Best Enterprise AI Chatbots Software

How Many Enterprise AI Chatbots Software Products Does G2 Track?

Total Products under this Category: 66

Category Stats (Oct 2026)

  • Average Rating: 4.55/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: ServiceNow EmployeeWorks (+0.28%) - Among all products in this category, ServiceNow EmployeeWorks recorded the largest rating increase compared to last month

Last updated: October 07, 2026

How Does G2 Rank Enterprise AI Chatbots Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 47,700+ Authentic Reviews
  • 66+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Enterprise AI Chatbots Software

G2 Grid® for Enterprise AI Chatbots Software plotting products by satisfaction and market presence

Highlighted products: Slack, Claude, IBM watsonx.ai, Microsoft Copilot, ChatGPT, Glean, ServiceNow EmployeeWorks, and ServiceNow IT Operations Management.

Underlying data: [Grid® JSON](https://www.g2.com/categories/enterprise-ai-chatbots/grids.json?focus%5B%5D=slack&focus%5B%5D=claude-2025-12-11&focus%5B%5D=ibm-watsonx-ai&focus%5B%5D=microsoft-copilot-2026-08-27&focus%5B%5D=chatgpt&focus%5B%5D=glean-technologies-glean&focus%5B%5D=servicenow-employeeworks&focus%5B%5D=servicenow-it-operations-management)

Slack

Slack is your single workspace that connects you with the people and tools you work with everyday, no matter where you are or what you do. With Slack you get real-time messaging through calls and chat, a searchable record of all your files and conversations, and integrations with a growing number of handy bots and apps. Now everyone can finally be on the same page and get their work done. Slack: It’s where work happens.

Average Rating: 4.5/5.0

Total Reviews: 37,922

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Who Is the Company Behind Slack?

  • Seller: Salesforce
  • Company Website:
  • Year Founded: 1999
  • HQ Location: San Francisco, CA
  • Twitter: @salesforce
    579,511 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    89,711 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Project Manager
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 41% Small, 41% Medium

What Do G2 Reviewers Say About Slack?

AI-generated summary from verified user reviews

Pros
  • Users find Slack to be extremely easy to use, facilitating seamless collaboration and integration across teams.
  • Users love the effective team collaboration in Slack, finding huddles and organized channels enhance communication and task management.
  • Users love Slack for its efficient communication, enabling quick responses and seamless team collaboration across time zones.
  • Users love the seamless integrations of Slack, enhancing collaboration and automating tasks effortlessly across the platform.
  • Users appreciate the ease of coordination and integrations in Slack, enhancing team communication and productivity.
Cons
  • Users often face notification issues in Slack, causing missed messages and overwhelming alerts from multiple channels.
  • Users find the missing features in Slack lead to confusion and difficulty in organizing channels efficiently.
  • Users are frustrated by Slack's limited message history and lack of intuitive organization for shared assets.
  • Users find the overwhelming experience of constant alerts and message volume to be stressful and distracting.
  • Users find the overwhelming number of channels and limited message history challenging for project tracking and communication.

What Are Recent G2 Reviews of Slack?

What Are G2 Users Discussing About Slack?

Claude

Claude is a state-of-the-art large language model (LLM) developed by Anthropic, designed to serve as a helpful, honest, and harmless AI assistant. With its advanced reasoning capabilities and conversational tone, Claude excels in tasks ranging from complex coding to in-depth financial analysis, making it a versatile tool for developers, enterprises, and financial professionals. Key Features and Functionality: - Advanced Coding Capabilities: Claude Opus 4 leads in coding performance, achieving top scores on benchmarks like SWE-bench and Terminal-bench. It supports sustained, long-running tasks, enabling continuous work for several hours, which is ideal for complex software development projects. - Financial Analysis Tools: Claude integrates seamlessly with financial data platforms such as Databricks and Snowflake, providing a unified interface for market analysis, research, and investment decision-making. It offers direct hyperlinks to source materials for instant verification, enhancing the efficiency of financial workflows. - Extended Context Windows: With an enhanced 500k context window available in Claude Sonnet 4, users can upload extensive documents, including hundreds of sales transcripts or large codebases, facilitating comprehensive analysis and collaboration. - Tool Use and Integration: Claude's extended thinking capabilities allow it to utilize tools like web search during reasoning processes, improving response accuracy. It also supports background tasks via GitHub Actions and integrates natively with development environments like VS Code and JetBrains for seamless pair programming. - Enterprise-Grade Security: The Claude Enterprise plan offers advanced security features, including Single Sign-On (SSO), Just-in-Time Provisioning (JIT), role-based permissions, audit logs, and custom data retention controls, ensuring data safety and compliance for organizations. Primary Value and User Solutions: Claude addresses the need for a reliable and intelligent AI assistant capable of handling complex tasks across various domains. For developers, it enhances productivity through advanced coding support and integration with development tools. Financial professionals benefit from its ability to unify and analyze diverse data sources, streamlining research and decision-making processes. Enterprises gain from its scalable solutions and robust security features, enabling efficient and secure deployment of AI capabilities within their operations. Overall, Claude empowers users to achieve higher efficiency, accuracy, and innovation in their respective fields.

