Governed AI Pilot & Integration
Turn one high-value use case into a working, governed pilot.
DDAI designs and implements one bounded workflow inside an agreed technical, data, and decision boundary. The pilot is tested against written acceptance criteria and leaves an operational and evidence handover.
The problem
A demonstration proves possibility. It does not prove operational fitness.
A useful system needs reliable inputs, permission boundaries, integration, evaluation, human review, failure handling, ownership, and a controlled path to change. DDAI designs those elements with the implementation rather than adding them after the model appears to work.
Suitable pilot patterns
Source-aware internal knowledge workflow
Document classification, extraction, or review
Procurement and supplier evidence workflow
Policy or governance support assistant
Operational reporting and briefing
Customer or staff support triage
Controlled tool-using workflow with human approval
Evaluation and evidence layer around an existing application
Delivery sequence
1. Confirm intended purpose, users, and excluded use
2. Map data, systems, models, suppliers, and permissions
3. Define evaluation and acceptance criteria
4. Design human review, escalation, fallback, and incident routes
5. Build and integrate the bounded workflow
6. Test expected, edge, and failure cases
7. Train the intended users and accountable owners
8. Produce technical, operating, and evidence handover
9. Decide whether to deploy, remediate, extend, or stop
Deliverables
Intended-purpose and scope record
Technical architecture
Data and permission boundary
Model, supplier, and integration dependencies
Evaluation set and acceptance criteria
Human-oversight and escalation workflow
Failure, fallback, and stop controls
Change-control and monitoring plan
User and operator guidance
Known-limitations register
Evidence baseline
Operational handover
Deployment or stop recommendation
Acceptance boundary
A pilot is not described as production merely because it runs. Production requires the customer’s security, identity, data, resilience, support, and acceptance requirements to pass separately.
Evidary route
Suitable pilots can create the first AI Evidence Passport and move into the appropriate recurring Evidary package.
Build one workflow that can survive contact with real operations.
DDAI can help you connect business value, technical implementation, human oversight, and governance evidence from day one.
Scope a governed pilot