AI-Assisted Risk Management Framework Service

The United States Air Force Research Laboratory is seeking an artificial intelligence-assisted risk management framework service to improve documentation quality and reduce rework cycles in research, development, and rapid prototyping contexts. The agency requires an evaluation of the feasibility of an AI-assisted, artifact-centric analysis capability that enables risk management framework pre-adjudication. This capability must allow project teams to identify and correct deficiencies before formal cybersecurity reviews, without automating authorization decisions or reducing governance rigor. The scope of work requires the service to identify missing, inconsistent, or weak control implementation statements within the documentation. The selected provider must generate structured, confidence-scored analytical feedback to help research and development teams improve their documentation quality. Additionally, the system must incorporate an explicit human attestation mechanism to preserve accountability and prevent reliance on unreviewed artificial intelligence outputs. Eligibility is strictly limited to onshore organizations based in the United States. The agency requires all performance of the work to occur offsite. The agency is currently looking for proposals to determine the budget, and no specific key dates are provided in the solicitation.