Average Rating: 4.6/5.0

Total Reviews: 474

Who Is the Company Behind Claude?

  • Seller: Anthropic
  • HQ Location: San Francisco, California
  • Twitter: @AnthropicAI
    1,440,248 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5,886 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, IT Manager
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 54% Small, 32% Medium

What Do G2 Reviewers Say About Claude?

AI-generated summary from verified user reviews

Pros
  • Users value Claude's ease of use, allowing for clear, structured, and organized content creation effortlessly.
  • Users value Claude for its deep discussion capabilities and effective context management for intellectual pursuits.
  • Users find Claude to be exceptionally helpful for deep discussions, aiding in intellectual work and creative projects.
  • Users commend the accuracy of Claude, noting its well-articulated and thoroughly researched answers.
  • Users value Claude's clarity and structured communication, which greatly enhances health education and patient interactions.
Cons
  • Users face usage limitations with Claude, including access restrictions, performance inconsistency, and file handling issues.
  • Users note significant limitations with Claude, including focus on text, lack of visual support, and slow responsiveness.
  • Users find Claude's limited functionality restricts visual content creation and rapid research, impacting efficiency and usability.
  • Users find that Claude can be overly cautious and long-winded, hindering quick and effective responses.
  • Users find the resource limitations frustrating, impacting productivity and increasing costs for their workload management.

What Are Recent G2 Reviews of Claude?

IBM watsonx.ai

Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI lifecycle. With watsonx.ai, you can build, train, validate, tune and deploy generative AI, foundation models and machine learning capabilities with ease and build AI applications in a fraction of the time with a fraction of the data.

Average Rating: 4.4/5.0

Total Reviews: 140

Who Is the Company Behind IBM watsonx.ai?

  • Seller: IBM
  • Company Website:
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Consultant
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 40% Small, 32% Large

What Do G2 Reviewers Say About IBM watsonx.ai?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of IBM watsonx.ai, facilitating straightforward integration and model development.
  • Users value the wide range of model types in IBM watsonx.ai, enhancing flexibility and efficiency in development.
  • Users appreciate the user-friendly platform that simplifies building and deploying AI models efficiently and effectively.
  • Users appreciate the user-friendly AI studio of IBM watsonx.ai, enabling efficient chatbot creation with minimal coding.
  • Users appreciate the enterprise-grade AI of IBM watsonx.ai, which integrates seamlessly for practical, reliable business solutions.
Cons
  • Users find the difficult learning curve challenging, indicating the need for clearer documentation and better onboarding support.
  • Users find the complexity of IBM watsonx.ai challenging, especially for beginners and small teams seeking easier solutions.
  • Users find the steep learning curve of IBM watsonx.ai challenging, making it less approachable for non-technical teams.
  • Users express concerns about the high costs of IBM watsonx.ai, finding it challenging and not budget-friendly for small teams.
  • Users feel that improvement is needed in 3rd party integration and intelligent model optimization for better performance.

What Are Recent G2 Reviews of IBM watsonx.ai?

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Microsoft Copilot

Microsoft Copilot is a generative AI assistant for work that’s built into the Microsoft 365 apps people use every day—like Word, Excel, PowerPoint, Outlook, and Teams. It helps you stay in the flow of work by turning your ideas, content, and data into action. Powered by Work IQ, Copilot connects the dots across your work—bringing together your emails, files, meetings, and conversations to deliver more relevant, contextual, and personalized assistance. It understands how work gets done in your organization and adapts to your role, priorities, and patterns over time. Copilot works alongside you to help draft content, analyze data, summarize meetings, and automate tasks—so you can move faster and focus on what matters most. Because it’s built directly into the apps you already use, there’s no need to switch tools or start from scratch. Copilot also inherits Microsoft 365 security, privacy, and compliance controls, so it only surfaces information users are authorized to access while keeping your data protected. By combining AI with the tools and data organizations already rely on, Copilot helps people work smarter, move faster, and get more done. Apps like Word, Excel, PowerPoint, Outlook, Teams, and Loop work with Copilot to support users in the context of their work. For example, Copilot in Word helps users create, understand, and edit documents. By using Copilot Chat, you can draft content, review what you missed, and get answers to questions by using open-ended prompts. This information is securely grounded in your work data. Copilot Search is an AI-powered universal search experience across all your Microsoft 365 applications and connected non-Microsoft data sources. It's integrated with Microsoft 365 Copilot, so users can find the results they need by using search, then seamlessly transition to chat for deeper exploration or follow-up task completion. Out of the box agents like Facilitator, Interpreter, or Channels help support meeting logistics, communication, and collaboration in Microsoft Teams.

Average Rating: 4.4/5.0

Total Reviews: 368

Who Is the Company Behind Microsoft Copilot?

  • Seller: Microsoft
  • Company Website:
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • Twitter: @microsoft
    13,091,739 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Project Manager, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 34% Small, 34% Large

What Are Recent G2 Reviews of Microsoft Copilot?

