Your change management process was designed for humans.

Approval, review and segregation of duties all assume a person authored the change. When a coding agent writes most of a pull request, the control still records a human — the person who pressed merge. PromptWake records what actually happened underneath, so the control describes reality again.

Where it matters first

Payment handling, authentication, ledger logic and anything that touches customer money. These are the directories a regulator opens first and the ones where nobody can currently say how much of the code an AI produced.
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Change management that matches reality

Every captured event names the agent, the model where available, the file and the prompt behind the change — attached to the commit that shipped it.

  • Agent and model recorded
  • Prompt kept with the diff
  • Linked to the commit

Segregation of duties, restated

If an agent authored the change and a human approved it, the record shows both. Where the same person did both, it shows that too.

Nothing leaves the bank

Capture is local and self-hosting keeps the whole system inside your own infrastructure. There is no vendor holding your source code in order to tell you who wrote it.

The question comes before the incident

Nobody asks how AI-written code entered a repository until something goes wrong or somebody audits it — and by then the record either exists or it does not. PromptWake is cheap to run before you need it and impossible to reconstruct afterwards.

Questions this sector asks

Does this replace our SDLC controls?

No. It supplies the evidence those controls currently assume. Your approval workflow stays where it is; what changes is that the authorship it records can now be checked.

Our developers use different AI tools. Does that matter?

Only in that the record has to span them. Twenty-four tools are recognised automatically, so a change started in one agent and finished in another remains one continuous history.

Can auditors alter the record?

Nobody can alter it invisibly. Events are chained, so a modified or missing entry breaks verification at a knowable point, and the report says where.

What about secrets in prompts?

Credentials are detected and dropped before anything is written to disk, so the record cannot leak what it never stored.

Your next audit will ask about AI-written code.

It is much easier to have been recording for six months than to reconstruct six months on request.