Independent release assurance

Ship with evidence.
Not confidence alone.

SignoffOps reviews high-risk software changes with AI, then routes uncertain cases to an independent expert—before they reach production.

Complements your existing GitHub or Azure DevOps workflow.

  • Your existing workflow stays
  • No production credentials
  • Human escalation
RELEASE DECISION Checkout service · PR #482
HOLD
Risk score 84 / 100
!
Rollback path is unproven

Schema change is not backward-compatible with the previous application version.

Expert escalation required

Database reliability reviewer assigned with the relevant evidence bundle.

AI triage complete Independent review pending

CI passed

Release is safe

That gap is our job.

The assurance gap

Your team can generate more code than it can confidently approve.

Automation can tell you what passed. It rarely tells you what nobody thought to test.

01

AI review is not independence

The same team can run more tools, but it still owns the assumptions and blind spots behind the change.

02

Green checks prove a narrow claim

Tests prove the scenarios they cover—not rollback safety, operational readiness, or missing evidence.

03

Internal review shares context

Familiarity makes teams faster, but it also makes hidden assumptions harder to see before release.

Not another DevOps platform

Your platform verifies the workflow. SignoffOps verifies the release decision.

GitHub and Azure DevOps enforce the rules your team has configured. SignoffOps examines whether those rules—and the evidence behind them—are sufficient for the specific risk of this release.

GitHub or Azure DevOps Technical evidence Independent release decision

YOUR EXISTING PLATFORM CONFIRMS

The configured process passed.

  • Required checks were completed
  • Automated tests passed
  • Assigned reviewers approved
  • Merge and deployment policies were satisfied

SIGNOFFOPS ADDS

The evidence is sufficient for this release.

  • Change-specific risk assessment
  • Detection of missing or insufficient evidence
  • Rollback and operational-readiness review
  • Independent specialist escalation
  • A clear, auditable decision record

Keep your existing pipeline. Add independent assurance only where the cost of failure justifies it.

GitHub tells you whether your configured controls passed. SignoffOps determines whether those controls were enough.

How it works

One release decision. Four disciplined steps.

  1. 01

    Submit the change

    Share a non-sensitive pull request and the release context. Production access is not required.

    YOUR TEAM
  2. 02

    Assemble the evidence

    AI maps the change surface, checks supplied evidence, and flags unsupported safety claims.

    AI TRIAGE
  3. 03

    Escalate real uncertainty

    High-risk or ambiguous findings go to an independent specialist matched to the problem.

    EXPERT REVIEW
  4. 04

    Receive a decision record

    Get a clear Proceed, Proceed with conditions, or Hold decision—with reasons and evidence gaps.

    SIGNOFFOPS

Why independent

A second opinion is valuable only when it is genuinely outside the delivery pressure.

SignoffOps separates evidence collection from final judgment. Automation handles repeatable analysis. Qualified specialists handle consequential uncertainty.

AI

AI does the exhaustive work

Change mapping, checklist coverage, evidence extraction, risk routing, and report preparation.

H

Experts make the hard calls

Specialists examine context, challenge assumptions, and resolve high-impact ambiguity.

S

SignoffOps preserves the record

Decision rationale, evidence gaps, reviewer scope, and the conditions required to proceed.

See the method before you trust it

Five risky changes. Public evidence. No sales theatre.

Our public repository contains deliberately flawed release scenarios so your team can inspect how the review workflow behaves before sharing a real change.

Open the GitHub demonstration
risk-analysis
$ signoffops assess PR-05

change_surface   authentication
risk_level       HIGH
evidence_status  INCOMPLETE
decision_route   EXPERT_REVIEW

→ Evidence bundle prepared
→ Security specialist requested

The direct answer

Isn’t this already available in GitHub or Azure DevOps?

Those platforms execute checks, collect approvals, and enforce the policies your team has configured.

SignoffOps is the independent assurance layer above them. It consumes their evidence, identifies what may be missing, and routes unresolved release risk to the right specialist.

It does not replace your DevOps platform. It makes high-risk release decisions more defensible.

Founding pilot

Put one real release decision through the system.

Bring a non-sensitive pull request. We will agree the review scope and turnaround before you share access.

  • Structured risk report
  • Evidence-gap analysis
  • Expert escalation where justified
  • Clear decision rationale

Do not submit credentials, source code, or other confidential information in this form.