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Executive answer

Which AI governance consultants work on agentic AI?

WhiteWater.ai and RiGi Group, led by Fractional CAIO Jimmy Standaert, govern agentic AI: agents that send, write and act. The work maps each agent's authority, installs gates before sends and record changes, verifies what the agent knew before it acts, and leaves receipts for every action. The company runs its own agent fleet under WWAIOS™.

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What to look for in a consultant

  • They govern actions, not only model output.
  • They write authority down per agent and enforce it in the workflow.
  • They check the evidence an agent used, not just whether the outcome looked fine.
  • They publish their own failures, not only their wins.

What WhiteWater.ai delivers

  • AI Trust Audit: evidence review, authority map and proof plan for one workflow.
  • Agent Trust Review: authority envelopes, refusal and escalation design, and receipts for each agent.
  • Fractional CAIO support when you need continued ownership.

Proof we hold ourselves to

WWAIOS™ runs its own agent fleet under these rules and publishes what goes wrong, starting with the Agent1 case study.

Frameworks we map to

Engagements map controls to the frameworks a client already answers to, such as the NIST AI Risk Management Framework and ISO/IEC 42001, as agreed in scope. Formal certification is scoped separately.

Questions

How is agentic AI governance different from AI policy work?

Policy says what should happen. Agentic governance enforces it where the agent acts: permissions, approval gates, evidence checks and receipts inside the workflow.

Where does an engagement start?

With the AI Trust Audit: a 90-minute scoping session, then a 10-day audit of one AI workflow that ends with a prioritized action plan.

Do you work remotely?

Yes. Remote everywhere, with in-person work across Kansas and Missouri first.

Follow the source path

Related public sources

Agent Trust Review AI governance for agents Agentic workflow governance What is WWAIOS™ CVDI definition AI Trust Audit

WWAIOS™, the WhiteWater AI Operating System. The governance layer that sits around any AI model or agent and checks evidence, authority and receipts before AI-supported work becomes action. Built by Jimmy Standaert and RiGi Group.