Federal / Audit / Finance
Leveraging Retrieval Augmented Generation (RAG) AI to Power Outcome-Based Contracting
Exact public inventory row
Description
The AI is intended to solve the problem of federal acquisition teams struggling to write clear, concise, outcome-based requirements, which often leads to incomplete or undesirable contract outcomes and higher costs. This experimental effort aims to determine if an AI-powered assistant can provide coaching and feedback on drafting such requirements with accuracy and reliability comparable to experienced human facilitators, thereby reducing reliance on limited Subject Matter Expert availability.
AI / analytics pattern
Generative AI
Automation level / stage
a) Pre-deployment - The use case is in a development or acquisition status.
Expected benefit
Efficiency, productivity, service quality
Controls / human review
Inventory row should be validated against agency governance and M-25-21 controls.