Bring Proof of Reliability to AI RFPs
RFP buyers want more than feature claims. ProofMap helps vendors show how AI behavior is evaluated and controlled.
Get StartedWhy Choose ProofMap
Show test methodology
Explain how objectives, prompts, models, and tool use are evaluated.
Show governance controls
Document approved runtime mappings, fallback policies, and MCP access boundaries.
Show improvement loop
Demonstrate how failures become regression tests and qualified fixes.
Comparison
| Moment | Without ProofMap | With ProofMap |
|---|---|---|
| Evidence request | Teams assemble screenshots, anecdotes, and raw logs after the question arrives. | Qualification reports show prompt, model, tool, fallback, and approval evidence. |
| Production change | Prompt, model, schema, or permission changes are reviewed informally. | Changes run through objective-bound evaluations before promotion. |
| Business pressure | Audits, launches, renewals, and customer escalations force rushed AI decisions. | Teams use existing tests and approved mappings to respond with confidence. |
| Developer workload | Developers chase failures across transcripts, tools, providers, and one-off integrations. | Failures become repeatable tests with clear evidence and approved fixes. |
Frequently Asked Questions
Why include ProofMap evidence in RFPs?
It helps buyers understand that AI behavior is tested and controlled, not just demonstrated in ideal examples.
Does this help technical evaluators?
Yes. It gives technical reviewers concrete evidence about quality, control, and change management.
What makes this useful for developers?
It turns AI behavior changes into repeatable tests, reduces manual investigation, and provides concrete evidence for prompt, model, MCP, and runtime decisions.
What does ProofMap produce?
ProofMap produces objective-bound evaluations, failure evidence, recommendations, and approved prompt or runtime mappings for production use.