AI adoption is moving faster than governance capability.

AI is already entering workflows, decisions, communication, analysis, and operational routines.

But in many organizations, governance is still reduced to policies, tool rules, or compliance checklists.

The deeper question is whether responsibility, oversight, escalation, and decision quality still hold when AI starts changing how work actually gets done.

What we assess

AI Policy & Guidelines
Are boundaries, rules, and usage principles clearly defined?

Accountability & Responsibilities
Who remains accountable when AI influences work, decisions, or recommendations?

Human Oversight
Where must humans review, challenge, stop, or override AI-supported actions?

Escalation Paths
When does an AI-related issue need to be escalated and to whom?

Decision Pathways
Where does AI enter existing decisions, approvals, handoffs and governance routines?

AI Drift & Decision Integrity
Where can standards, responsibility, oversight or decision quality start to shift over time?