Turn Evidence Needs Into Purchase-Time Requirements
Explore how to translate evidence needs into enforceable purchase-time requirements for AI acquisitions in the Department of Defense. This lesson helps you understand how to build defensible contracts by integrating cross-functional inputs and ensuring that vendor commitments can be proven and enforced before deployment. Learn to avoid common procurement pitfalls and design requirements that support safe AI use aligned with organizational controls.
A market-research email thread can feel like harmless momentum. The team has found a promising summarization tool, and the only thing left seems to be funding and a signature. The mistake is treating procurement as a shopping step, where the hard questions can wait until the pilot proves value. In practice, the signature is where the organization quietly commits to data flows, oversight limits, and exit costs, even if everyone keeps calling the work a pilot.
The artifact under discussion is a large language model (LLM), a GenAI text system that predicts the next word to generate text. The team wants it to summarize operational and cyber reports and draft briefings from internal reporting. They have not secured enforceable terms for data use, testing evidence, or exit support. That gap matters because earlier decisions, including the CP-07 test plan and records log, only ...