AI Governance Foundation
An assessment of where your AI governance stands, and the structure to build on it.
Most organizations adopted AI before they built governance for it. Tools spread across teams, data moves in ways no one has mapped, and ownership of outcomes is unclear. Ethos starts by assessing where you stand. We design the workflows and accountability structures to govern AI as it evolves.
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How we start
A governance interview and maturity assessment, using a written form and conversations with your team, establishes how your organization uses AI today. What we learn sets the focus of the risk and gap analysis and the governance design.
What we assess
- Risk and gap analysis: where current practice falls short of your risk profile and regulatory expectations
- Data map: what data your AI systems use, where it comes from, where it goes, and how it's used
- AI use case inventory: every AI tool and use case in place, including unapproved ones
- Existing AI policies, roles and decision rights
- Alignment with frameworks such as the EU AI Act, NIST AI RMF, ISO/IEC 42001, and Colorado and California AI rules
What we advise on
- Governance workflows for approving, monitoring and retiring AI use cases
- Accountability structures: who owns each AI system, decision and outcome
- AI policies matched to your use and risk profile
- A prioritized roadmap to close the gaps the assessment finds
Start with a discovery call
Discovery call → scoping assessment → governance interview and maturity assessment.