Best Enterprise AI Agent Builders Software

How Many AI Agent Builders Software Products Does G2 Track?

Total Products under this Category: 781

Category Stats (Oct 2026)

  • Average Rating: 4.63/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Agentplace (+14.97%) - Among all products in this category, Agentplace recorded the largest rating increase compared to last month

Last updated: October 26, 2026

How Does G2 Rank AI Agent Builders Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 92,400+ Authentic Reviews
  • 781+ 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 AI Agent Builders Software

G2 Grid® for AI Agent Builders Software plotting products by satisfaction and market presence

Highlighted products: Salesforce Agentforce, UiPath Agentic Automation, ServiceNow AI Agents, Asana, OutSystems, Databricks, Gemini platform, and AWS Bedrock.

Underlying data: [Grid® JSON](https://www.g2.com/categories/ai-agent-builders/grids.json?focus%5B%5D=salesforce-agentforce&focus%5B%5D=uipath-agentic-automation&focus%5B%5D=servicenow-ai-agents&focus%5B%5D=asana&focus%5B%5D=outsystems&focus%5B%5D=databricks&focus%5B%5D=gemini-platform&focus%5B%5D=aws-bedrock&segment=enterprise)

Salesforce Agentforce

Salesforce Agentforce is an enterprise agentic AI software platform that helps organizations build, deploy, manage, and govern AI agents that can autonomously assist customers, employees, and partners across digital and voice channels. Agentforce is designed for enterprises that want to operationalize AI agents at scale while maintaining control, security, and trust. It brings together humans, applications, AI models, and business data into a unified system where agents can reason, take action, and collaborate with people. The platform supports the full agent lifecycle—from creation and testing to deployment, supervision, and continuous improvement—using both low-code and pro-code tools. Agentforce is used by teams across customer service, sales, IT, operations, HR, marketing, and industry-specific workflows. Agentforce enables organizations to deploy AI agents that work continuously, execute business logic, and integrate with existing systems. Agents can handle structured and unstructured data, reason through complex tasks, and hand off to humans when needed. Key capabilities and components include: - Agent development and orchestration tools that support building, testing, deploying, supervising, and scaling AI agents using conversational, low-code, and pro-code experiences. - Hybrid reasoning architecture that combines deterministic workflows with large language model (LLM) reasoning to ensure predictable execution while handling nuance and natural language interactions. - Multichannel and voice support, allowing agents to engage users across web, mobile, chat, and phone with consistent behavior and brand-aligned voice experiences. - Intelligent Context processing, which extracts and structures information from unstructured and multimodal data sources so agents can respond accurately and take relevant actions. - Lifecycle management and supervision, including batch testing, performance monitoring, and tools to refine agent behavior over time. Agentforce includes built-in trust, governance, and security features to support enterprise requirements: - Configurable guardrails to reduce hallucinations, bias, and off-topic responses. - Data protection and governance controls such as grounding, access controls, auditability, and privacy safeguards. - Enterprise-grade reliability and compliance, built on the broader Salesforce platform. Common use cases include customer support automation, sales development, employee support, deep research tasks, coaching and learning, product recommendations, appointment scheduling, and event or attendee support. Agentforce can also be tailored for industry-specific workflows by leveraging existing data models, APIs, and business logic. Overall, Salesforce Agentforce is an enterprise agentic AI platform for organizations seeking to deploy trusted, autonomous digital labor that integrates with their existing systems and operates at scale.

Average Rating: 4.3/5.0

Total Reviews: 1,599

Who Is the Company Behind Salesforce Agentforce?

  • 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: Salesforce Developer, Salesforce Administrator
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 39% Medium, 32% Large

What Are Recent G2 Reviews of Salesforce Agentforce?

UiPath Agentic Automation

UiPath (NYSE: PATH) is a global leader in agentic automation, empowering enterprises to harness the full potential of AI agents to autonomously execute and optimize complex business processes. The UiPath Platform™ uniquely combines controlled agency, developer flexibility, and seamless integration to help organizations scale agentic automation safely and confidently. Committed to security, governance, and interoperability, UiPath supports enterprises as they transition into a future where automation delivers on the full potential of AI to transform industries. For more information, visit www.uipath.com. Agentic testing is an AI-powered approach to software quality assurance that leverages autonomous agents to generate, execute, and evolve tests across the entire testing lifecycle. By partnering intelligent agents with human testers, agentic testing dramatically increases test coverage, accelerates release cycles, improves system resilience, and enables continuous testing at enterprise scale. It empowers teams to shift from manual, reactive testing to proactive, scalable quality engineering—driving faster innovation with higher confidence.

Average Rating: 4.6/5.0

Total Reviews: 6,269

Who Is the Company Behind UiPath Agentic Automation?