ChatGPT

ChatGPT is an advanced AI language model developed by OpenAI, designed to assist users in generating human-like text based on the input it receives. It serves as a versatile tool for a wide range of applications, including drafting emails, writing code, creating content, and providing detailed explanations on various topics. ChatGPT is continually evolving to enhance user experience and meet diverse needs. Key Features and Functionality: - Natural Language Understanding: ChatGPT can comprehend and generate text that closely resembles human conversation, making interactions intuitive and engaging. - Versatile Applications: It supports tasks such as content creation, coding assistance, learning new concepts, and more, catering to both personal and professional use cases. - Continuous Improvement: OpenAI regularly updates ChatGPT to improve its performance, accuracy, and safety, ensuring it remains a reliable tool for users. Primary Value and User Solutions: ChatGPT addresses the need for efficient and accessible assistance in various domains. By leveraging its advanced language processing capabilities, it helps users save time, enhance productivity, and access information seamlessly. Whether it's drafting documents, learning new subjects, or automating routine tasks, ChatGPT provides a valuable resource that adapts to individual requirements, making it an indispensable tool in today's digital landscape.

Average Rating: 4.6/5.0

Total Reviews: 2,999

Who Is the Company Behind ChatGPT?

  • Seller: OpenAI
  • Year Founded: 2015
  • HQ Location: San Francisco, CA
  • Twitter: @OpenAI
    4,941,980 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    10,438 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Student, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 54% Small, 27% Medium

What Do G2 Reviewers Say About ChatGPT?

AI-generated summary from verified user reviews

Pros
  • Users find ChatGPT’s ease of use invaluable, as it simplifies tasks and enhances daily productivity effortlessly.
  • Users appreciate the quick and tailored responses of ChatGPT, enjoying its versatility for various tasks and inquiries.
  • Users value the quick and helpful responses of ChatGPT, enhancing understanding and resolving queries efficiently.
  • Users value the time-saving capabilities of ChatGPT, enabling faster brainstorming and efficient design processes.
  • Users love ChatGPT for its time-saving capabilities, streamlining tasks like content creation and scheduling efficiently.
Cons
  • Users note that ChatGPT has accuracy limitations, often providing incorrect answers and misunderstanding questions with overconfidence.
  • Users find context understanding in ChatGPT lacking, leading to confusion and repetitive responses in conversations.
  • Users find the limited context window of ChatGPT frustrating, affecting its ability to process extensive information effectively.
  • Users note the inaccuracy of ChatGPT, often requiring validation of its responses for correctness and detail.
  • Users experience inaccurate responses from ChatGPT, leading to confusion and the need for clarification to achieve satisfactory answers.

What Are Recent G2 Reviews of ChatGPT?

What Are G2 Users Discussing About ChatGPT?

Glean

Glean is the Work AI platform that connects and understands your company’s data so every employee can find answers, generate content, and automate work with AI. Built around Search, Assistant, and Agents, Glean delivers trusted, personalized AI grounded in your company’s knowledge. With 275+ out-of-the-box connectors, real-time permissions, and enterprise-grade security and governance, Glean helps teams work faster and turn knowledge into action. Glean: Work AI that Works.

Average Rating: 4.7/5.0

Total Reviews: 330

Who Is the Company Behind Glean?

  • Seller: Glean Technologies
  • Company Website:
  • Year Founded: 2019
  • HQ Location: Mountain View
  • Twitter: @gleanwork
    742 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,769 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Account Executive
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 52% Large, 40% Medium

What Do G2 Reviewers Say About Glean?

AI-generated summary from verified user reviews

Pros
  • Users find Glean's ease of use remarkable, quickly accessing relevant information and enhancing productivity effortlessly.
  • Users appreciate Glean's speed in surfacing relevant information, streamlining access across workplace tools and saving valuable time.
  • Users value Glean for its time-saving efficiency, enhancing workflows by streamlining access to critical information.
  • Users value the fast search capabilities of Glean, which streamline information retrieval and enhance productivity.
  • Users value Glean for its effortless information retrieval, quickly summarizing relevant data from multiple sources to save time.
Cons
  • Users desire improvements for transparency and accuracy in Glean, as current limitations hinder efficiency and trustworthiness.
  • Users find the search functionality lacking, as results can be too broad and require extra steps to refine.
  • Users find the inadequate filtering of Glean makes it challenging to narrow down search results effectively.
  • Users desire improved transparency and control in Glean to enhance trust and usability in complex tasks.
  • Users find the limited customization options unsatisfactory, leading to occasional irrelevant search results in their experience.

What Are Recent G2 Reviews of Glean?

ServiceNow EmployeeWorks

Moveworks unifies every business system with natural language, giving employees one place to go to find information, automate tasks, and be more productive, increasing employee efficiency and satisfaction by streamlining everyday tasks. Powered by a pioneering agentic AI infrastructure that leverages the world’s most advanced LLMs and our proprietary MoveLM models, Moveworks understands employee requests, devises intelligent plans, and executes actions to complete tasks across application boundaries in over 100 languages. More than 350 brands, such as Toyota, Spotify, GitHub, Marriott, Snowflake, Unity, Databricks, Broadcom, Hearst, and Palo Alto Networks, trust Moveworks to automate menial tasks and power a universal search interface across business applications. Learn more at moveworks.com.

