Top Agentic AI Platforms in 2025
As AI capabilities evolve from static tools to intelligent systems, a new category has emerged: Agentic AI platforms. These systems go beyond simple automation or chat-based assistants. They autonomously understand goals, plan multi-step processes, use tools like CRMs or databases, and adapt as they execute tasks.
In this article, we present an in-depth analysis of the top agentic platforms in 2025 based on Olive’s vendor evaluation data. Whether you’re leading IT innovation or evaluating automation strategies, this guide will help you understand what defines a true agentic platform—and which vendors are delivering on your needs.
What Is an Agentic Platform?
Agentic platforms enable autonomous, goal-directed behavior from AI systems. These platforms are distinct from prompt-based copilots or rule-based automation because they can:
- Understand high-level intent
- Break it into executable tasks
- Use software tools (via APIs, browsers, or direct interactions)
- Monitor their own progress and adjust dynamically
Agentic systems are designed to operate more like digital employees than scripts or chatbots, making them especially powerful in enterprise workflows that cross systems, roles, and data sources.
How We Evaluated Agentic AI Platforms
To evaluate the top Agentic AI platforms for 2025, we assessed their ability to deliver across six enterprise-critical dimensions — from autonomy and orchestration to integration, governance, and real-world scalability. These criteria are designed to distinguish platforms that offer true agentic capabilities from those that simply layer AI into existing tools, helping organizations identify solutions aligned with long-term impact and operational fit.
Each platform was assessed across the following categories:
- Autonomy & Task Planning
- Tool Integration & Execution
- Workflow Orchestration
- Customizability & Extensibility
- Security, Governance & Trust
- Enterprise Readiness
This vendor list was compiled using real Olive project data—live comparisons run by actual buyers in enterprise environments.
Key Capabilities Evaluated
Based on real-world project data from Olive, we identified a set of core capabilities that define the difference between basic AI augmentation and true agentic performance. These functional pillars reflect what enterprises need most from agentic platforms today — not just intelligence, but integration, reliability, security, and adaptability at scale. The capabilities below formed the foundation for vendor evaluation and comparison throughout this report.
- Autonomous Planning & Execution: Goal decomposition, task execution, self-monitoring
- API & Tool Usage: Integration with CRMs, plugins, and third-party systems
- Workflow Orchestration: Multi-agent workflows, logic handling, event triggers
- Developer & Business User Customization: No-code/low-code design, SDKs, extensibility
- Trust, Safety & Control: Role-based access, error handling, logging
- Deployment & Support: SaaS/on-premise flexibility, compliance, support infrastructure
Top Agentic AI Platforms in 2025
Below is a selection of the most capable agentic AI platforms on the market, organized by strength and specialization.
Relevance AI
Best for: Enterprise-grade agent orchestration and visual workflow design.
Relevance AI provides a comprehensive platform for building and managing autonomous agents within enterprise environments. It features a visual workflow builder that allows both technical and non-technical users to design complex agentic processes, ensuring seamless integration with existing enterprise systems. The platform emphasizes security, scalability, and compliance, making it suitable for large organizations seeking to implement agentic AI solutions.
Microsoft Autogen
Best for: Complex, multi-agent collaboration and Azure-native deployments.
Microsoft Autogen is designed to facilitate the development of collaborative AI agents capable of complex interactions. Built on the Azure platform, it offers native integration with Microsoft’s suite of services, enabling enterprises to deploy agentic solutions that leverage existing cloud infrastructure. Autogen supports scenarios requiring coordinated efforts among multiple agents, making it ideal for sophisticated enterprise applications.
Cognosys
Best for: Browser-native, fully autonomous agents capable of real web interaction.
Cognosys offers agents that operate directly within web browsers, autonomously performing tasks such as data extraction, form submission, and web navigation. These agents mimic human interactions with web interfaces, allowing for automation of tasks across various web-based platforms without the need for APIs or backend integration.
CrewAI
Best for: Multi-agent architecture with role-based task delegation.
CrewAI provides a framework for constructing systems where multiple AI agents collaborate, each assigned specific roles and responsibilities. This architecture facilitates complex task execution through coordinated agent interactions, making it suitable for applications requiring distributed problem-solving and task management.
IBM Watsonx Orchestrate
Best for: Automating processes across existing enterprise software stacks.