  • Seller: UiPath
  • Company Website:
  • Year Founded: 2005
  • HQ Location: New York
  • Twitter: @UiPath
    108,104 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5,142 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: RPA Developer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 51% Large, 28% Medium

What Do G2 Reviewers Say About UiPath Agentic Automation?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the advanced AI capabilities of UiPath Agentic Automation, enhancing adaptability and seamless workflow integration.
  • Users appreciate the ease of use of UiPath Agentic Automation, making it simple for developers to integrate and automate tasks.
  • Users value the seamless integration of AI with automation in UiPath Agentic Automation for handling complex tasks.
  • Users commend the automation ease of UiPath Agentic Automation, benefiting from its advanced AI capabilities and orchestration.
  • Users value the efficiency of UiPath Agentic Automation, enjoying streamlined automation solutions that save time and effort.
Cons
  • Users find the product expensive, with high licensing costs compared to other RPA tools, impacting overall value.
  • Users find the learning curve challenging, especially with agent training and required programming knowledge for non-tech individuals.
  • Users find the complexity of UiPath Agentic Automation overwhelming, especially when navigating advanced features and setups.
  • Users feel that the pricing issues of UiPath Agentic Automation are too high, affecting repurchase decisions.
  • Users find the licensing issues confusing, making initial setup and advanced feature access challenging for newcomers.

What Are Recent G2 Reviews of UiPath Agentic Automation?

What Are G2 Users Discussing About UiPath Agentic Automation?

ServiceNow AI Agents

ServiceNow AI Agents act autonomously to get work done across IT, HR, customer service, app development, and every corner of your business. They proactively solve problems, drive exponential productivity, and handle everything from routine tasks to complex, multi-step processes. Built on a unified, open platform that combines AI, data, workflows, and security, ServiceNow AI Agents have real-time access to enterprise data from 350+ systems. Grounded in your business context, rules, and knowledge, they don't just recommend next steps. They execute work across any system in your enterprise, governed by your policies at every step. Choose from out-of-the-box AI agents or build custom ones with AI Agent Studio using natural language. Set guardrails, automate workflows, and deploy AI with governance and security built in from day one. Users can talk, chat, or use voice with ServiceNow Otto, their AI assistant for work, to make requests and get work done. ServiceNow Otto then routes the request to the right AI agent or specialist, and hands back the result. AI specialists are AI agents that execute entire job functions end to end, like an IT specialist or HR generalist. For over 20 years, ServiceNow has powered work for the world's leading companies. 90% of the Fortune 500 trust ServiceNow, powering 100 billion workflows annually and over 100,000 AI use cases. Put AI to work for your people with ServiceNow.

Average Rating: 4.3/5.0

Total Reviews: 469

Who Is the Company Behind ServiceNow AI Agents?

  • 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: Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 35% Large, 18% Medium

What Do G2 Reviewers Say About ServiceNow AI Agents?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the efficiency of ServiceNow AI Agents, streamlining workflows and enhancing productivity with automated tasks.
  • Users appreciate the ease of use of ServiceNow AI Agents, simplifying tasks and enabling quick adaptation for everyone.
  • Users value the automation of repetitive tasks by ServiceNow AI Agents, enhancing workflow efficiency and productivity.
  • Users value the easy integrations of ServiceNow AI Agents, enhancing workflows and automating tasks for efficiency.
  • Users value the effective automation of tasks by ServiceNow AI Agents, enhancing efficiency and support 24/7.
Cons
  • Users frequently encounter inaccurate responses from ServiceNow AI Agents, particularly when data setups are insufficient or poorly defined.
  • Users face challenges with poor understanding as AI responses often lack nuance and can be inaccurate without proper setup.
  • Users find the configuration challenging and time-consuming, often requiring advanced skills for optimal setup and customization.
  • Users experience limited AI flexibility, requiring significant time and effort for customization and setup in unique environments.
  • Users find the steep learning curve during initial setup of ServiceNow AI Agents challenging and time-consuming.

What Are Recent G2 Reviews of ServiceNow AI Agents?

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Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value.

Average Rating: 4.6/5.0

Total Reviews: 1,362

Who Is the Company Behind Databricks?