Average Rating: 4.4/5.0

Total Reviews: 115

Who Is the Company Behind ServiceNow EmployeeWorks?

  • Seller: ServiceNow
  • Company Website:
  • Year Founded: 2004
  • HQ Location: Santa Clara, CA
  • Twitter: @servicenow
    55,548 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    35,078 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 61% Large, 14% Small

What Do G2 Reviewers Say About ServiceNow EmployeeWorks?

AI-generated summary from verified user reviews

Pros
  • Users value the high efficiency of ServiceNow EmployeeWorks, which streamlines IT support and saves significant time.
  • Users find Moveworks to be easy to use, enjoying its efficient AI capabilities and straightforward implementation.
  • Users admire the impressive AI integration of Moveworks, enhancing efficiency and streamlining IT support effectively.
  • Users appreciate the AI integration and efficiency of ServiceNow EmployeeWorks, significantly enhancing productivity and support processes.
  • Users appreciate the time-saving capabilities of Moveworks, significantly improving efficiency and reducing the need for manual interventions.
Cons
  • Users often face complexity in integrating ServiceNow EmployeeWorks, leading to slow responses and significant time commitments.
  • Users struggle with the steep learning curve and time investment needed for integrating ServiceNow EmployeeWorks effectively.
  • Users find the time-consuming integration process with ServiceNow EmployeeWorks frustrating and challenging to manage effectively.
  • Users express concerns about usage limitations, particularly regarding integration with non-ServiceNow platforms and feature development.
  • Users experience delayed response times from Moveworks, affecting the overall support and issue resolution process.

What Are Recent G2 Reviews of ServiceNow EmployeeWorks?

What Are G2 Users Discussing About ServiceNow EmployeeWorks?

ServiceNow IT Operations Management

ServiceNow IT Operations Management (ITOM) is a comprehensive solution designed to enhance the visibility, health, and optimization of an organization's IT infrastructure. By integrating advanced automation and artificial intelligence, ITOM enables proactive management of IT operations, reducing downtime and improving service delivery. Key Features and Functionality: - ITOM Visibility: Automates the discovery of IT assets across on-premises, cloud, and hybrid environments, providing a unified view of the infrastructure. Service Mapping identifies dependencies between IT components, facilitating impact analysis and change management. - ITOM Health: Consolidates and correlates events from various monitoring tools, enabling IT teams to prioritize and respond to critical incidents promptly. Operational Intelligence leverages AI and machine learning to detect patterns and anomalies, allowing for proactive issue resolution. - ITOM Optimization: Manages cloud resources effectively by providing visibility and control over public, private, and hybrid cloud environments. Automates provisioning, lifecycle management, and cost optimization of IT resources supporting application services. Primary Value and Solutions Provided: ServiceNow ITOM addresses the challenges of managing complex IT environments by offering a unified platform that enhances operational efficiency and service reliability. It enables organizations to transition from reactive to proactive operations, minimizing the risk of outages and optimizing resource utilization. By automating routine tasks and providing real-time insights, ITOM empowers IT teams to focus on strategic initiatives, ultimately driving business growth and resilience.

Average Rating: 4.4/5.0

Total Reviews: 465

Who Is the Company Behind ServiceNow IT Operations Management?

  • Seller: ServiceNow
  • Company Website:
  • Year Founded: 2004
  • HQ Location: Santa Clara, CA
  • Twitter: @servicenow
    55,548 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    35,078 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Business Analyst
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 50% Large, 21% Medium

What Do G2 Reviewers Say About ServiceNow IT Operations Management?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of ServiceNow IT Operations Management, enhancing customer support and operational efficiency.
  • Users value the visibility provided by ServiceNow IT Operations Management, enhancing transparency and driving productivity across the organization.
  • Users value the visibility and insights provided by ServiceNow IT Operations Management, enhancing infrastructure and application management.
  • Users value the time-saving automation in ServiceNow IT Operations Management, enhancing transparency and operational control.
  • Users praise the exceptional flexibility of ServiceNow IT Operations Management, enhancing case resolution and documentation efficiency.
Cons
  • Users face a steep learning curve with ServiceNow IT Operations Management due to its complexity and numerous features.
  • Users find the complexity of ServiceNow IT Operations Management to be a significant barrier, hindering effective setup and usage.
  • Users find the setup complexity to be a challenge, requiring significant effort and expertise to navigate effectively.
  • Users find ServiceNow IT Operations Management to be expensive, which may limit accessibility for smaller organizations.
  • Users face a steep learning curve with ServiceNow IT Operations Management, making effective use challenging and time-consuming.

What Are Recent G2 Reviews of ServiceNow IT Operations Management?

What Are G2 Users Discussing About ServiceNow IT Operations Management?

