---
title: Second Nature AI Reviews
meta_title: 'Second Nature AI Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 365 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: 365
  scale: '5'
date_modified: '2026-07-20'
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:** 365
## 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&#39;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&#39;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. Keeps the global pitch from drifting region to region

**Rating:** 5.0/5.0 stars

**Reviewed by:** Gail  B. | Sales Enablement Manager, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 20, 2026

**What do you like best about Second Nature AI?**

New reps are reaching quota readiness faster than they did under our old instructor-led ramp. The platform has handled our headcount without the performance issues I expected at this scale. Ramp-up is also more consistent across regions because every rep trains on the same scenarios. Pitch coaching now reaches every region at the same time, instead of slowly rolling out office by office.

**What do you dislike about Second Nature AI?**

More native integrations would really help. The team has added a few 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?**

We didn’t have defensible proof that our enablement spend was working, and standardized scoring now gives leadership a clear answer. Before, proving what was actually trained meant reconstructing it after the fact; now the records link directly to the approved playbooks. Our new-product ramp used to lag behind how quickly we launch, but reps are now up to date on the pitch within the first week. Messaging also drifted between regions, and having a central library keeps every market aligned to the approved pitch.

  ### 2. Keeps every trainer teaching the same playbook

**Rating:** 5.0/5.0 stars

**Reviewed by:** Keith  W. | Sales Enablement Director, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 19, 2026

**What do you like best about Second Nature AI?**

The data surfaces patterns across a cohort that I can genuinely build sales coaching around. The analysis also flags product-claim accuracy, which is exactly where reps tend to slip. As a manager, I can pick up a template and tailor it to my segment without starting from scratch. I can also use the data to prove readiness before a cohort ever touches live accounts.

**What do you dislike about Second Nature AI?**

I’d like to see more integrations with our stack. The team has already added a few that we requested, so I’m keeping an eye on the roadmap to see what’s coming next.

**What problems is Second Nature AI solving and how is that benefiting you?**

Training quality used to depend on which trainer happened to be running the room, but now a single standard scenario set holds every cohort to the same bar. Onboarding also used to be one-size-fits-all: fast learners would stall, and slower learners got rushed. Since adding self-paced practice, each person can move at the right speed without being held back or pushed ahead too quickly. We also didn’t have proof the program was moving the number before, and the data now makes that case clearly to leadership.

  ### 3. 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.

  ### 4. 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.

  ### 5. 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.

  ### 6. Makes the switch worth it on practice plus analytics

**Rating:** 4.5/5.0 stars

**Reviewed by:** Sara  D. | Founder &amp; 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.

  ### 7. 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.

  ### 8. 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.

  ### 9. 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.

  ### 10. 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.


## 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/second-nature-ai-review-13123192?section=pricing&secure%5Bexpires_at%5D=2026-07-20+13%3A18%3A53+-0500&secure%5Bsession_id%5D=16ebc7d6-04a5-4730-ad94-ea6d8ba4787f&secure%5Btoken%5D=e6d4d1ce51a9df125d7f0f3e1ba524fcc821def373f57e5381bee328ec62009f&format=llm_user)
## Second Nature AI Integrations
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  - [Okta](https://www.g2.com/products/okta/reviews)
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  - [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

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