BRILLIANT QUEST
Governance

Useful AI knows what it doesn't know.

Evidence before authority. Brilliant Quest is designed so that uncertainty stays visible and conclusions can always explain where they came from.
Claim states

Every claim carries its state.

Observed

Noticed, not yet structured.

Captured

Structured claim with a named source.

Disputed

Conflicting evidence. Both accounts kept visible.

Verified

Supported by evidence and validation.

Proposed

Future state. Never mixed with current truth.

Validation gate

We do not use model confidence as proof.

A model may propose a conclusion. It cannot promote one. Try it.
Model proposes

Promote CLM-0311 “All supplier invoices are matched to POs” → Verified

model confidence: 0.94

VALIDATION GATEBLOCKED · no evidence
Current Truth

Unchanged. Claim remains Unverified.

We do not use model confidence as proof.
Deterministic validation

Where data can answer, data answers.

Stakeholder statementCaptured

“Purchasing always gets the design pack from Asana.”

Structured claimCaptured

CLM-0142 · Purchasing.input ← Asana.design_pack

Supporting evidenceValidation required

2 interviews · Asana export · 41 sampled tasks

ValidationValidation required

Deterministic probe · 38 / 41 matched

Verified Current TruthVerified

Verified with known exception: urgent orders via email

probe / linkage-check / orders↔goods_in
read-only
Question

Does project_id reliably connect Orders and Goods In?

Orders · rows
0
0 missing IDs
Goods In · rows
0
17 missing IDs
Matched
0
joined on project_id
Unmatched
0
no counterpart order
Linkage coverage0.0%
98.6% linkage coverageInvestigate 59 records

Read-only by default

Investigation inspects systems. It does not change them.

Human approval

Promotions and actions that matter require a named person to approve.

Auditability

Every claim, change and decision keeps a path back to its source.

Current and future kept apart

Current State and Future State are separate models. Proposals never overwrite truth.

Discuss governance with our team.

We'd value your view on how your organisation needs AI evidence, approval and audit to work.