Coworker

Coworker is an enterprise AI platform that routes each task to the right model with the right context. Teams get frontier-quality outputs at about 82% lower cost per task, and run roughly 5x more inference per dollar than they would on direct Claude or OpenAI consumption. Overview. Coworker is built for companies whose AI usage is growing faster than their AI budget. As frontier model adoption has scaled, customers face a tradeoff between slowing down adoption and cutting headcount to control spend. Coworker takes a different approach. It routes across open and frontier models and pairs each task with persistent organizational context, which cuts cost per task without giving up output quality. Coworker works alongside the tools teams already use. Customers connect their stack with no-code OAuth and Coworker starts building organizational context right away. About a minute after sign-up, users see a summary of their work, a map of their key collaborators, three to five role-tuned agents, and a suggested first task. Key Features. Intelligent Model Routing sends each task to the model that can handle it most efficiently. Meeting summaries go to lower-cost models like Kimi K2.6 (about $1.71 per million tokens), while data analysis and other complex work go to frontier models like Claude Opus 4 (about $10 per million tokens). Cost per task is fully visible to customers. OM1 Organizational Memory is a persistent memory layer that learns how each customer's company operates: people, projects, customers, processes, and workflows follow every task, no matter which model runs it, and that context is portable across models, so customers don't have to re-onboard when new models ship. Chat Mode is a fast, conversational interface for questions, lookups, summaries, and exploratory work, with simple visualizations rendered in a text canvas. Build Mode turns any chat thread into formatted deliverables like PDFs, spreadsheets, dashboards, and interactive artifacts, keeping full context from Chat Mode so customers can go from exploring an idea to a finished deliverable without starting over. Agent Builder sets up role-tuned agents at onboarding, and customers can build additional agents to automate recurring work across their connected systems. Self-Serve Onboarding lets you sign up, OAuth your tools, and get value in about a minute, with no sales-led implementation required. Use Cases. Sales teams use Coworker for account and prospect research, deal health, context-aware follow-ups, objection handling, and call coaching grounded in CRM and meeting data. Customer Success teams get health scoring across product usage, tickets, and meeting sentiment, plus early churn signals, automated QBR prep, and less repetitive CS workload. Engineering and Product teams get customer feedback and bug themes pulled together, release notes drafted for them, PR review help, and docs, FAQs, and incident summaries sourced from GitHub, Jira, Slack, and internal docs. Leadership and Operations get real-time visibility into team priorities, project status, blockers, and people-management context without chasing updates across five tools. For Internal Knowledge, Coworker answers policy and process questions from the customer's actual Notion, Drive, Confluence, and Slack history. Integrations. Coworker connects to existing tools with no-code OAuth, including Slack, Gmail, and Google Calendar for communication; HubSpot, Salesforce, and Gong for revenue and CRM; GitHub, Jira, and Linear for engineering and product; Google Drive, Notion, and Confluence for docs and knowledge; and Zendesk and Intercom for support. The more sources customers connect, the richer OM1 gets and the better Coworker's outputs become. Pricing. Coworker offers a self-serve plan with usage-based pricing, plus team and enterprise tiers for larger deployments. See coworker.ai for current pricing. Security and Compliance. Coworker is SOC 2 Type 2, CASA Tier 2, and GDPR compliant, independently audited across 193 tests and 20 controls. Customer data is partitioned at the network level and Coworker does not train models on customer data. The platform respects the underlying permissions of every connected app, so users only see what they already have access to in the source system. Admins can whitelist non-sensitive data to specific groups when it makes sense to break down silos. Why Customers Choose Coworker. About 82% lower cost per task than direct frontier model consumption, roughly 5x more inference for the same monthly AI spend, persistent organizational memory across all models, self-serve onboarding with value in about a minute, per-task cost visibility, SOC 2 Type 2, CASA Tier 2, and GDPR compliance, and works alongside existing tools with no migrations required.

Average Rating: 4.9/5.0

Total Reviews: 11

Who Is the Company Behind Coworker?

  • Seller: Coworker.ai
  • Company Website:
  • Year Founded: 2024
  • HQ Location: San Francisco, US
  • Twitter: @coworkerapp
    497 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    30 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 64% Medium, 36% Small

What Are Recent G2 Reviews of Coworker?

