ISAYQuality SystemsRequest pilot

AI quality gate

Release AI
with evidence.

Turn approved policies and reviewed examples into tests your support-policy or RAG workflow must pass before release.

Request pilotOpen evidence
VERIFIED SIGNALFAILURE SIGNAL

LIVE SYSTEM MODEL / SYNTHETIC RUN

Every decision leaves a trace.

Watch one case travel from approved source to a blocked release. The animation reflects the evidence chain; it is not a decorative progress loop.

RUNTIME / synthetic-support-policy-v1DETERMINISTIC
01 / SOURCEpolicy_v3VERIFIED
02 / RULEidentity-checkCOMPILED
03 / CASErefund-003FAILED
04 / GATEreleaseBLOCKED
source_docs6
cases8
passed5
failed3
CRITICAL FAILURErefund-003

forbidden text + escalation + citation ID

refund_policy_v3#identity-check
RELEASE_GATEBLOCKED

SYNTHETIC DEMO / NOT CUSTOMER RESULTS

METHOD / TRACEABLE BY DEFAULT

Not an AI judging another AI.

The source of truth stays with your company. This sample runs exact-text, escalation-flag, and citation-ID checks first. Your authorized reviewer decides semantic ambiguity. The baseline does not call an external AI judge.

01

SOURCE

Approved policy, rules, and examples

02

CASES

Representative inputs and edge conditions

03

CHECKS

Exact text, escalation flag, citation ID

04

REVIEW

Authorized human resolves ambiguity

05

GATE

Evidence-backed release decision

OUTPUT / AUDITABLE ARTIFACTS

Every failure points back to a rule.

No opaque quality score. Every blocked case carries expected behavior, observed behavior, severity, and provenance.

failure-map.json

What failed, severity, and exact source reference

golden-cases.json

30–50 versioned acceptance cases

baseline.md

Current pass rate and blocked high-risk behaviors

release-gate.ts

Readable checks that fail closed

review-log.csv

Human decisions for ambiguous cases

PILOT CONTRACT / FIXED BOUNDARY

Enough scope to prove value. No platform build.

DESIGN-PARTNER PRICE$500$250 after qualification / $250 on deliveryClock starts after inputs and reviewer are confirmed
INCLUDED

One deployed or piloting AI/RAG workflow

INPUT

Up to 100 redacted outputs + approved sources

REVIEW

One authorized subject-matter reviewer

DELIVERY

Failure map, 30–50 cases, baseline, release gate

TERMS

Five business days, one revision, balance due on delivery

EXCLUDED

Production access, model training, legal certification

STOP RULE

No approved truth or reviewer = no pilot

NEXT / QUALIFICATION FIRST

Start with the failure that matters.

The request page collects qualification details only. It does not accept traces, files, credentials, or confidential policy text.

01 / Approved source material02 / Authorized human reviewer03 / Redacted representative outputs04 / Measurable consequence of failure
QUALIFICATION ROUTE/ai-quality-pilot/apply

Confirm workflow fit, approved source material, reviewer availability, and a measurable release decision.

OPEN PILOT REQUEST