Mar Dat

AI Governance and Human Approval

A governance framework written for your industry: what AI may never do alone, who signs, and how the rules reach the people using it.

What this covers

Executive-level AI governance that turns your organization's stance on AI into rules people and agents can follow.

Five governance pillars with a named lead for each: people, technology, finance and product, risk and regulatory, governance operations
Separate autonomy policies for rules-based agents and collaborative, customer-facing agents
An AI use handbook, a role-based access matrix and a 30 and 90 day implementation roadmap
Context engineering as the discipline that turns governance beliefs into system behavior

A documented organizational position on what AI can and cannot do, tied to your goals and strategy.

Every AI action mapped to an autonomy level and a named approver, with escalation protocols.

Regulated content, personal data and platform policy handled up front, so the person using the tool does not need to know the rules.

Start with a conversation about where this fits in your stack and your team.