Workvivo

Workvivo HQ gives Comms, HR, and IT teams an AI-powered employee experience no traditional intranet can match. With HQ Agent helping every employee find trusted answers and take action in seconds, and Seer turning employee feedback and sentiment into actionable intelligence, Workvivo is the missing link in your AI transformation strategy, driving adoption by making AI useful, accessible, and engaging for every employee. HQ Agent brings conversational and agentic AI into the daily flow of work. Employees can ask questions in natural language, receive concise answers grounded in trusted company sources, search across connected workplace content, and complete everyday tasks without navigating multiple systems. AI-powered summaries, enterprise search, federated knowledge, third-party data connections, and governance controls help organizations make workplace AI useful, secure, and accessible to every employee. AI is also embedded across internal communications and employee engagement. AI Compose helps teams create, personalize, translate, and optimize content, while Catch Me Up gives employees fast, relevant summaries of important updates. AI Podcasts and automated Employee Journeys help organizations deliver more engaging communications and guide employees through key moments such as onboarding, role changes, and promotions. Seer uses AI to transform employee listening into action. It brings together surveys, sentiment analysis, AI-powered comment analysis, engagement data, benchmarking, and workforce insights so leaders can understand what employees need, identify emerging issues, and respond faster. This connects employee voice directly to better communication, engagement, and business decisions. Built for frontline, hybrid, remote, and desk-based workforces, Workvivo acts as the AI-powered digital front door to work. Employees can access company news, conversations, recognition, documents, knowledge, workplace services, and essential tools through one intuitive experience across mobile, desktop, and digital signage—helping organizations drive AI adoption across the entire workforce, not just desk-based teams. Workvivo integrates with the technology organizations already use, including Microsoft 365, Google Workspace, Zoom, Workday, ServiceNow, Salesforce, SAP, Slack, Jira, Okta, and leading HRIS platforms. Trusted by global organizations including Amazon, Ryanair, Bupa, White Castle, and Motherson, Workvivo by Zoom is recognized by customers and industry analysts as a leader in employee engagement, intranet, and internal communications.

Average Rating: 4.8/5.0

Total Reviews: 2,643

Who Is the Company Behind Workvivo?

  • Seller: Zoom
  • Company Website:
  • Year Founded: 2011
  • HQ Location: San Jose, CA
  • Twitter: @zoom
    1,042,714 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    14,013 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: SPS Associate, Software Engineer
  • Top Industries: Consumer Services, Information Technology and Services
  • Company Size: 57% Large, 29% Medium

What Do G2 Reviewers Say About Workvivo?

AI-generated summary from verified user reviews

Pros
  • Users find Workvivo's intuitive interface easy to use, enhancing engagement and fostering a vibrant workplace culture.
  • Users value the engaging environment of Workvivo, fostering personal connections and enhancing teamwork through shared experiences.
  • Users appreciate the employee engagement fostered by Workvivo, enhancing connections through shared achievements and personal stories.
  • Users value the effective communication of Workvivo, fostering unity and engagement within teams, especially remote employees.
  • Users value the peer recognition feature of Workvivo, enhancing connections and celebrating both professional and personal achievements.
Cons
  • Users experience slow loading times, with mobile apps hanging and impacting overall platform usability.
  • Users experience a lack of notifications, finding the system inconsistent and missing important alerts for relevant updates.
  • Users are frustrated by notification issues that overwhelm important updates and lack departmental filtering options.
  • Users find the user interface not friendly, citing frustrations with the feed and lack of visibility in likes.
  • Users struggle with excessive notifications, often missing important updates and finding it hard to stay informed.

What Are Recent G2 Reviews of Workvivo?

What Are G2 Users Discussing About Workvivo?

Enjo

Enjo is an AI support agent that resolves employee and customer service requests end to end, including requests that require reading from or updating connected systems. Enjo Platform is the operating environment built around the agent: an AI helpdesk with an AI shared inbox for human agents, an AI knowledge base, a self-serve Help Center, automation tools, governance controls, and analytics. Enjo works in Slack, Microsoft Teams, website chat, a Help Center portal, and Slack Connect shared channels, and is used for AI ITSM and employee support in IT and HR as well as for AI customer service. Enjo is configured agent-first. The AI support agent is set up to resolve support work before a ticket queue is configured for human escalations, reversing the usual order of implementing a helpdesk and adding AI afterward. Enjo handles informational requests and transactional ones such as access requests, password resets, order status, and approvals. Every answer is grounded in the knowledge and memory the customer configures, with a citation on every response and synthesis data showing how the agent reached its answer. When confidence is low or risk is high, Enjo escalates with the full conversation, account context, and suggested next steps. Enjo has a free plan that includes generous AI credits, unlimited human agent seats, unlimited AI agents, unlimited channels, and access to the shared Inbox, Help Center, and Insights. No credit card is required, and pricing scales with AI usage rather than headcount. Same-day go-live is achievable: Aptean deployed Enjo to an initial cohort in a single day. AI support agent: end-to-end resolution in Slack, Microsoft Teams, website chat, and Help Center, with guardrails, personas, bulk testing before launch, and a playground for prompts and policies. AI helpdesk and AI shared inbox: escalation workspace with workload management, SLAs, saved views, ticket sync, office hours, and Agent Assist for summaries, reply suggestions, sentiment, and translation. AI knowledge base and Help Center: one knowledge layer across Confluence, SharePoint, Google Drive, Notion, Guru, past tickets, websites, and uploaded files, plus a requester-facing Help Center with AI search, multilingual content, SEO controls, and article generation from a website URL, connected docs, or ticket patterns. AI Actions and AI Flows: retrieve data and run operations in connected systems including Okta, Jira, and Salesforce, with multi-step orchestration, approvals, and fallbacks. Insights and governance: resolution, deflection, CSAT, and ROI reporting, with guardrails, audit logs, and role-based access control. Documented results include 63% autonomous resolution at Aurora, 30% deflection and 80% faster response at Delivery Hero, 120 agents equivalent volume and 200,000 requests accelerated per year at Aptean, and HR response times reduced from two to three days to minutes at Kraken. Enjo is backed by 600+ enterprise deployments, 99.9% uptime over seven years, and SOC 2 Type II, ISO 27001, and GDPR compliance.

