g2.com/products/workday-platform/reviews) ## Second Nature AI Features **Training & eLearning** - Content Creation - Content Libraries **Course Authoring** - Course Builder - Questions - Instructor-Led Training - Customized Learning Paths - Video simulations **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Sales Coaching** - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making **Platform - AI Sales Roleplay Tools** - Skill-Based Certification - Low-Latency Conversations - Cross-system Integration - Roleplay Buyer Simulation - Methodology Alignment **Training** - Knowledge Base - Coaching Materials - Playbook Creation - Video Record **Course Management** - Gamification - Assessments - Certifications - Manager Portals - Feedback **Agentic AI - Course Authoring** - Adaptive Learning - Natural Language Interaction **Customization - AI Sales Roleplay Tools** - Scenario Creation - Customizable AI Personas - Multiple Roleplay Type **Feedback** - Review - Scorecard - Coaching Card - Leaderboard - Real-Time Updates - Notifications - Competition **Platform** - File support - Mobile support - Integration **Feedback Analysis - AI Sales Roleplay Tools** - Roleplay Reviews - Real-Time AI Coaching & Feedback - Speech Analysis - Performance Scoring & Analytics **Onboarding** - Documentation - Coaching - Programs **Generative AI** - AI Text Summarization **Agentic AI - AI Sales Roleplay Tools** - Adaptive Learning - Natural Language Interaction - Decision Making **Platform** - Customization - Integration APIs - Internationalization - User, Role, and Access Management - Dashboards **Generative AI** - AI Text-to-Speech ## Top Second Nature AI Alternatives - [Mindtickle](https://www.g2.com/products/mindtickle/reviews) - 4.7/5.0 (2,238 reviews) - [Bigtincan Readiness (formerly Brainshark)](https://www.g2.com/products/bigtincan-readiness-formerly-brainshark/reviews) - 4.4/5.0 (595 reviews) - [Allego](https://www.g2.com/products/allego/reviews) - 4.6/5.0 (689 reviews)