IBM Watsonx Orchestrate integrates with a wide range of enterprise applications to automate workflows and processes. Leveraging IBM’s AI capabilities, it enables the creation of agents that can perform tasks such as scheduling, data entry, and customer service interactions, enhancing efficiency across various business functions.
Adept AI
Best for: Interface-level automation using vision-based agent interaction.
Adept AI focuses on developing agents that interact with software interfaces visually, allowing them to operate applications as a human would. This approach enables automation across software without the need for APIs, facilitating tasks like document processing, data analysis, and software configuration.
Microsoft Copilot Studio
Best for: Teams using Microsoft 365 and building custom internal agents.
Microsoft Copilot Studio allows organizations to create custom AI agents within the Microsoft 365 ecosystem. These agents assist with tasks such as drafting emails, generating reports, and providing data insights, enhancing productivity by integrating seamlessly with familiar Microsoft tools.
UiPath
Best for: Organizations transitioning from traditional RPA to agentic AI.
UiPath extends its robotic process automation capabilities by incorporating agentic AI, enabling the development of autonomous agents that can handle unstructured tasks and make decisions based on real-time data. This evolution supports organizations in automating more complex processes beyond traditional rule-based tasks.
ServiceNow
Best for: Automating workflows in ITSM, HR, and service operations.
ServiceNow leverages agentic AI to enhance its workflow automation platform, particularly in areas like IT service management, human resources, and customer service. Its AI agents assist in tasks such as incident resolution, employee onboarding, and customer inquiries, streamlining operations and improving service delivery.
LivePerson
Best for: Customer-facing agents handling service, support, and sales interactions.
LivePerson specializes in conversational AI agents designed to engage with customers across various channels. These agents handle tasks such as answering queries, providing product recommendations, and assisting with purchases, enhancing customer experience and engagement.
Workday
Best for: Embedded AI in finance and HR processes, with task-specific autonomy.
Workday integrates agentic AI into its finance and human resources software, providing autonomous assistance in tasks like payroll processing, expense management, and talent acquisition. This integration enhances the efficiency and accuracy of critical business operations.
Zapier AI
Best for: Lightweight AI-driven task builders that integrate across web apps.
Zapier AI extends the platform’s automation capabilities by enabling users to create AI-driven workflows that connect various web applications. This allows for the automation of tasks such as data synchronization, notifications, and report generation without extensive coding knowledge.
Orby
Best for: Simple, prebuilt AI agents for non-technical teams.
Orby offers a suite of ready-to-use AI agents designed for common business tasks, such as scheduling meetings, managing emails, and organizing projects. Its user-friendly interface makes it accessible for teams without technical expertise to implement AI-driven automation quickly.
Top Agentic AI Platforms Trends in 2025
- From copilots to full agents: Enterprises are shifting from passive assistants to autonomous agents that initiate and manage work on their own.
- Closed vs open architectures: Some platforms offer flexibility (e.g., CrewAI, Relevance AI), while others focus on embedded turnkey systems (e.g., Microsoft Copilot Studio, ServiceNow).
- Governance matters: Agent behavior must be observable and controllable—logging, permissioning, and rollback features are becoming essential.
- Industry-specific agents are on the rise: Vendors are offering specialized solutions for HR, finance, and IT, where domain knowledge adds value.
How to Choose from the Top Agentic Platforms
When evaluating an agentic AI solution, enterprise buyers should consider:
- Use case specificity: Does the platform solve your real workflows (e.g., onboarding, triage, reconciliation)?
- Level of autonomy: Can it operate independently or does it require manual prompting?
- Tool compatibility: Will it integrate with your core systems (CRM, ERP, ticketing)?
- Customization & scalability: Is it adaptable to future use cases or only prebuilt tasks?
- Governance: Are there controls to ensure responsible and transparent agent behavior?
Final Thoughts
Agentic AI platforms are not a passing trend — they represent a fundamental shift in how enterprise software works. They offer the potential to not only accelerate productivity but to redefine roles, workflows, and the relationship between humans and software.
Organizations that begin evaluating and testing agentic AI today will be positioned to lead in the coming wave of intelligent, autonomous systems.
Evaluate Platforms with Olive
Olive helps organizations quickly define requirements, compare top agentic platforms, and generate unbiased reports based on live data. To explore or start your own agentic AI evaluation project:
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