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Quant Assurance Framework (QAF)

Your AI agents can build faster than you can verify.

Your system can pass every check and still be wrong. QAF finds the gap between what the software claims, what the tests prove, and what production actually does before that gap becomes a costly decision.

False confidence compounds

Three ways a clean result can still be wrong.

Speed is useful. Self-confirming evidence is not. QAF looks for the seams where apparent completion stops tracking production truth.

  1. 01 / SAME AUTHOR

    The same AI system creates the implementation, tests, documentation, and completion claim.

    Agreement across artifacts can be shared bias, not independent confirmation.

  2. 02 / SUBSTITUTE PATH

    Green checks omit or substitute the real production path.

    A passing helper, fixture, or mock can conceal the path users and operators actually depend on.

  3. 03 / SEMANTIC DRIFT

    Software executes successfully while the result means something different from its label.

    Runtime success cannot prove that a calculation, state, or decision retains its intended meaning.

How QAF works

An evidence chain with explicit authority.

Each stage separates what was claimed, what was inspected, what was found, and what—if anything—is authorized next.

  1. 01

    Bind scope, claim, and revision.

    Freeze the statement under review and the exact artifacts expected to support it.

  2. 02

    Inspect controls, evidence, skips, and bypasses.

    Trace canonical owners, test boundaries, production paths, and missing or substituted proof.

  3. 03

    Deliver canonical findings and a prioritized roadmap.

    Consolidate contradictions and control gaps into one decision-ready register.

  4. 04

    Separately authorize implementation and production proof.

    Keep remediation and live verification distinct from the assessment claim.

Assessment deliverables

A bounded answer your team can act on.

  • 01

    System and responsibility map

    Canonical owners, trust boundaries, and critical seams.

  • 02

    Test-confidence analysis

    What the suite proves, assumes, substitutes, or omits.

  • 03

    Production-path and evidence gaps

    Where shipped behavior escapes current proof.

  • 04

    Evidence-backed finding register

    Severity, source evidence, affected claim, and consequence.

  • 05

    Prioritized implementation roadmap

    Sequenced control work without implied authorization.

Fit filter

Use QAF where being plausibly right is not enough.

Good fit
  • AI agents or copilots materially create or change production software.
  • Failure can affect customer money, sensitive data, operations, diligence, or important decisions.
  • The team has green checks but cannot clearly state what production claim they prove.
  • Leaders need an evidence-backed roadmap before authorizing more implementation.
Poor fit
  • You want an automatic badge, broad certification, or a guaranteed result.
  • You are seeking a free code review, quick estimate, or unbounded architecture opinion.
  • No one can provide a bounded system, claim, repository revision, or accountable owner.
  • The software has no meaningful consequence and normal engineering review is proportionate.
Commercial ladder

Assessment first. Every next step is explicit.

Pricing is paid, scoped after intake. An assessment does not quietly become an implementation retainer.

  1. 01 / ENTRY

    Paid Assessment

    Bounded scope, evidence inspection, canonical findings, and a prioritized roadmap.

  2. 02 / SEPARATE AUTHORIZATION

    Implementation

    Selected roadmap work begins only under a distinct scope and authorization.

  3. 03 / OPTIONAL

    Managed Assurance

    Ongoing control maintenance and proof can follow where the operating risk warrants it.

Explicit exclusions

What QAF is not.

  • Not a certification.
  • Not a penetration test.
  • Not a legal or compliance opinion.
  • Not an outcome guarantee.
  • Not strategy validation.
  • Not a free code review.
FAQ

Before you apply.

Is the assessment a free code review?

No. The assessment is a paid, scoped engagement. Intake establishes fit and the boundary to examine before a proposal is prepared.

Do you need write access to our repositories?

No. Assessment work begins with the least access needed, normally read-only. Credentials, source code, datasets, and repository invitations should not be sent through this form.

Does QAF certify our software?

No. QAF produces bounded findings and evidence about the reviewed scope. It is not certification, a legal or compliance opinion, or an outcome guarantee.

Can you implement the roadmap?

Potentially, but implementation is a separate authorization after the assessment. Production proof is also explicit rather than assumed from implementation completion.

What happens after I apply?

A human reviews the application. Strong-fit applicants receive a technical questionnaire and, when useful, an invitation to a qualification call.

How quickly will I hear back?

After application delivery is enabled, expect a human response within two business days. There is no automatic acceptance, rejection, or scheduling.

Assessment application

Show us the consequence, not your secrets.

This local preview does not deliver applications. Once enabled, each submission receives human review before any questionnaire or call invitation.

Do not send credentials, source code, datasets, or repository access.

Describe the system and consequence at a high level. Access is discussed only after qualification.

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