Guides, templates, and articles to help your committee run a defensible evaluation, with or without PropEval AI.
A walkthrough of the FAR Part 15 source-selection process, the evaluation factors tradeoff process, and where AI-assisted evaluation fits without compromising procedural integrity.
A ready-to-adapt template for evaluation criteria, weights, rating scales, and mandatory requirements. Use it as a starting point before AI extraction, or to sanity-check what PropEval AI proposes.
A 30-minute webinar on how to use divergence scoring to focus committee discussion, reconcile scores efficiently, and document consensus for a protest-defensible result.
A checklist of the records your audit trail should contain at award: framework, individual scores, consensus scores, overrides, comments, and the final ranking and recommendation.
Peer scores stay hidden until consensus in PropEval AI. Here's why that matters under FAR Part 15.
How a federal evaluation committee used AI framework extraction and consensus reconciliation to complete a source selection in a single week.
The records that protect your award when it's challenged, and how PropEval AI captures each one automatically.
PropEval AI prepares, analyzes, and surfaces, but evaluators score and the chair reconciles. Here's the design philosophy behind that boundary.
Arrange a free pilot for one live evaluation, and we'll walk your committee through every step.