AI change control

Ship AI-written code without losing control.

AI coding tools can open more pull requests than teams can safely track. Abizor does not just check the PR. It preserves the change state behind the PR: intent, scope, facts, receipts, replay, and readiness from first change to merge.

Run the CI proof Email support See how the gate works

Pull requests AI changes keep context

Change state intent, scope, receipts, replay

Team control clear stop reasons, not guesswork

Self-serve proof GitHub Actions on a real PR

The risk

AI coding creates PR volume faster than teams can control it.

The problem is not that agents write bad code. The problem is that delivery state gets scattered across chat, terminal output, repair branches, restarts, review comments, and CI runs.

A pull request can look ready while the team has lost track of what changed, why it changed, whether the patch still matches the guarded evidence, and whether the agent stayed inside the intended scope.

Why branch protection is not enough

Required checks do not know what the agent was supposed to do.

Branch protection checks whether required checks passed. Abizor checks the AI change process around the PR: intent, scope, patch evidence, receipts, replay, repair state, and readiness.

Required checks tell you whether CI passed. Abizor tells you whether the AI change is still the change you meant to ship.

Current proof boundary

Proven in GitHub Actions on a real pull request.

Abizor ran in GitHub Actions on an existing PR, verified the diff, tests, and checks, reached the merge boundary, and uploaded a replayable event log.

The proof did not create or merge the PR and did not use a hosted app, API, dashboard, billing flow, or GitHub App.

Run the GitHub Actions quickstart Read the proof record

What Abizor does

A control layer for AI change state.

Preserve change state

Track intent, scope, branch facts, changed files, and the current decision.

Verify receipts

Match patch plans, guarded patch evidence, apply receipts, checks, and readiness.

Enforce scope

Stop scope drift, patch mismatches, stale facts, and unsupported delivery steps.

Explain the next step

Give the team one concrete reason and one concrete action when work is not ready.

Readiness gate

Do not merge because the agent sounds confident.

Abizor treats agent output as work to verify, not as permission to ship. AI agents can write the patch. They should not become the authority for what the change means.

PR is not ready to merge.

Why:
  The patch receipt does not match the guarded patch evidence.

Next:
  Repair the patch evidence, then evaluate readiness again.

Who it is for

Built for teams that need speed without losing control.

Maintainers

Keep AI pull requests understandable, bounded, and safe to review.

Platform teams

Protect shared repositories from hidden state loss and uncontrolled delivery steps.

AI-heavy teams

Let agents do more work without turning every PR into process debt.

Engineering leaders

Adopt AI coding with a control layer your team can explain and trust.

Self-serve first

Start with one repository.

Abizor is a self-serve control layer for AI change state. Install it in CI, run it on one repository, and use email support if you need help. Founding access starts at $999/month. Multi-repo teams use organization pricing. No sales call is required.

Install in CI

Run the CI proof Preserve intent and scope Founding access starts at $999/month Organization pricing for multi-repo teams Match patch receipts Email support

Hosted product

Public site now. Hosted app and API later.

abizor.dev is the public website.

app.abizor.dev and api.abizor.dev are reserved for the future hosted product.

They are not live customer access points yet. Start with the CLI/CI proof. If automated access is not ready, email for access. No sales call is required.

View hosted status