Build the governance evidence your AI systems will need.
DDAI helps organisations prepare practical AI governance systems aligned with the EU AI Act, ISO/IEC 42001 readiness, procurement scrutiny, internal risk management, and the evidence needed around live AI systems.
The evidence gap
Policies need operational proof
AI governance cannot be a policy document that sits on a shelf. Organisations need to know what systems they use, what risks they introduce, who is accountable, what human oversight exists, and what evidence proves the system is being managed.
Workstreams
AI system inventory
AI risk classification
Governance roles and responsibilities
Policy pack
Human oversight model
AI incident and escalation process
Evidence model
Vendor and procurement controls
ISO/IEC 42001 readiness gap assessment
Board-ready AI governance report
Governance must connect to the system itself
AI governance cannot live only in policies and slide decks. For AI systems to be properly governed, organisations need records of how systems are designed, tested, deployed, monitored, reviewed, and changed. Where suitable, this evidence model can be aligned with Evidary’s proof and governance architecture.
AI system inventory records
Model and tool selection rationale
Data source and access records
Risk assessments
Human oversight records
Evaluation results
Prompt and policy configuration records
Monitoring and incident logs
Change records
User training evidence
Vendor and procurement evidence
Deliverables
AI inventory and use-case register
Risk and control matrix
Governance operating model
Acceptable AI use policy
Model and vendor review process
Evidence retention guidance
Board summary and 90-day action plan
Evidary-ready evidence schema
Need AI governance that is practical, not theoretical?
DDAI can help you connect business value, technical implementation, human oversight, and governance evidence from day one.
Start a governance readiness review