Everyone's building smarter AI agents.
OpenAI and Anthropic keep making models more capable. Frameworks like LangGraph make it easier to orchestrate complex workflows.
But in a real clinic, the challenge isn't just completing a task.
Take prior authorization.
Every request needs to review the patient's history, follow insurance requirements, apply clinic policies, and produce an auditable decision. One inconsistent step can delay treatment or create compliance issues.
In this workflow:
Hermes plans the process.
OpenClaw executes each step.
Marrow provides shared memory and governance so agents can reuse previous decisions, stay consistent, and keep a complete audit trail.
That's the difference between an AI agent that works and one a healthcare team can actually rely on.
Enterprise AI isn't just about smarter models.
It's about building workflows that are reliable, compliant, and repeatable.
See Marrow in action →
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