
AI-generated illustration. Permission to use an AI coding tool is not permission to bypass a release gate. A waiver requires independent approval for a specific candidate.
An AI code review exception policy should separate permission to use a coding tool from permission to bypass a release gate. A waiver should require a named owner, enough evidence for an independent approver to assess a bounded risk, and approval limited to a specific release. It also needs an expiry and proof of closure.
A missing check is not a passing check. Nor is it necessarily a failed check. The distinction determines whether to fix the code, obtain substitute evidence, document that a control does not apply, or stop the release.
This is a proposed policy template, not a compliance standard. Set authority levels and risk thresholds before a release is blocked, rather than negotiating them under delivery pressure.
Classify the gate before considering a waiver
Keep the original gate status separate from the release decision. An exception may authorize a release while the check remains failed or unavailable.
| Gate state | What it means | Required response | Exception path |
|---|---|---|---|
| Failed | The check ran and found a violation of its acceptance criteria. | Identify the finding, affected behavior, and potential impact. | Accept a known, bounded residual risk only within a preapproved waiver category. Otherwise fix and rerun. |
| Unavailable or inconclusive | The check did not run, could not complete, or produced no trustworthy result. | Identify what remains unknown and obtain relevant substitute evidence. | Proceed only if that evidence supports a defensible risk assessment. An outage alone is not grounds for approval. |
| Not applicable | The control's documented applicability rule excludes this change. | Show why the rule excludes the exact change. | Record an authorized applicability determination, not a risk waiver. |
| Passed | The check completed successfully for the release candidate. | Retain the result and its artifact or commit reference. | No exception is needed for that gate. |
A false-positive claim also needs evidence. Keep the finding visible until an authorized reviewer resolves it.
Likewise, “this is only a refactor” does not make a security check inapplicable. Follow the control's criteria, not the author's description of the work.
Assign authority by risk, not delivery pressure
Define three responsibilities:
- Change owner: Requests the exception, explains the change, collects evidence, and completes remediation. This must be a named person, not the AI tool.
- Control approver: Has authority to judge the affected control and did not author the change or request the waiver. Assesses whether the evidence supports the exception.
- Release authority: Decides whether to ship within the approved conditions. Cannot override the control approver's refusal.
For an ordinary quality gate, an independent engineering reviewer might approve the exception. Security, privacy, and data-integrity controls should go to the designated owner of that risk. Name approvers and delegates in advance.
A small team may combine control approval and release authority in one qualified, independent person. The requester must not approve their own waiver. If no qualified independent approver is available, neither is the exception path.
Tool approval asks, “May this team use this tool under these conditions?” A release waiver asks, “May this exact candidate ship despite this specific unmet control?” Neither substitutes for the other.
Set non-waivable boundaries
The proposed policy should prohibit waivers when any of these boundaries is unmet:
- Release identity: The exact artifact and change set must be identifiable.
- Accountability: A named owner and independent approval are required, regardless of the deadline.
- Binding requirements: A team-level waiver cannot override a legal, contractual, or organization-mandated requirement. Any permitted exception must follow that requirement's established authority and process.
- Hard-stop findings: Findings in prohibited release categories must be resolved through remediation, not accepted through this process. Possible categories include confirmed exposed credentials or a demonstrated authorization bypass.
- Sufficient evidence: Reviewers must be able to identify the affected surface and assess plausible impact. Otherwise, they cannot treat the unknowns as a known residual risk.
Define hard-stop categories in the standing policy. An individual waiver must not invent a more convenient severity threshold.
An emergency procedure may expedite routing and response times. It should not silently remove these boundaries.

AI-generated illustration. The proposed policy separates the deadline for using release approval from the deadline for remediation. Expiry ends authorization; closure still requires evidence and independent confirmation.
Limit each waiver to one release
A waiver should cover one identified release candidate, one gate, and one stated deviation. It should not authorize “AI-generated code,” an entire repository, or future releases generally.
