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Top 8 AI Agent platforms for employee support
04 Apr 202510 Mins
Narayani Iyear
Content Writer

Modern enterprise employee support needs three key capabilities: 24/7 availability, consistent service quality, and scalable operations— areas where traditional helpdesks fall short. 

AI agent platforms have emerged as the definitive solution, succeeding where earlier automation efforts fell short. These platforms allow enterprises to build AI agents that understand context, manage complex workflows autonomously, and continuously learn from each interaction.

With the progress in artificial intelligence, the market for these platforms has matured greatly. Each platform brings unique strengths to address specific enterprise needs, including IT service management, HR support, and more.

This guide provides a detailed comparison of the top 8 AI agent platforms, focusing on their key capabilities and pros and cons to help you evaluate them more effectively.

What are AI agent platforms?

An AI agent platform offers an intuitive, low-code/no-code interface for creating, deploying, and managing autonomous agents to help leverage the advanced AI capabilities that of human agency. 

These platforms combine advanced large language models for understanding natural employee queries, workflow automation engines that can execute complex multi-step processes, and enterprise integration capabilities that allow AI agents to work seamlessly with existing tools and third-party tools.

This technological foundation enables AI agents to handle everything from simple password resets to complex tasks like employee onboarding, account unlocking, system provisioning, and benefits enrollment.

Why are AI agent platforms important?

AI agent platforms democratize access to advanced AI capabilities like Agentic AI. They're creating new possibilities for using artificial intelligence to solve problems and create value.

AI agent platforms have made automation much more flexible and intelligent. Instead of just handling simple tasks, these platforms can tackle complex problems that require judgment and adaptation. For example, in customer service, AI agents can now understand customer problems, find the right solutions, and even predict issues before they happen.

These platforms have also dramatically reduced the time and effort needed to deploy AI solutions. Instead of spending months building custom integrations, organizations can now use pre-built workflows and connectors.

Another significant benefit is that AI agents enhance human capabilities. They can handle routine tasks, gather and analyze information, and suggest solutions, letting your employees focus on more creative and strategic work.

8 best AI agent platforms to build your own agents for employee support in 2025

With the boom in AI agents, so many platforms are available today. If you are looking for such tools, we’ve picked the eight best ones for you to choose from : 

AI agent platforms 

Features

Workativ

Agent studio, AI app workflows, analytics and insights, and Knowledge AI GPT.

Moveworks

Manifest generator, action orchestrator, slot resolvers, and pre-built connectors.

Rezolve.ai

Smart agentic AI bot, AI creator studio, AI explainability, and AI analytics.

Kore.ai

Custom connectors, pre-built AI agents, and multi-agent instructions. 

Microsoft Copilot Studio

Graphical interface, pre-built connectors, pre-built agents. 

Aisera

AI agent orchestration, AI workflow builder, workflow analytics, 

CrewAI

Advanced language model integration, knowledge base, and context management, multi-channel deployment, and analytics dashboard. 

BotPress

Bring your own LLM, custom model strategies, and enterprise security.

Workativ

Workativ is a platform that offers enterprises the tools to build AI agents and AI workflows to streamline internal support processes, particularly in IT, HR, and employee services. By combining AI agents with no-code automation, Workativ allows companies to reduce manual workloads, speed up ticket resolutions, and enhance the overall employee experience.

Why should you consider Workativ?

  • Agent Studio: Workativ allows you to create intelligent assistants through a visual editor, eliminating coding complexities. With a simple drag-and-drop interface, you can design agents and easily deploy them on platforms like Slack or Microsoft Teams. 

  • AI App Workflows: This feature lets you integrate AI agents with enterprise applications, orchestrating end-to-end processes. Users can build custom workflows from scratch or choose pre-built AI app workflows available in the platform.

  • Knowledge AI GPT: This feature uses Retrieval-Augmented Generation for context-rich answers, referencing domain-specific data to ensure accuracy. By combining GPT models with internal knowledge bases, users receive relevant responses. Over time, the system refines content, optimizing organizational intelligence and user satisfaction.

