The evidence behind each production change. Ready when your auditor asks.
Bring approvals, checks, linked work and deployments into one change record. Query the evidence, review exceptions and export the rows for an audit, with retention based on your plan.
Four weeks on one to three repositories. Success metric agreed before the install. Nothing blocks a merge unless you decide it should.
Each control becomes a rule that runs on every change.
Map your change-management controls to rules that check the observed metadata. Results support your review of each control; they do not certify compliance.
The production deployment review was approved by someone other than the person who requested it.
The pull request reached merge with the human approvals its branch prefix requires. Bot approvals never count.
Every pull request links to a Linear, Jira or GitHub work item, and every production deployment traces to a merged pull request.
A successful production deployment shows observed health, smoke or verification evidence.
Merges outside 9 to 6 local time are listed weekly, with the approver, for review.
Changes under paths you name carry an independent approval from an observed code owner.
Kept per change. Exported when asked.
For every production change: the pull request, the approver and whether they were independent, the checks that ran, the linked work item, the deployment and its review. Queryable in plain English, scheduled to Slack or email, exported as CSV.
Plan retention around your audit. Confirm the required observation period and retention with our team before choosing a plan.
Every run kept. A scheduled report keeps each run with its rows, so last quarter’s answer is still there this quarter.
Briefs for the reader. A written summary of one result for the audience that asked, with every claim linked to its evidence row.
One row of 186 this month. Export the month as CSV, or schedule the report to the compliance channel.
Evidence and exceptions, ready for review.
The time saved is the smallest part of the return.
Evidence before the auditor asks. Approver, checks, tests and linked work item on record for observed production changes. Review the exceptions with their underlying evidence and export the rows for the period your plan retains.
Caught at the pull request. Missing approvals, untested changes and scope drift are flagged with their evidence, so reviewers can address the exception before it becomes an incident.
Spend less time rebuilding the history of a change. Query the observed record and share the relevant rows with your reviewers.
What Warestack reads and writes.
The GitHub app uses change metadata and may fetch pull request diffs, workflow definitions and run logs for supported evidence checks. Review provider permissions and data-processing requirements before installation.
Pull requests, reviews, approvals, checks, workflow runs, deployments, branch protection; work item key, title, status and assignee from Linear or Jira.
The Warestack check and one comment per pull request; Slack messages; the Warestack panel on the work item. Only what a chain tells it to.
Review retention, identity, access and infrastructure requirements with our team. Confirm the agreed scope and terms before purchase.
Agree a measurable pilot target before installing, then compare the observed change coverage and reporting effort with your baseline.