AI assurance concept

ModelProof

A reserved portfolio surface for ongoing work around evidence, evaluation, and trusted model-assisted workflows.

Focus

Model assurance concept

ConceptAI evaluationProvenance

ModelProof

EvaluationProvenanceReview

ConceptNot implemented

Wireframe of a proposed system

Eval passes—

Claims traced—

Coverage—

Reviewer load—

Evaluation harness (proposed)

Faithfulness suiteFraming sketched, no harness

—

Provenance integrityDepends on chain design below

—

Refusal boundariesQuestion list only

—

Regression sweepPlaceholder — unscoped

—

Review boundary (proposed)

Model claim + evidence

Human review boundary

Reviewer sign-off — undefined

Open questions

Scope

Which claim types need evidence

Review

Where human sign-off must sit

Provenance chain (proposed)

Sourceunbound

Transformunbound

Claimunbound

Evidenceunbound

No chain instantiated

Concept · not implemented

Interactive rendition · sample data

The challenge

Teams need a clearer way to understand what a model output is based on and where its confidence should stop.

The approach

Treat the concept as an evidence and review problem rather than a claim of completed benchmark infrastructure.

Define the evidence model and implementation surface before presenting completion claims.