AI inventory and context
Understand which AI systems are in scope, their purpose, users, owners, and operating context.
AI GOVERNANCE ASSESSMENT
Review how AI systems are governed across an agreed scope. Connect policies, controls, accountable owners, and real usage evidence to practical findings your team can act on.

THE REVIEW SCOPE
Review each area within an agreed organizational and system scope. Findings identify the evidence reviewed, open questions, ownership, and practical next steps.
Understand which AI systems are in scope, their purpose, users, owners, and operating context.
Review data sourcing, access, quality, retention, and responsibilities supporting AI use.
Examine how teams test outputs, monitor performance, and address issues relevant to the use case.
Review third-party AI responsibilities, documentation, change awareness, and escalation paths.
Clarify oversight, reporting, decision ownership, and how material risks reach leadership.
HOW THE ASSESSMENT WORKS
The work follows an agreed scope and human review. We distinguish what the evidence supports from what needs clarification.
Identify systems, teams, boundaries, and assessment criteria before review begins.
Provide relevant policies, system records, ownership details, and supporting documentation.
Assess evidence, discuss context with accountable owners, and record limitations or open questions.
Use clear findings, priorities, owners, and next steps to guide leadership and implementation.
WHAT YOUR TEAM RECEIVES
The report connects its conclusions to the agreed scope, supporting records, review status, and accountable owners.
AICS provides independent readiness assessments. Certification decisions are made by external certification bodies.
AI GOVERNANCE + FINOPS FOR AI
Explore the AICS demo and sample report, then decide whether an assessment fits your team’s needs.