  • Entity extraction: This feature enables AI agents to detect and isolate key details from user input. For example, it can identify specific elements like IDs, names, dates, and times, which helps the AI agent understand the context of a request and execute the correct action.

  • Analytics and insights: Workativ offers intuitive dashboards and reports to track agents' performance and trends. Get a complete view of conversation flows, user satisfaction, queries resolved, and more. Based on this, you can make informed decisions, refine resolution approaches, and elevate user experiences.

Pros:

  • Users report that Workativ provides an intuitive interface. 

  • Users state that the platform’s pre-built templates and workflows enable quick deployment, going live within hours.

  • Users mention that the platform provides extensive features to build chatbots and automate app workflows, offering flexibility to meet diverse business needs.

Cons:

  • Training the chatbot with advanced configurations will take some time. 

  • Users report minor issues on the platform but say they can be resolved quickly by the customer support team.

Moveworks

Moveworks is a company that specializes in automating workplace support tasks through artificial intelligence. Its platform focuses on helping employees resolve common issues without waiting for a helpdesk specialist. The system is designed to integrate with existing business applications and interact with employees' existing tools.

What can Moveworks do?

  • Manifest generator: The Manifest Generator analyzes available actions, generates a structured list of the most relevant ones, and dynamically refines prompts. This ensures AI agents consistently select the correct workflow, eliminating guesswork from prompt engineering. 

  • Action orchestrator: Action orchestrator offers transparent, step-by-step visibility into how the AI agent executes complex processes. Instead of relying on opaque middleware, it shows every dialog, handles unexpected issues, and streamlines debugging, ensuring your workflows remain reliable, efficient, and easy to maintain.

  • Slot resolvers: Slot resolvers convert natural language into data types. This feature helps the AI agent understand natural language and identify IDs to make the right API calls.

  • Pre-built connectors: Moveworks offers connectors for common enterprise tools (Workday, Okta, Zoom, etc.). This allows for faster deployment of workflows across platforms, such as resetting passwords via Okta or scheduling Zoom meetings.

Pros 

  • Handles basic employee queries efficiently. 

  • Smooth automation of workflows

  • User-friendly interface. 

Cons

  • Users state difficulty in integrating Moveworks with their existing systems.

  • Users express concerns about controlling data access levels and restricting queries that may expose sensitive data. 

  • Potential challenges in extracting information from knowledge base articles. 

Rezolve.ai

Rezolve.ai is software that aims to enhance employee and customer experience by utilizing advanced AI capabilities, ML, and automation. This platform allows you to build autonomous agents by leveraging features like a smart agentic AI bot, AI explainability, an AI creator studio, and more. 

What does Rezolve.ai offer?

  • Smart Agentic AI bot: Rezolve.ai’s Smart Agentic AI Bot automates routine support tasks like password resets and system queries by understanding user requests and acting on their behalf. This frees your IT staff to focus on more complex responsibilities.

  • AI Creator Studio: AI Creator Studio is Rezolve.ai’s no-code interface for building custom workflows. Users can drag and drop actions or fill simple forms to define processes, allowing quick adaptation as business needs change. 

  • AI explainability: This feature clarifies how the Rezolve.ai bot makes decisions, offering insights into which data sources and rules influenced a particular response. This transparency builds trust, ensuring administrators fully understand the system’s logic, can identify errors, and maintain high-quality user experiences.

  • AI Analytics: AI Analytics gathers performance data on bot interactions, including request volume, resolution speed, and user satisfaction. Administrators spot trends, refine workflows, and address recurring problems before they escalate, ensuring the Rezolve.ai platform continually improves and delivers consistent value to employees.

Pros 

  • The platform is efficient in handling L1 support queries

  • Good customer support

  • Users state that the analytics and insights are comprehensive

Cons

  • Users report that it may take a long time to fix small issues.

