AI Governance · Ownership · Agent Authority

As AI gains capability, make ownership and authority explicit.

DRC helps organizations define ownership, review paths, human escalation, authority boundaries and evidence requirements as AI use expands—without positioning governance as a separate bureaucracy.

Agent use cases

Agent Authority & Oversight Assessment

Define what an agent is meant to accomplish, what it may do, when a person must intervene and what technical requirements follow.

Boundary

Governance design—not security engineering.

DRC can define requirements and translate across stakeholders. IAM, security-control implementation and deep technical engineering remain specialist work.

The practical questions

Ownership. Review. Escalation. Authority. Evidence.

Governance belongs when progress requires repeatable accountability and boundaries. It is a specialist entry point—not the universal headline for DRC.

For AI programs

  • Who owns the system and the business outcome?
  • What review is required at each stage of the lifecycle?
  • Where do product, risk, legal, security and business responsibilities meet?
  • What evidence is required to approve, monitor, reassess or retire?

For agents

  • What is the agent authorized to access, decide and do?
  • Which actions require human approval or escalation?
  • What technical requirements follow from those authority boundaries?
  • How should behavior, exceptions and changes be evidenced over time?

AI adoption has moved faster than ownership?

DRC can help define the governance structure and implementation requirements needed to move forward.

Discuss your situation →