Research guide
Position AI, data, and IT work around the buyer's need
Use testable requirements and accountable human review rather than broad AI promises.
By TYR-X · Published · Updated
Define the use case
Describe the user's task, data boundaries, required outputs, integration constraints, security needs, and acceptance criteria. For AI work, include limitations and a review path for consequential outputs.
Match a delivery team
Qualified partners should validate architecture, data handling, engineering effort, testing, and operations. TYR-X supports market research, capture, teaming, proposal coordination, and agreed post-award tracking.
Make risk visible
The NIST AI Risk Management Framework offers a reference for governing, mapping, measuring, and managing AI risks. Use it as a planning resource where relevant, without implying certification or endorsement.
Primary reference
This source informs the topic; the checklist is TYR-X editorial guidance and must be adapted to the specific solicitation and contract.
NIST — AI Risk Management Framework