AI governance maturity assessment

AI Governance Maturity Assessment

Score an organization's AI governance readiness across inventory, classification, documentation, DPIA, audit, oversight, monitoring, and incident response. The generated output is a working draft for governance review and should be validated by the accountable business, technical, legal, and compliance owners.

AI systems are centrally inventoriedAI Act risk classification is appliedTechnical documentation is generated and maintainedDPIA workflow exists for personal-data processingAudit logs are immutable and searchableHuman oversight is operationalizedReview cadence and monitoring are definedAI incident response is documented

Maturity score

50/100

Developing

# AI Governance Maturity Assessment

Score: 50
Level: Developing

## Strengths
- AI systems are centrally inventoried.
- AI Act risk classification is applied.
- Audit logs are immutable and searchable.
- Human oversight is operationalized.

## Gaps
- Generate technical documentation from inventory records.
- Add DPIA draft, review, and approval workflow.
- Set review due dates and monitoring cadence.
- Document AI incident response and escalation steps.

## Next actions
- Generate technical documentation from inventory records.
- Add DPIA draft, review, and approval workflow.
- Set review due dates and monitoring cadence.
- Document AI incident response and escalation steps.

Problem

AI workflows are often created faster than organizations can inventory, classify, document, monitor, audit, review, and govern them.

Regulatory relevance

GDPR and the EU AI Act both reward clear records, risk assessment, human oversight, logging, and accountable review processes.

Corelyx solution

Inside Corelyx, these draft reports become workflow-native evidence connected to schemas, approvals, execution logs, and exports.