  • Seller: Databricks Inc.
  • Company Website:
  • Year Founded: 2013
  • HQ Location: San Francisco, CA
  • Twitter: @databricks
    92,269 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    14,336 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 47% Large, 38% Medium

What Do G2 Reviewers Say About Databricks?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the ease of use and extensive features of Databricks, streamlining data warehousing and machine learning tasks.
  • Users appreciate the ease of use of Databricks, enhancing their experience with its intuitive interface and efficient features.
  • Users value the seamless integrations with AWS services that enhance efficiency and support diverse business needs.
  • Users value the seamless collaboration provided by Databricks, enhancing teamwork on data projects and insights sharing.
  • Users value the wide array of integrated analytical features in Databricks, enhancing efficiency and collaboration in data projects.
Cons
  • Users face a steep learning curve with Databricks, as its complexity can be confusing for newcomers.
  • Users note that the cost of Databricks can be quite high, particularly for large data projects and limited free options.
  • Users find the steep learning curve of Databricks challenging, particularly for those unfamiliar with big data tools.
  • Users find the complexity of Databricks challenging, especially during initial setup and navigation of advanced features.
  • Users encounter complex setup challenges with Databricks initially, but support helps resolve issues quickly.

What Are Recent G2 Reviews of Databricks?

What Are G2 Users Discussing About Databricks?

Asana

Asana is a leading work management platform for human + AI collaboration. Over 170,000 customers like Accenture, Amazon, Anthropic, and Suzuki rely on Asana to align teams and accelerate organizational impact. Whether it’s managing strategic initiatives, cross-functional programs, or company-wide goals, Asana helps organizations bring clarity to complexity—turning plans into action with AI working alongside teams every step of the way. To learn more, visit www.asana.com.

Average Rating: 4.4/5.0

Total Reviews: 13,467

Who Is the Company Behind Asana?

  • Seller: Asana
  • Company Website:
  • Year Founded: 2008
  • HQ Location: San Francisco, CA
  • Twitter: @Asana
    119,913 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,427 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Project Manager, Owner
  • Top Industries: Marketing and Advertising, Information Technology and Services
  • Company Size: 57% Small, 31% Medium

What Do G2 Reviewers Say About Asana?

AI-generated summary from verified user reviews

Pros
  • Users find Asana to have a user-friendly interface, making it simple to manage tasks and collaborate effectively.
  • Users appreciate Asana for its effective task management, enhancing productivity and collaboration across teams and projects.
  • Users value the workflow features of Asana, enhancing teamwork and project organization with flexible task management options.
  • Users appreciate the workflow features in Asana, facilitating team connectivity and enhancing project management efficiency.
  • Users value the user-friendly task tracking in Asana, enhancing organization and efficiency in managing deliverables.
Cons
  • Users struggle with the steep learning curve of Asana, finding it messy and difficult to manage tasks effectively.
  • Users experience a lack of essential features, including time tracking and project setup capabilities, hindering usability.
  • Users note the limited features in Asana, particularly with powerful tools locked behind higher pricing tiers.
  • Users find the UI not intuitive, with a clunky design that complicates navigation and task management.
  • Users find the search functionality lacking, making it difficult to efficiently locate projects and tasks.

What Are Recent G2 Reviews of Asana?

What Are G2 Users Discussing About Asana?

Gemini platform

Google Cloud's comprehensive platform for developers to build, scale, govern and optimize agents and models. It's a single destination for technical teams to build agents that can transform enterprise applications and workflows into powerful agentic systems.

Average Rating: 4.3/5.0

Total Reviews: 730

Who Is the Company Behind Gemini platform?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

Who Uses This Product?

  • Who Uses This: Software Engineer, Data Scientist
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 42% Small, 29% Large

What Do G2 Reviewers Say About Gemini platform?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of the Gemini Enterprise Agent Platform, highlighting its beginner-friendly interface and intuitive design.
  • Users appreciate the multimodal capabilities of Gemini, enhancing productivity by understanding text, images, code, and documents together.
  • Users value the multimodal capabilities of Gemini, enhancing productivity in software development and automation projects.
  • Users value the multimodal capabilities of Gemini, enhancing productivity in software development and automation projects.
  • Users value the integrated platform of Gemini, enhancing productivity by combining various functionalities in a unified system.
Cons
  • Users find the platform expensive, especially when considering resource usage and challenging documentation.
  • Users find the complex pricing structure of Gemini Enterprise Agent Platform confusing and difficult to navigate.
  • Users find the learning curve steep with Gemini Enterprise Agent Platform, due to its numerous complex components and configurations.
  • Users find the complex pricing structure of Gemini Enterprise Agent challenging and suggest simplifying it for clarity.
  • Users find the difficult learning curve of Gemini Enterprise Agent Platform overwhelming, especially with advanced features and integrations.

What Are Recent G2 Reviews of Gemini platform?

What Are G2 Users Discussing About Gemini platform?

OutSystems

What if you could build custom, AI-powered solutions that fit your business perfectly, without the risk or costly lock-in? The OutSystems AI-powered low-code development platform eliminates the compromises of building and buying, enabling your teams to turn ideas into mission-critical applications and agents that drive revenue, efficiency, and customer impact. By combining a trusted low-code foundation with powerful AI capabilities, you can build custom solutions up to 10x faster, with the speed of innovation and control you need to compete in the AI-centric future.

