Know whether an AI system is safe to buy, deploy, or sell.
DDAI helps organisations assess AI vendors and helps vendors prepare for enterprise procurement. We review risk, data handling, model behaviour, governance, documentation, and evidence gaps.
The procurement risk
AI claims need evidence
Organisations buying AI need to know whether a tool can be used safely. Vendors selling AI need to prove their systems are trustworthy enough for enterprise and public-sector buyers. Both sides need structured evidence.
For AI buyers
Vendor questionnaire
AI risk review
Data protection and security review
Technical due diligence review
Model transparency review
Human oversight review
Procurement decision memo
Supplier remediation plan
Technical due diligence
AI procurement is not only a policy review. DDAI can assess the technical and operational claims behind an AI system. For AI vendors, this can also become a sales-enablement evidence pack for enterprise and public-sector buyers.
System architecture
Model and provider dependencies
Data flows
Application programming interface behaviour
Logging and monitoring
Security and access controls
Evaluation approach
Human oversight
Failure modes
Vendor evidence quality
Deployment and integration risk
For AI vendors
AI assurance dossier
Product risk classification
Evidence gap report
Buyer-facing documentation pack
Governance roadmap
Procurement readiness checklist
Buying or selling AI? Make the evidence clear.
DDAI can help you connect business value, technical implementation, human oversight, and governance evidence from day one.
Start an assurance review