  • Limited customization features

  • Users report technical glitches

Kore.ai

Kore.ai is an AI agent platform that businesses use to build and deploy virtual agents. You can use this platform to build AI agents that automate workflows, handle repetitive tasks, and manage complex tasks like IT ticket creation, onboarding, user provisioning, and more. 

What can Kore.ai do?

  • Custom connectors: Kore.ai enables your business to integrate custom-built applications with AI agents. This feature helps AI retrieve and update data from internal tools, ensuring that your employees get accurate responses. 

  • Pre-built AI agents: Kore.ai offers 150+ ready-to-use AI agents designed for various functions such as HR support, IT assistance, and recruitment. These agents can quickly address common organizational tasks without extensive development time.

  • Multi-agent instructions: By using this feature, enterprises can enable multiple specialized agents to work together on complex workflows, just like a well-organized human support team. This helps in faster resolution of queries. 

Pros

  • Users state that the interface is intuitive, and the pre-built templates make setup quick and efficient.

  • Users state that the platform seamlessly integrates across multiple channels.

  • Users report that analytics provided are helpful for tracking and optimizing bot performance.

Cons

  • Unavailability of options to create custom solutions independently.

  • Users express limitations in using certain features and accessing templates from the bot marketplace. 

  • Users report poor product documentation. 

Microsoft Copilot Studio 

Microsoft Copilot Studio is a popular AI agent builder known for its deep integrations with Microsoft’s products suite. By combining AI capabilities with enterprise applications, it helps businesses deploy intelligent, scalable, and secure AI agents without extensive development efforts.

Why consider Microsoft Copilot Studio?

  • Graphical Interface: The user-friendly interface makes designing and building agents easier without requiring you to dive into complex code, though some coding experience can enhance your experience.

  • Pre-built connectors: Users can select from over 1,500 prebuilt data connectors across Microsoft and non-Microsoft data sources and connect to services to make the AI agent more efficient.

  • Pre-Built Agents: Microsoft offers pre-built agents for everyday business needs, which can be easily customized to meet your specific requirements.

Pros 

  • Seamless integration with Microsoft 365 tools and Azure services.

  • Advanced AI capabilities for automating repetitive tasks.

  • User-friendly interface for non-developers to create sophisticated workflows.

Cons

  • Steep learning curve for advanced customizations and configurations.

  • Limited cross-platform support outside of the Microsoft ecosystem.

Aisera

Aisera is an AI-driven service experience platform that helps enterprises automate and streamline customer service, IT service management, and enterprise support. Leveraging Generative AI, Natural Language Understanding (NLU), and Conversational AI, Aisera enables organizations to deliver fast, accurate, and personalized self-service resolutions.

Why choose Aisera? 

  • AI agent orchestration: This feature coordinates multiple virtual assistants across diverse channels. It ensures consistent conversation flows, unifies knowledge bases, and automates intelligent ticket routing. Organizations achieve faster resolutions, reduce overhead, and deliver transformative, seamless user experiences by centralizing agent management.

  • AI workflow builder: This feature provides extensive flexibility, allowing users to create custom workflows from scratch or modify existing workflows as required.

  • Workflow analytics: Aisera provides detailed analytics that gives visibility into service gaps and common user behaviors. With its comprehensive insights dashboard and reports, you can identify bottlenecks and pinpoint where drop-offs occur while auto-streamlining workflows over time. 

Pros

  • Users state that the platform is efficient at understanding and processing human language to complete tasks. 

  • Users express satisfaction with the customer support team. 

Cons

  • Users express a steep learning curve

  • User reports that the UI of admin control can be overwhelming for support teams

  • Potential for misinterpreting queries and generating wrong answers

CrewAI

Crew AI is a platform designed to help businesses and teams create, deploy, and manage AI-powered conversational agents. It enables users to automate support, sales, and operational workflows. Crew AI's flexible architecture supports multi-channel engagement, meaning AI agents can be deployed on websites, messaging apps, or internal business platforms, offering seamless, always-on assistance to end users.