Average Rating: 4.5/5.0

Total Reviews: 1,632

Who Is the Company Behind OutSystems?

  • Seller: OutSystems
  • Company Website:
  • Year Founded: 2001
  • HQ Location: Boston, MA
  • Twitter: @OutSystems
    25,276 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,239 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Developer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 40% Medium, 36% Large

What Do G2 Reviewers Say About OutSystems?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in OutSystems, making development and implementation quick and straightforward.
  • Users value the speed of development with OutSystems, enabling rapid app creation and seamless integration.
  • Users praise the fast development capabilities of OutSystems, enabling quick app deployment and easy learning.
  • Users value the fast application development with OutSystems, enabling quick project turnaround and efficient workflows.
  • Users value the speed and ease of app development with OutSystems, enabling rapid creation without extensive coding knowledge.
Cons
  • Users note the high licensing costs of OutSystems, suggesting a need for more affordable options and better integrations.
  • Users express concern over the high licensing costs and limited customization options of OutSystems.
  • Users express concern over high licensing costs and restrictions on customization, leading to vendor lock-in issues.
  • Users often find missing features in OutSystems, wishing for more options in UX/UI and frontend development.
  • Users note the limited customization options in OutSystems, hindering their ability to build highly specific applications.

What Are Recent G2 Reviews of OutSystems?

What Are G2 Users Discussing About OutSystems?

AWS Bedrock

Amazon Bedrock is a fully managed service that enables organizations to build and scale generative AI applications using foundation models (FMs) from leading AI companies and Amazon. It provides a unified API to access a diverse selection of high-performing FMs, allowing users to experiment, customize, and deploy AI solutions without managing infrastructure. With Amazon Bedrock, businesses can create personalized experiences, automate workflows, and derive actionable insights, all while maintaining security, privacy, and compliance standards. Key Features and Functionality: - Model Choice: Access a wide range of FMs from top AI providers, enabling selection of the most suitable model for specific use cases. - Agent Development: Utilize Amazon Bedrock AgentCore to build, deploy, and operate AI agents securely at scale, facilitating complex task automation. - Customization: Tailor models with proprietary data using tools like Knowledge Bases, Data Automation, prompt engineering, and fine-tuning to enhance relevance and accuracy. - Safety and Guardrails: Implement safeguards with Bedrock Guardrails to filter harmful content and ensure responsible AI usage, supporting compliance with industry standards. - Cost Optimization: Optimize performance and expenses through features like Model Distillation and Intelligent Prompt Routing, balancing cost, latency, and accuracy. Primary Value and Solutions Provided: Amazon Bedrock empowers organizations to rapidly develop and deploy generative AI applications without the complexities of infrastructure management. By offering a diverse selection of foundation models and comprehensive customization tools, it enables businesses to create AI solutions tailored to their unique needs. The platform's robust security measures and compliance support ensure that applications are built responsibly, addressing concerns around data privacy and ethical AI usage. Ultimately, Amazon Bedrock facilitates innovation, enhances operational efficiency, and drives real business impact through scalable and secure AI integration.

Average Rating: 4.4/5.0

Total Reviews: 78

Who Is the Company Behind AWS Bedrock?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    148,266 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 47% Large, 31% Medium

What Do G2 Reviewers Say About AWS Bedrock?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of AWS Bedrock, appreciating seamless model switching and serverless capabilities.
  • Users appreciate the variety of models in AWS Bedrock, facilitating tailored solutions for diverse use cases.
  • Users appreciate the easy integrations of AWS Bedrock, ensuring a seamless experience within the AWS ecosystem.
  • Users find AWS Bedrock's easy-to-use generative AI tools and powerful foundation models highly inspiring for production.
  • Users appreciate the unified API and integrations of AWS Bedrock, making it easy to switch models and connect applications.
Cons
  • Users find AWS Bedrock to be expensive for large-scale operations and challenging for beginners to set up.
  • Users find AWS Bedrock's complexity issues challenging, especially for newcomers and niche applications, limiting flexibility.
  • Users express concern over model issues, particularly regarding pricing, availability, and limitations on token usage.
  • Users find the steep learning curve of AWS Bedrock challenging, especially for newcomers to the AWS ecosystem.
  • Users face limited access to foundation models in AWS Bedrock, hindering customization and regional availability.

What Are Recent G2 Reviews of AWS Bedrock?