Average Rating: 4.8/5.0

Total Reviews: 5

Who Is the Company Behind Enjo?

Who Uses This Product?

  • Company Size: 60% Small, 20% Medium

What Do G2 Reviewers Say About Enjo?

AI-generated summary from verified user reviews

Pros
  • Users value the bot creation feature of Enjo for its effectiveness in automating support processes seamlessly.
  • Users benefit from the AI-powered assistance in resolving requests effectively and efficiently through Enjo's chatbot development.
  • Users find Enjo to be very helpful in daily office tasks, enhancing their productivity and efficiency.
  • Users admire the seamless integrations of Enjo, enhancing workflow efficiency and productivity across their operations.
  • Users appreciate the messaging automation of Enjo, streamlining communication and enhancing overall support efficiency.
Cons
  • Users often experience software bugs and lag issues with Enjo, affecting their overall satisfaction and usability.
  • Users often experience interface bugs with Enjo, leading to a frustrating and inconsistent user experience.
  • Users experience slow loading, facing bugs and lag issues that hinder their overall enjoyment of Enjo.

What Are Recent G2 Reviews of Enjo?

Actioneer

Actioneer is an enterprise agentic AI platform built for BFSI, fintech, healthcare, and retail companies that need AI outputs they can trust, trace, and act on. At its core is a shared context layer that grounds every agent, every query, and every automated workflow in verified data rather than inference. Actioneer connects to existing data stacks via 700+ pre-built connectors and delivers governed, measurable business outcomes without requiring teams to rebuild their data infrastructure first. What makes Actioneer technically different Most enterprise AI deployments produce inconsistent outputs because every agent reasons from scratch. Actioneer solves this through three architectural layers that work together. The shared context layer encodes what your business terms actually mean: which definition of churn applies, which data source is authoritative for revenue, how your segment logic is constructed, and which version of a metric is current. Every AI agent in your organisation draws from one source of verified metrics, business facts, and workflow logic. When the same question is asked by a VP Revenue, an analyst, and an automated agent, it returns the same grounded answer, not three plausible ones. The text-to-SQL engine translates natural language business questions into verified, auditable SQL against your actual schema. Every query is transparent: the SQL is shown, the source is cited, and the result is traceable to the exact data that produced it. Actioneer ranked first on DABstep, the most rigorously graded public benchmark for multi-step financial data reasoning, at 95.8% accuracy ahead of Nvidia, Microsoft Copilot, and Google DS-Star. On KramaBench (MIT, 104 tasks), Actioneer achieved 78.8% accuracy at approximately 40% lower cost per correct answer than the next-ranked system. This is not demo-grade accuracy. It is production-grade accuracy on the kind of multi-source, multi-step queries that break single-model systems. Per-entity context profiles extend this grounding to real-time and voice AI applications. Before a customer call starts, Actioneer assembles a per-customer record from prior interactions, open issues, and behavioural signals from past conversations, structured to be read in a single low-latency pass rather than queried live across multiple systems. For BFSI voice agents handling collections, servicing, or onboarding calls, this means the agent already knows who it is talking to before the borrower says a word. Post-call transcripts are reprocessed and fed back into the context store automatically, so each successive interaction is measurably better informed than the last. Built for industries where accuracy is not optional For banking, NBFCs, insurance, and regulated fintech, Actioneer supports on-premise deployment, role-based access controls, and audit-ready query transparency so AI adoption does not create compliance exposure. The same governed architecture applies to healthcare and retail deployments, meaning every AI output can be reviewed, explained, and defended to internal and external stakeholders. Actioneer is aligned with RBI cloud outsourcing guidelines and India's DPDP Act requirements. It is also aligned with European and American data localization standards Outcomes teams actually measure Actioneer clients have reported 15% revenue uplift through AI-identified cross-sell opportunities, experiment cycle times reduced from months to days, and significant cost savings from automating workflows that previously required manual analyst intervention. Use cases span dynamic customer segmentation, autonomous campaign monitoring, churn prediction, per-entity voice AI memory for contact centre applications, and real-time anomaly detection across the revenue stack. Where Actioneer wins head-to-head Unlike pure SaaS analytics platforms or general-purpose LLM wrappers, Actioneer combines a production-grade platform - scopes each deployment to a specific business outcome, runs weekly check-ins, and takes accountability for results. Teams do not need to become AI experts to see value. Compared to internal builds, Actioneer removes the 6 to 12 month engineering lag, the governance risk, and the dependency on scarce ML talent, delivering production-grade AI agents in weeks, not quarters.

Average Rating: 4.5/5.0

Total Reviews: 2

Who Is the Company Behind Actioneer?