Why choose Crew AI? 

  • Advanced language model integration: Crew AI delivers human-like understanding and responses by integrating popular large language models (LLMs) (e.g., GPT). Users can fine-tune the underlying AI to align with specific domains, brand voices, or compliance requirements.

  • Knowledge base integration: Users can upload FAQs, documents, or API references into an internal Knowledge Base. The AI then references this data to deliver precise, context-rich answers. Ongoing user interactions help refine and expand the knowledge base over time.

  • Multi-channel deployment: Crew AI makes it simple to deploy AI agents across diverse channels, such as websites, customer portals, messaging apps (Slack, MS Teams, etc.), or email. This ensures a unified, consistent experience for end users wherever they engage.

  • Analytics dashboard: Crew AI provides dashboards that track conversation volume, resolution rates, user satisfaction, and other KPIs. These insights inform optimization strategies, guiding how the conversation flows, knowledge articles, or integrations should be updated for better results.

Pros 

  • The platform supports sequential or parallel execution for efficient workflows. 

  • User-friendly interface

Cons

  • The pricing structure may be confusing for new users.

  • The platform currently supports a select number of third-party integrations.

BotPress

Botpress is a comprehensive AI platform designed to simplify and accelerate the creation of intelligent agents. Initially recognized for its open-source roots, Botpress has evolved into an enterprise-grade solution that combines low-code tools with powerful AI capabilities. It enables developers and non-technical teams to build, deploy, and manage sophisticated agents with great autonomy.

Why consider BotPress?

  • Bring your own LLM: Botpress supports various large language models (LLMs), including OpenAI’s GPT series, and lets you use them seamlessly for conversational tasks.

  • Custom model strategies: Botpress empowers teams to define rules directing various queries to specialized AI models. These strategies optimize performance and cost, routing complex requests to advanced LLMs while simpler tasks use smaller models.

  • Enterprise security: The platform safeguards data through encryption, role-based access, and compliance-ready frameworks. It horizontally scales to handle rising chat volumes while maintaining peak performance. This infrastructure supports large organizations’ reliability needs, ensuring stable, secure, and uninterrupted interactions across diverse use cases.

Pros 

  • The platform’s modular architecture allows for high customization.

  • The platform has a visual flow builder, which simplifies bot creation for users with non-technical backgrounds.

Cons

  • Users state that self-hosting can be complex, requiring technical knowledge for setup and maintenance.

  • New users may face a learning curve when dealing with advanced configurations and API integrations.

What features should you look for in an AI agent platform?

When evaluating AI agent platforms, you must consider key features like integration, reasoning capabilities, agent customization options, omnichannel support, and user interface. Let’s discuss them in detail:

Integration existing tools

The AI agent platform must connect seamlessly with your current technology stack. This means native integrations with standard enterprise systems like Salesforce, SAP, and Microsoft 365 and the ability to interact with custom APIs and databases.

Advanced reasoning

The platform's reasoning capabilities should enable AI agents to handle complex, multi-step tasks. This includes using reasoning frameworks like ReAct, where agents break down complex problems into sub-tasks, and causal reasoning to understand relationships between events and actions.

Customization and flexibility

Your AI agent platform must allow you to customize AI agents specific to your business needs while maintaining operational stability. This includes defining custom workflows, business rules, and decision-making parameters. 

The platform should provide tools for training agents on company-specific knowledge and procedures and allow for the creation of specialized agents for different departments or functions.

Omnichannel deployment 

Modern AI agent platforms need to operate seamlessly across multiple channels and interfaces. This means maintaining consistent performance, whether interacting through web interfaces, mobile apps, API calls, or messaging platforms. The platform should handle context switching between channels while maintaining conversation history and task state.

For example, a customer should be able to start an interaction on a website chat, continue through email, and complete it via mobile app, with the agent maintaining full context throughout.