Workato

Workato is the #1-rated iPaaS and the leader in Enterprise MCP — the platform enterprises trust to unify integration, automation, and AI in one secure, cloud-native runtime. Trusted by over 12,000 customers including half the Fortune 500, Workato connects every system, process, and data source with 14,000+ pre-built connectors. What sets Workato apart: Enterprise MCP turns proven business processes into governed, agent-ready skills that any AI agent — Claude, ChatGPT, Cursor, or custom-built — can execute safely and predictably. No rip-and-replace required. Whether modernizing legacy integrations or deploying agentic AI at scale, Workato delivers the orchestration, governance, and trust needed in the enterprise.

Average Rating: 4.7/5.0

Total Reviews: 827

Who Is the Company Behind Workato?

  • Seller: Workato
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Mountain View, California
  • Twitter: @Workato
    3,641 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,466 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 41% Medium, 34% Large

What Do G2 Reviewers Say About Workato?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Workato, enabling quick automation without needing technical expertise.
  • Users love the easy integrations with Workato, allowing quick automation of tools like Salesforce and Slack.
  • Users love how Workato's easy integrations simplify automation, saving them hours and making processes seamless.
  • Users value the user-friendly and low-code interface of Workato, making business process automation seamless and efficient.
  • Users appreciate the ease of automation with Workato, enabling seamless integrations and saving significant time on repetitive tasks.
Cons
  • Users often find the complexity of Workato overwhelming, particularly regarding pricing and onboarding, leading to confusion.
  • Users find the learning curve steep, with complexity and confusion hindering smooth onboarding and workflow management.
  • Users are frustrated by data limitations in Workato, impacting email sends, job reporting, and large file transfers.
  • Users find the missing features in Workato's connector library limit their integration capabilities with lesser-known applications.
  • Users find the steep learning curve of Workato daunting, especially during onboarding and initial usage.

What Are Recent G2 Reviews of Workato?

What Are G2 Users Discussing About Workato?

Glean

Glean is an enterprise AI platform that brings together AI assistants, AI agents, and enterprise search to help employees find answers, create content, and automate work. Grounded in your company’s knowledge, Glean Assistant answers questions, summarizes information, and drafts content, while Glean Agents enables teams to build and deploy AI agents that execute multi-step workflows across business applications. With 275+ out-of-the-box connectors, Glean connects information across workplace tools and delivers personalized AI that respects existing access permissions. Enterprise-grade security and governance help organizations scale AI across teams—turning company knowledge into answers, content, and action.

Average Rating: 4.7/5.0

Total Reviews: 331

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, 39% 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 find Glean to be intuitive and easy to use, enhancing their workflow and efficiency significantly.
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?

IBM watsonx Orchestrate

IBM® watsonx Orchestrate® puts AI to work for automating complex workflows and processes at scale, without changing your existing systems and tools. IBM watsonx Orchestrate helps you build, deploy and manage powerful AI assistants and agents, enabling seamless collaboration between them, to create one unified user experience. It can easily integrate with your existing business systems by connecting to multiple proprietary and third-party AI models or automation tools from 100+ enterprise apps. This allows the solution to adapt to your business needs instead of forcing you to adapt to generative AI. It is built on top of watsonx, which is a generative AI solution that allows the user to access multiple foundation models while emphasizing on enterprise-grade security, governance, and compliance. The outcome? Less manual work. Faster decisions. Increased AI productivity. A more efficient business— at scale. IBM watsonx Orchestrate offers the following: - Multi-agent orchestration - Easily deploy, manage, and govern a heterogenous network of AI assistants and agents, across their lifecycle. Enable smooth collaboration amongst multiple AI assistants and agents, whether they are built in-house or from third-party vendors, for a unified user experience. Work across hybrid cloud environments while integrating with complex tech stacks, wherever they reside. Empower employees with self-service access to AI assistants and agents so that they can focus more on what matters most to them. - Low-code agent builder and pre-built agents – Quickly build and deploy custom-built or pre-built AI agents using a range of low-code to pro-code tools, designed for everyday business users as well as professional developers. Easily leverage a software development kit (SDK) that includes tools, documentation, and code samples for faster turnaround times. Accelerate your agentic automation journey with pre-built agents built for specific business domains like human resources, sales, procurement, customer service and more. - Complex business workflow and process automation optimization - Streamline essential processes and reduce manual workflows to get faster ROIs by integrating with current systems or multiple third-party models. Simplify access to several tools and leverage ready-made integrations with 100+ leading enterprise apps including those from Microsoft, Salesforce, SAP, ServiceNow, Workday and more. Key Highlights: 1. Several tools and ready-to-use integrations designed for connecting with 100+ leading enterprise apps, for faster time to value. 2. A set of pre-built agents for specific business domains (like human resources, procurement, sales and more), as well as custom agent building capabilities including a range of low-code to pro-code authoring tools, for adapting to enterprise specific needs. 3. Multi-agent orchestration to enable hassle-free collaboration between several AI assistants, agents, and applications for a unified user experience.