Require two deadlines:
- Approval-use deadline: The last time the identified candidate may be released under this approval.
- Remediation deadline: When the underlying issue must be corrected and closure evidence submitted.
Approval becomes invalid sooner if the artifact changes, deployment scope expands, a compensating control stops working, or new evidence materially changes the risk assessment. Even a supposedly unrelated edit requires a new assessment of the changed candidate.
Expiry does not undo a deployment. For a deployed release, specify what happens if remediation is overdue: escalation, restrictions on further rollout, disabling the affected capability, or another approved response. Name the responsible person and observable trigger. “Roll back if needed” is not enough.
Do not carry waivers forward automatically. A later release or extension requires a fresh record, current evidence, and independent approval. Link prior exceptions so repeated use remains visible.
Copy-ready waiver record
Keep this record in the release or change-management workflow, with the original check result attached.
Exception ID:
Linked prior exceptions:
Change owner:
Independent control approver:
Release authority:
Release candidate / artifact digest:
Included commits:
Deployment scope and environment:
Affected control and required acceptance criteria:
Original state: failed / unavailable / inconclusive
Reason for requesting an exception:
Finding, or evidence that is missing:
Affected behavior and plausible impact:
Non-waivable boundary review:
Evidence reviewed, with links and artifact references:
Substitute or compensating checks and their results:
What those checks do not establish:
Residual risk being accepted:
Release conditions and rollout limits:
Stop conditions and responsible responder:
Recovery action and supporting evidence:
Approval decision, rationale, approver, and timestamp:
Approval-use deadline:
Events that invalidate approval:
Remediation owner and deadline:
Required response if remediation is overdue:
Closure evidence:
Original control restored and successfully rerun:
Remediation verified for the affected change:
Temporary bypass or exemption removed:
Independent closure confirmation and timestamp:
For a genuine non-applicability decision, use a separate record containing the release identity, applicability rule, supporting evidence, and authorized reviewer. There is no waived failure to remediate. Reassess the determination if the change or scope changes.
Worked example: an unavailable browser check
Hypothetical assumptions: A team plans a presentation-only change to an internal reporting page. Its required browser regression service is unavailable. The diff changes no authorization logic, dependencies, or data writes, and the standing policy permits substitute verification for this category of change.
The owner requests an exception for one candidate artifact and provides:
- A reviewed diff supporting the claimed scope.
- Successful local build and unit-check results tied to that candidate.
- Manual checks in an isolated test environment using synthetic records, covering the affected page states and interactions.
- A stated limitation: these checks do not cover every browser configuration in the unavailable service.
- A staged rollout plan with defined stop conditions and a responsible responder if rendering problems appear.
The independent approver can assess a specific coverage gap. They might authorize the candidate until the end of the scheduled release window, require automated verification once the service returns, and set a fixed remediation deadline with an overdue response.
The basis for that decision is relevant substitute evidence with explicit limits, not simply that the change seems small.
If review reveals that the change also alters permission filtering, the approval no longer fits its assumptions. Stop and reassess the relevant controls. Rendering checks cannot establish that access restrictions are correct.
Close with proof, not a calendar event
Expiry ends authorization. Closure demonstrates that the exception has been resolved.
Before closing a waiver, require evidence that:
- The underlying failure or verification outage has been addressed.
- The original control is enabled and has successfully rerun on the affected change, or an approved successor containing its remediation.
- Differences between the authorized artifact and the closure artifact are explained.
- Temporary bypasses, allowlist entries, and release exemptions have been removed.
- Compensating measures have been retired or explicitly retained with an owner.
- An independent reviewer has accepted the closure evidence.
Permanently replacing the original control is a control-policy change requiring separate approval, not routine waiver closure.
Before adopting the template, walk one past blocked release through it. Can the record show what was known, what remained untested, who accepted the risk, and what proved restoration? An answer that depends on someone's memory identifies a missing field or responsibility.
For a next step in your AI coding tool evaluation, explore OpenThunder.