2025 Platform Guide

Best Agentic AI Platforms for Enterprises

Complete comparison of top agentic AI platforms: features, pricing, use cases, and implementation considerations for enterprise decision-makers.

What is Agentic AI?

Agentic AI refers to AI systems that can autonomously perceive their environment, make decisions, take actions, and learn from outcomes to achieve specific goals—without constant human intervention.

Unlike traditional automation (which follows predefined rules) or basic AI (which provides recommendations), agentic AI actively pursues objectives by:

Perceiving: Understanding context from structured and unstructured data
Reasoning: Analyzing situations and making intelligent decisions
Acting: Executing tasks across multiple systems
Learning: Improving performance based on feedback and outcomes

Top Agentic AI Platforms Comparison

Platform	Best For	Key Strengths	Starting Price	Deployment
Lumay	Enterprise workflows, Microsoft ecosystems	RAG AI, Dynamics 365 integration, rapid deployment	$50/user/mo	Cloud/On-prem
OpenAI Agents (GPT)	Custom AI development, tech-savvy teams	Latest LLM tech, extensive API, developer tools	API usage-based	Cloud (API)
Microsoft Copilot Studio	Microsoft 365 users, low-code needs	Native M365 integration, familiar interface	$200/tenant/mo	Cloud (Azure)
Google Vertex AI Agents	Google Cloud users, ML-focused teams	Google AI models, GCP integration, scalability	Usage-based	Cloud (GCP)
Anthropic Claude Agents	Safe AI applications, research-oriented	Constitutional AI, safety features, reasoning	API usage-based	Cloud (API)
LangChain/LangGraph	Developers building custom agents	Open-source, flexible, multi-LLM support	Free (OSS)	Self-hosted
Salesforce Agentforce	Salesforce CRM users	Native Salesforce integration, CRM workflows	$2/conversation	Cloud (Salesforce)

Detailed Platform Reviews

1. Lumay

BEST FOR ENTERPRISES

Enterprise-focused agentic AI platform designed for business users. Best known for SmartDynamics365 agent that intelligently automates Dynamics 365 workflows with natural language understanding.

✅ Strengths

• Enterprise-ready (SOC 2, HIPAA, GDPR)
• RAG AI for company knowledge
• Rapid deployment (days not months)
• Microsoft ecosystem integration
• Transparent pricing ($50/user/mo)
• 24/7 support included

⚠️ Considerations

• Focused on business workflows
• Not for custom AI research
• Designed for Microsoft ecosystems

Best Use Cases: Dynamics 365 automation, customer service AI, workflow orchestration, document processing, compliance automation

2. OpenAI Agents (GPT)

BEST FOR DEVELOPERS

Latest GPT models with function calling, code interpreter, and agent capabilities. Requires development expertise to build and deploy agents.

✅ Strengths

• State-of-the-art LLM capabilities
• Extensive API and tools
• Large developer community
• Multimodal (text, image, voice)
• Function calling for actions

⚠️ Considerations

• Requires significant development
• No pre-built business workflows
• Usage-based pricing complexity
• Limited enterprise support
• Data privacy considerations

Best Use Cases: Custom AI applications, chatbots, content generation, code assistance, research projects

3. Microsoft Copilot Studio

BEST FOR M365 USERS

Low-code platform for building custom copilots within Microsoft 365 ecosystem. Integrates with Teams, SharePoint, Dynamics 365.

✅ Strengths

• Native M365 integration
• Low-code/no-code interface
• Microsoft Graph access
• Azure AD integration
• Familiar UI for M365 users

⚠️ Considerations

• Limited AI intelligence vs pure AI platforms
• Requires Power Platform licenses
• Complex pricing tiers
• Connector limitations
• Less autonomous than Lumay

Best Use Cases: M365 automation, Teams bots, simple Q&A, document search, basic workflow automation

4. Google Vertex AI Agents

BEST FOR GCP

Google Cloud's AI agent framework with access to Gemini models, search, and GCP services.

✅ Strengths

• Google AI models (Gemini)
• Tight GCP integration
• Enterprise scalability
• Google Search integration
• Strong ML tools

⚠️ Considerations

• Requires GCP commitment
• Technical expertise needed
• Limited pre-built agents
• Complex pricing

5. Salesforce Agentforce

BEST FOR SALESFORCE CRM

AI agents purpose-built for Salesforce CRM workflows, customer service, and sales automation.

✅ Strengths

• Deep Salesforce integration
• CRM-specific agents
• Sales/service workflows
• Einstein AI foundation

⚠️ Considerations

• Salesforce-only (no Dynamics 365)
• Expensive ($2/conversation)
• Limited beyond CRM use cases

How to Choose an Agentic AI Platform

Choose Lumay If:

You use Microsoft Dynamics 365, Teams, or Microsoft 365
You need enterprise-ready AI (compliance, security, support)
You want rapid deployment without extensive development
You need intelligent automation for business workflows
You prefer transparent, predictable pricing

Choose Other Platforms If:

OpenAI: You're building custom AI apps and have dev resources
Copilot Studio: You need simple M365 automation and have Power Platform
Google Vertex: You're committed to GCP and need ML tools
Salesforce: You only use Salesforce CRM (not Dynamics 365)

Ready to Implement Agentic AI?

Lumay offers the fastest path to enterprise-grade agentic AI with transparent pricing and expert support.

FAQs: Agentic AI Platforms

What's the difference between agentic AI and traditional AI?

Traditional AI provides recommendations or predictions. Agentic AI autonomously takes actions to achieve goals—perceiving, reasoning, acting, and learning without constant human oversight.

How is agentic AI different from RPA?

RPA follows predefined scripts for structured tasks. Agentic AI understands context, handles unstructured data, makes intelligent decisions, and adapts to new situations—making it suitable for complex, variable workflows.

What's the typical ROI of agentic AI platforms?

Lumay customers report 3-4x ROI in year 1, with 60-75% reduction in manual work, 90%+ task accuracy, and implementation in days vs months. ROI varies by use case and implementation scope.

Do I need AI expertise to use agentic AI platforms?

Platforms like Lumay are designed for business users—no AI expertise required. Developer-focused platforms (OpenAI, LangChain) require technical skills. Choose based on your team's capabilities.