Average Rating: 4.4/5.0

Total Reviews: 371

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Who Is the Company Behind IBM watsonx Orchestrate?

  • 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: Software Engineer, Senior Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 41% Large, 38% Small

What Do G2 Reviewers Say About IBM watsonx Orchestrate?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of IBM Watsonx Orchestrate for building and deploying intelligent agents effortlessly.
  • Users value the easy integrations of IBM Watsonx Orchestrate, enhancing automation and simplifying marketing workflows effectively.
  • Users value the low to no code interface that makes automating tasks with IBM watsonx Orchestrate easy and efficient.
  • Users value the seamless AI integration of IBM watsonx Orchestrate, enhancing efficiency and user experience across platforms.
  • Users appreciate the seamless integrations of IBM Watsonx Orchestrate, enabling smooth workflows across various marketing platforms.
Cons
  • Users find the learning curve steep and mention limited educational resources for mastering IBM watsonx Orchestrate.
  • Users find the complexity in the learning curve to be challenging, especially when integrating with enterprise systems.
  • Users find the integration issues cumbersome, often requiring extra workflows for a seamless experience.
  • Users note the missing features in IBM watsonx Orchestrate, which hinder usability and complicate development processes.
  • Users find IBM watsonx Orchestrate to be expensive, making it less accessible for smaller firms and integrations challenging.

What Are Recent G2 Reviews of IBM watsonx Orchestrate?

What Are G2 Users Discussing About IBM watsonx Orchestrate?

Microsoft Copilot Studio

Microsoft Copilot Studio is a low-code platform designed to empower users to create and customize AI-driven agents that automate tasks and processes across various applications and services. By leveraging natural language processing and generative AI, Copilot Studio enables the development of intelligent agents capable of handling complex workflows, enhancing productivity, and streamlining operations within organizations. Key Features and Functionality: - Low-Code Development: Offers an intuitive graphical interface that allows users to build agents without extensive coding knowledge, making AI development accessible to a broader audience. - Integration with Microsoft Ecosystem: Seamlessly connects with Microsoft 365 applications, Azure services, and other platforms, enabling agents to interact with existing tools and data sources. - Customizable Agents: Users can tailor agents to specific business needs by defining custom workflows, integrating with APIs, and utilizing pre-built or custom connectors. - Multi-Channel Deployment: Agents can be deployed across various channels, including websites, mobile apps, social media platforms, and internal business applications, ensuring broad accessibility. - Advanced Analytics and Monitoring: Provides dashboards and AI-driven insights to monitor agent performance, user interactions, and effectiveness, facilitating continuous improvement. Primary Value and Solutions Provided: Microsoft Copilot Studio addresses the need for efficient automation and intelligent assistance within organizations. By enabling the creation of custom AI agents, it helps businesses: - Enhance Productivity: Automate repetitive tasks and processes, allowing employees to focus on higher-value activities. - Improve Customer Engagement: Deploy agents that provide instant support and information to customers across multiple channels, enhancing satisfaction and responsiveness. - Streamline Operations: Integrate agents with existing systems to facilitate seamless workflows and data management, reducing manual intervention and errors. - Foster Innovation: Empower teams to develop and iterate on AI solutions rapidly, promoting a culture of innovation and continuous improvement. By providing a versatile and user-friendly platform for AI agent development, Microsoft Copilot Studio enables organizations to harness the power of artificial intelligence to solve complex challenges and drive business success.

Average Rating: 4.4/5.0

Total Reviews: 160

Who Is the Company Behind Microsoft Copilot Studio?

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

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 38% Small, 32% Large

What Do G2 Reviewers Say About Microsoft Copilot Studio?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of use of Microsoft Copilot Studio, which streamlines tasks and integrates smoothly with Microsoft 365.
  • Users value the easy integrations of Microsoft Copilot Studio, facilitating seamless use with existing Microsoft tools.
  • Users appreciate the easy setup of Microsoft Copilot Studio, making it accessible even for those without technical knowledge.
  • Users value the seamless AI integration of Microsoft Copilot Studio, enhancing productivity without requiring extensive coding skills.
  • Users value the automation capabilities of Microsoft Copilot Studio, significantly enhancing productivity by streamlining repetitive tasks.
Cons
  • Users are concerned about the expensive costs of Microsoft Copilot Studio, which can accumulate quickly with usage.
  • Users face limited customization options with Microsoft Copilot Studio, hindering their ability to adapt it to their needs.
  • Users face a steep learning curve when trying to fully customize Microsoft Copilot Studio to their preferences.
  • Users report that complex workflows can be disrupted by hard quotas, leading to frustrations in high-traffic environments.
  • Users express frustration with integration issues, finding Microsoft Copilot Studio limited and overly complex for diverse needs.