  • Seller: Actioneer
  • Year Founded: 2025
  • HQ Location: Mountain View, US
  • LinkedIn® Page: www.linkedin.com
    27 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Are Recent G2 Reviews of Actioneer?

Gemini AI

Gemini AI is an advanced artificial intelligence platform designed to enhance business operations through intelligent automation and data-driven insights. By leveraging cutting-edge machine learning algorithms, Gemini AI enables organizations to streamline processes, improve decision-making, and drive innovation across various industries. Key Features and Functionality: - Intelligent Automation: Automates repetitive tasks, reducing manual effort and increasing operational efficiency. - Data Analysis and Insights: Processes large datasets to uncover patterns and provide actionable insights for strategic planning. - Natural Language Processing (NLP): Understands and interprets human language, facilitating improved customer interactions and support. - Predictive Analytics: Forecasts trends and outcomes, aiding in proactive decision-making and risk management. - Customizable Solutions: Offers tailored AI models to meet specific business needs and objectives. Primary Value and Problem Solved: Gemini AI addresses the challenge of managing complex and voluminous data by providing tools that automate analysis and generate meaningful insights. This empowers businesses to make informed decisions, optimize operations, and stay competitive in a rapidly evolving market. By integrating Gemini AI, organizations can enhance productivity, reduce costs, and foster innovation through intelligent automation and data-driven strategies.

Average Rating: 4.8/5.0

Total Reviews: 2

Who Is the Company Behind Gemini AI?

Who Uses This Product?

  • Company Size: 50% Large, 50% Medium

What Are Recent G2 Reviews of Gemini AI?

Kimi

1. Kimi Reviews & Product Details Kimi K3 is Moonshot AI's most capable open-source model, with 2.8T parameters and a 1M context built for real enterprise workloads — from long-horizon reasoning to complex problem-solving. Empowered by a versatile ecosystem of plugins, it slots directly into your team's workflows and takes complex tasks end to end: coding, deep research grounded in reliable data sources, presentation decks and files — all delivered with professionalism and agency-level aesthetics. 2. Key Features and Functionality: - Enterprise-Ready by Default: Built with strict data isolation to safeguard your corporate assets and intellectual property. Coupled with streamlined procurement—one contract, one invoice, seamlessly empowering every team. - Professional Data Plugins and Skills: With professional data sources and multiple expert skills covering equity research, investment banking & PE, and corporate finance, deliver low-hallucination analysis. - Kimi Work — Your Digital Employees: Goal mode takes a target and drives it to delivery; Agent Swarm coordinates up to 300 sub-agents on a single objective. Outputs arrive as finished work: Word documents, Excel models, slide decks, live dashboards, and web apps. - Long-Horizon Agentic Execution: K3 sustains deep reasoning over extended workflows, autonomously planning, researching, and iterating to drive complex projects from start to finish. - Design-Grade Frontend Output: K3 brings agency-level aesthetics to everyday business deliverables - from landing pages to dashboards - all come out visually polished and on-brand. Teams get production-ready interfaces from one prompt. 3. Primary Value and User Solutions: Kimi gives enterprise teams a single AI platform that takes complex work from request to delivery. Long-horizon reasoning handles multi-hour coding, deep research, and financial analysis, while Kimi Work turns that capability into finished work products, grounded by professional data plugins. Kimi covering engineering, research, finance, and content replaces a patchwork of vertical tools — with no training on customer data, unified procurement and invoicing, and flagship-level performance at a fraction of the typical cost.

Average Rating: 4.0/5.0

Total Reviews: 3

Who Is the Company Behind Kimi?

Who Uses This Product?

  • Company Size: 67% Small, 33% Large

What Are Recent G2 Reviews of Kimi?

Workday Extend

Workday Extend unlocks the Workday Build platform, giving developer and IT teams an end-to-end toolkit to build, run, and scale custom agents, apps, and orchestrations. It force multiplies your builders using natural language in preferred agentic IDEs—including Claude Code, Cursor, and Google Antigravity—allowing teams to build in plain language at the speed of thought without sacrificing compliance or control. By combining agentic acceleration with built-in enterprise guardrails, custom agents execute on the Workday Trusted Agent Platform. They operate natively with live enterprise context, automatically inheriting Workday security permissions, business process controls, human-in-the-loop approvals, and complete audit trails via the Workday Agent System of Record. Furthermore, Agent-Ready Tools connect Workday data and actions to any agent surface via open Model Context Protocol (MCP) standards and Pipedream connectors. This allows organizations to safely deploy AI at scale, connecting Workday context and powering agents across the enterprise without duplicating security models or managing disconnected tools.

Average Rating: 4.5/5.0

Total Reviews: 15

Who Is the Company Behind Workday Extend?

  • Seller: Workday
  • Year Founded: 2005
  • HQ Location: Pleasanton, CA
  • Twitter: @Workday
    52,273 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    25,204 employees on LinkedIn®
  • Ownership: NYSE:WDAY

Who Uses This Product?

  • Company Size: 53% Large, 40% Medium

What Are Recent G2 Reviews of Workday Extend?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated June 4, 2026