Automated changelogs
Release notes generated from conventional commits and pull request titles, grouped by change type, then reviewed by a human before publication.
Delivery Automation
Releases that ship on a schedule, with records an auditor can follow.
The work
Compliance asks a simple question: what changed, who approved it, and where is the evidence. Most teams answer it badly, by reconstructing a timeline from chat history the week before an audit. We automate the record so it is produced by the release process itself rather than assembled afterwards.
Versioning, changelog generation and release notes come from the commits and merged pull requests you already write. Approvals attach to the same change record, with separation between the person who built the change and the person who signed it off, which is exactly what most control frameworks want to see.
Scope
Every engagement on this page covers the following, sized to your setup rather than delivered as a fixed package. If something here is not relevant to you, it comes off the scope and off the price.
Release notes generated from conventional commits and pull request titles, grouped by change type, then reviewed by a human before publication.
Approvals routed to the right reviewer with separation of duties enforced, so the person who wrote a change cannot also be the one who blesses it.
A written rule for major, minor and patch increments, applied automatically to tags and package manifests, so the version number means something predictable.
Every release records the ticket, the approver, the commit range and the deployment timestamp, exportable as evidence for SOC 2, ISO 27001 or a customer security review.
Planned change freezes for peak trading or audit periods, enforced by policy rather than by asking everyone to remember the date.
Lead time, change failure rate and release frequency reported per team, turning the numbers compliance asks for into something engineering can improve.
What changes
Handover
Everything produced during the engagement is yours: the repositories, the accounts, the documentation. There is no proprietary layer and nothing to unlicense if you take the work in-house.
Tooling
A starting point, not a requirement. We work in whatever you already run wherever it does the job.
How it runs
The same four steps on every engagement. You see each one before it starts and can stop at any of them.
We trace a change from ticket to production and record every approval, handoff and manual note currently required to prove it happened.
Working with compliance and engineering, we decide which changes need approval, who may approve, and what evidence each stage must leave behind.
Versioning, changelog generation and approval capture are wired into the pipeline, so the evidence is a by-product of shipping rather than extra work.
We pick a real release and walk it through end to end, producing the evidence pack an auditor would request, then fix whatever is missing.
Questions
Only where your control framework requires them. Low-risk changes to a service in a non-production environment can pass automatically, while payments code or production data migrations carry a named approver. The matrix is written down so nobody argues case by case.
Yes. We link releases to whatever tracking tool you already use, whether that is Jira, GitHub Issues or something homegrown. The pipeline reads the ticket reference from the branch or pull request, so engineers keep working the way they already do.
The evidence trail is usually usable within a release or two, but passing an audit depends on the controls themselves, not just the reporting. We can tell you which gaps remain, and we will not claim readiness for a framework we have not seen you meet.
Yes, that is the point. Frequent small releases are easier to approve and easier to reverse than a monthly bundle. The control is in the record and the gate, not in the frequency, so nothing here requires you to slow down.
Delivery Automation
Automated build, test and deploy pipelines that turn every commit into a repeatable, auditable release.
Git becomes the single source of truth for what runs where — with progressive rollouts and instant rollback.
Continuous evidence collection instead of a quarterly fire drill — audit trails generated by your pipeline.
Bring the specific problem. We will tell you honestly whether this is the service that fixes it, and what it would take.