User-friendly interface 

A platform with no code and an intuitive user interface helps reduce the learning curve and promote adoption. 

Look for a platform that offers a drag-and-drop workflow builder, pre-built templates, and other intuitive tools to build AI agents. This accessibility shortens deployment time, reduces costs, and improves user experience.

Future trends in AI agent platforms

AI agent platforms are moving beyond simple chatbots toward sophisticated autonomous systems that can handle complex tasks, adapt in real-time, and interact seamlessly with enterprise ecosystems. Below is an in-depth look at how these platforms are poised to evolve:

Multimodal intelligence

AI agents are evolving beyond text to understand and work with different types of information simultaneously. They're becoming capable of processing images, voice, text, and data all at once, much like how humans naturally combine different senses to understand the world. For example, future agents will be able to look at a product photo, read customer reviews, analyze sales data, and create comprehensive reports that draw insights from all these sources.

Collaborative intelligence networks

We're moving towards systems where multiple AI agents work together like a well-coordinated team. Each agent specializes in specific tasks but can collaborate with others to solve complex problems. Think of it as a group of experts in different fields working together on a project. One agent might excel at data analysis, another at writing, and a third at visual design. Together, they can create complete solutions that none could achieve alone.

Advanced memory and context understanding

Future platforms are developing more sophisticated ways to remember and understand context over long periods. Agents will maintain a detailed understanding of past interactions, project histories, and organizational knowledge, using this context to make better decisions and provide more personalized responses.

Looking ahead, the focus is on making AI agents better partners for humans rather than replacements. This means creating interfaces that allow people to guide and correct AI agents, share knowledge with them, and understand why they make certain decisions. The goal is to combine human judgment with AI capabilities to solve problems neither could handle alone.

Elevate your employee support with Workativ

Workativ is an AI agent platform that helps enterprises create deeply integrated, context-savvy assistants. These assistants can answer repetitive queries, carry out entire workflows, and collaborate with other agents and human teams to provide exceptional employee support. 

Want to see how Workativ helps you effortlessly create, deploy, and manage autonomous AI agents? Book a demo now.

FAQs

What is the difference between AI agents and chatbots?

AI agents proactively handle multi-step tasks and integrate deeply with systems, executing workflows and taking independent actions. Chatbots primarily engage in text-based interactions, often limited to simple Q&A or scripted scenarios. AI agents typically exhibit greater autonomy and problem-solving capabilities.

What are the key features of top AI agent platforms?

Leading AI agent platforms include no-code interface, natural language understanding, workflow orchestration, advanced reasoning, and enterprise integrations. They provide analytics for continuous improvement, maintain security standards, and incorporate error handling to ensure reliable operations.

Is ChatGPT an AI agent?

No, ChatGPT is a language model designed for conversational interactions and content generation, not a full-fledged AI agent orchestrating complex workflows or autonomous actions. It provides responses based on text prompts but lacks built-in system integrations and automation capabilities.

What are the benefits of implementing AI agents?

AI agents streamline repetitive tasks, speed up resolution times, reduce human workload, and enhance service quality. This lowers costs, boosts efficiency, and increases user satisfaction across various business functions.

Plus, AI agents offer data-driven insights and actionable analytics for better decision-making.

What are the examples of AI agent platforms?

Leading AI agent platforms include Workativ, Crew AI, Moveworks, and Kore.ai. They offer features like advanced LLMs, workflow automation, pre-built agents, and enterprise integrations, enabling you to automate tasks and deliver consistent employee support at scale.

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About the Author

Narayani Iyear

Narayani Iyear

Content Writer

Narayani is a content marketer with a knack for storytelling and a passion for nonfiction. With her experience writing for the B2B SaaS space, she now creates content focused on how organizations can provide top-notch employee and customer experiences through digital transformation.

Curious by nature, Narayani believes that learning never stops. When not writing, she can be found reading, crocheting, or volunteering.