What Are Recent G2 Reviews of Microsoft Copilot Studio?

What Are G2 Users Discussing About Microsoft Copilot Studio?

Langchain

LangChain is an open-source framework designed to simplify the development of applications powered by large language models (LLMs). By providing a suite of tools and abstractions, LangChain enables developers to build context-aware, reasoning applications such as chatbots, question-answering systems, and content generators. Its modular architecture allows for seamless integration with various LLMs, including those from OpenAI, Anthropic, and Cohere, facilitating the creation of sophisticated AI-driven solutions. Key Features and Functionality: - Modular Components: LangChain offers isolated modules for model input/output, prompt templates, and retrieval mechanisms, allowing developers to customize and extend functionalities as needed. - Agent Framework: The framework supports the creation of agents that can make decisions and perform tasks based on user inputs, enhancing the interactivity and utility of applications. - Memory Management: LangChain provides both short-term and long-term memory capabilities, enabling applications to maintain context over extended interactions. - Extensive Integrations: With over 1,000 integrations, LangChain allows developers to connect with various models, tools, and databases without the need to rewrite application code, ensuring flexibility and future-proofing. - Durable Runtime: Built on LangGraph’s durable runtime, LangChain ensures agents have built-in persistence, rewind capabilities, checkpointing, and support for human-in-the-loop interactions. Primary Value and Problem Solving: LangChain addresses the challenges developers face when integrating LLMs into applications by offering a structured and efficient approach to building AI-driven solutions. It streamlines the development process, reduces the complexity associated with managing interactions between various components, and provides the flexibility to adapt to evolving AI technologies. By leveraging LangChain, developers can rapidly deploy reliable and scalable AI applications that are capable of understanding and responding to complex user inputs, thereby enhancing user experiences and operational efficiency.

Average Rating: 4.5/5.0

Total Reviews: 148

Who Is the Company Behind Langchain?

Who Uses This Product?

  • Who Uses This: Student, Software Developer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 59% Small, 25% Medium

What Do G2 Reviewers Say About Langchain?

AI-generated summary from verified user reviews

Pros
  • Users commend the ease of use of Langchain, facilitating seamless integration and development of AI applications.
  • Users value the easy integrations of Langchain, facilitating seamless connections between LLMs, data, and APIs.
  • Users value the ease of use and powerful integrations of Langchain, making it accessible for various applications.
  • Users appreciate the seamless integrations of LangChain, enhancing the efficiency of AI app development and scaling.
  • Users value the customization capabilities of Langchain, enabling tailored, efficient development for complex AI applications.
Cons
  • Users find LangChain's complexity issues frustrating, as heavy abstractions hinder debugging and complicate deployment.
  • Users find Langchain's steep learning curve daunting, with complexity in integration and frequent API changes complicating usage.
  • Users often find poor documentation of LangChain to be overwhelming, making it challenging to navigate and maintain projects.
  • Users face a steep learning curve and frequent breaking changes that complicate their experience with Langchain.
  • Users criticize the software instability of Langchain, particularly due to frequent breaking changes and documentation delays.

What Are Recent G2 Reviews of Langchain?

Notion

Notion is the connected AI workspace that brings all work together in a tool that adapts to every team—with AI to find answers and automate busywork. It's one place for search, manage projects, capture notes and company knowledge, and collaborate as a team. Millions love Notion because it increases productivity, reduces tools & costs, and empowers everyone to do their best work. Unlike fragmented, rigid software, Notion connects work into one tool that’s customizable and people love to use. Now you have beautiful tools to build your life’s work.

Average Rating: 4.6/5.0

Total Reviews: 12,558

Who Is the Company Behind Notion?

  • Seller: Notion
  • Company Website:
  • Year Founded: 2016
  • HQ Location: San Francisco, California
  • Twitter: @NotionHQ
    518,653 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    7,360 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Student
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 62% Small, 24% Medium

What Do G2 Reviewers Say About Notion?

