AI-Assisted Risk Management Framework Service

The agency is seeking an artificial intelligence-assisted, artifact-centric analysis capability to improve Risk Management Framework documentation quality and reduce rework cycles in research, development, and rapid prototyping contexts. This service must enable Risk Management Framework pre-adjudication, allowing project teams to identify and correct deficiencies before formal cybersecurity reviews. The system must achieve these goals 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 vendor must design the capability to generate structured, confidence-scored analytical feedback that helps research and development teams improve their documentation quality. Additionally, the service must incorporate an explicit human attestation mechanism to preserve accountability and prevent reliance on unreviewed artificial intelligence outputs. Eligible bidders must be onshore organizations based solely in the United States. The agency requires the performance of all work to be conducted offsite. The agency is currently looking for proposals to determine the budget, and no specific key dates or evaluation criteria are provided in the sourcing details.