Agentic AI Governance

Governance for AI agents with clear authority, accountability and an audit trail.

AI agents now act for organizations. They make decisions, move data and complete transactions. Each action raises governance questions: who authorized it, within what limits, and who is responsible for the result. Ethos helps you prepare those answers before agent use scales.

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Autonomy needs a string. That's what lets it fly. Governance for AI agents with clear authority, accountability and an audit trail. Illustration of a kite on a string.

How we start

An agentic AI interview, using a written form and a conversation, maps how and where your organization uses agents or plans to. What we learn sets the focus of our strategic advice, your agent governance plan and the related policies and protocols.

What we assess

  • Where agents run, what they can access and what they can do
  • Which actions agents take alone and which need human approval
  • Who owns each agent and its outcomes
  • Whether agent actions can be traced and reviewed
  • How agent use maps to frameworks such as the EU AI Act, NIST AI RMF, ISO/IEC 42001, and Colorado and California AI rules

What we advise on

  • An agent governance plan matched to your use and risk profile
  • Agent authority charters: scope, spend limits and escalation
  • Human oversight and intervention protocols
  • Policies for deploying, monitoring and retiring agents
  • Audit trail requirements, planned with your technical teams

Start with a discovery call

Discovery call → scoping assessment → agentic AI interview and maturity assessment.

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