AI-generated summary from verified user reviews

Pros
  • Users find Notion's ease of use incredibly helpful, appreciating its intuitive design and straightforward collaboration features.
  • Users love Notion’s flexible organization features, making it easy to manage projects, notes, and collaborate effectively.
  • Users love the integrated AI features of Notion, enhancing productivity and simplifying content management effortlessly.
  • Users find Notion extremely useful for managing tasks, enhancing collaboration, and streamlining documentation processes effectively.
  • Users love how Notion offers powerful organization features that greatly enhance productivity and streamline workflow management.
Cons
  • Users find the learning curve steep in Notion, leading to frustration with editing and organization.
  • Users find Notion's limited features frustrating, noting a lack of depth and missing functionalities like recording and free templates.
  • Users find the learning difficulty creates navigation challenges, making formatting and advanced features less intuitive.
  • Users note several missing features in Notion, which hinder optimization and streamline their workflow effectively.
  • Users express frustration with usage limitations in Notion, highlighting challenges in setup, organization, and document drafting.

What Are Recent G2 Reviews of Notion?

Automation Anywhere Agentic Process Automation

Automation Anywhere Agentic Process Automation (APA) is an enterprise platform that orchestrates AI agents, RPA bots, APIs, documents, and human expertise as a single governed system of work. APA transforms what is possible with automation — orchestrating every instrument of work across every system, with execution grounded in process expertise, and end-to-end process governance across every agent, every step, and every decision. It turns individual capabilities into compounded business transformation. With the APA platform, you can optimize what already runs your business and expand into what has never been feasible before. What's inside the platform Process Reasoning Engine (PRE) — the decision layer. Goal-driven AI agents plan, act, adapt, and self-correct in real time as conditions change. Mozart Orchestrator — a unified composer that manages decisions, dependencies, context, and exceptions across agents, automations, documents, and APIs. AI Agent Studio — a low-code workspace for building AI agents on foundational models from Amazon Bedrock, Google Vertex AI, Azure OpenAI, OpenAI, and others. Automator AI — generative AI–powered automation development across any application, cloud or on-premises. Document Automation — processes unstructured documents at over 95% accuracy, and 5x faster with Cloud Extraction Service for large-scale extraction. Process Discovery — surfaces bottlenecks and identifies what to automate next. Automation Co-Pilot — triggers multi-step agentic workflows in natural language, inside the applications teams already use. Governance built in, not bolted on Every agent, action, and decision runs inside enterprise controls: fine-grained role-based access control (RBAC), AES-256 encryption at rest, TLS in transit, native audit logs with SIEM integration, and human-in-the-loop oversight. Automation Anywhere maintains SOC 1 Type 2, SOC 2 Type 2, ISO 27001, ISO 22301, and HITRUST certifications, and supports GDPR compliance. Proven in production 1,500+ live APA deployments, 400M+ automations run per year, and 1.8M+ unique AI agent executions across 26 global regions. Bancolombia — 1,300% ROI in the first year and a 50% increase in customer service efficiency JBS — $1M and 125,000 hours saved in IT Granite Telecom — $635,000 in monthly savings and 15,000 hours saved per month Ricoh — 500 days of operational time saved per month SoftBank Corp. — 85% reduction in recruitment hours Who it's for Enterprise operations, IT, finance, HR, customer service, and shared services teams in banking, insurance, healthcare, life sciences, manufacturing, telecommunications, and the public sector — wherever complex, cross-system work has to run reliably and be governed. Learn more at https://www.automationanywhere.com.

Average Rating: 4.5/5.0

Total Reviews: 4,164

Who Is the Company Behind Automation Anywhere Agentic Process Automation?

  • Seller: Automation Anywhere
  • Company Website:
  • Year Founded: 2003
  • HQ Location: San Jose, CA
  • Twitter: @AutomationAnywh
    55,050 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,327 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: RPA Developer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 58% Large, 23% Medium

What Do G2 Reviewers Say About Automation Anywhere Agentic Process Automation?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use in Automation Anywhere Agentic Process Automation for simplifying RPA bot creation and management.
  • Users value the ease of automating repetitive tasks with Automation Anywhere, enhancing productivity and efficiency effortlessly.
  • Users appreciate the efficiency of Automation Anywhere, highlighting its ease of use and significant impact on productivity.
  • Users value the automation ease of Automation Anywhere, enabling non-coders to effortlessly build bots and streamline tasks.
  • Users appreciate the intuitive interface of Automation Anywhere, making automation easy and enhancing overall efficiency.
Cons
  • Users find Automation Anywhere's pricing model to be expensive and complex, which can be challenging for small teams.
  • Users find the steep learning curve challenging, especially for beginners navigating advanced features and debugging workflows.
  • Users find the missing features of Automation Anywhere Agentic Process Automation frustrating, limiting their workflow capabilities.
  • Users experience software bugs causing issues like errors in automation and problems with browser extensions.
  • Users often face bot issues including complex debugging and integration challenges, affecting overall usability and performance.

What Are Recent G2 Reviews of Automation Anywhere Agentic Process Automation?

What Are G2 Users Discussing About Automation Anywhere Agentic Process Automation?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated