Disclosure: I work at Ailoitte, which appears on this list. Noted upfront — the framework and questions at the end apply to us too.

The Real Filter

One question separates vendors from teams actually building production agentic systems:

"Show me something running in production for more than 60 days. What broke?"

If they can't answer that, they're building demos — not systems.

This list is built around that filter.

What Agentic AI Actually Means

Not chatbots. Not copilots. Not RAG pipelines with a chat interface.

Agentic AI follows a loop:

Perceive → Reason → Select Tool → Execute → Evaluate → Loop or Escalate

The hard parts aren't the model. They're:

State management across long-running tasks

Tool call reliability and retry logic

Escalation design — knowing when to stop and surface to a human

Eval gates — mid-pipeline checkpoints, not just end checks

Production drift — systems that work at launch and quietly degrade

Most vendors solve the first 10%. Very few solve all of it.

The Companies

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