FixControl
Governed AI

A decision ledger for every AI-assisted action

When an auditor, a customer of your organization or an incident review asks “who approved this, and why?”, the answer should take minutes, not days. When AI proposes a reply, a patch or a deployment promotion, someone on your team approves it — and the decision goes on the record with the evidence behind it.

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Attributable approvalsEvidence kept with the verdictAudit-ready export
Mission control & approvals
The AI mission control center — the agent delegation tree, approval count and a live activity log of every decision and gate.
How it works

From proposal to recorded decision

AI proposes; someone on your team decides; the ledger keeps both.

  1. 01Proposal
    AI proposes an action, with evidence

    A reply, a patch or a deployment promotion arrives as a proposal. The evidence that justifies it is laid out for someone on your team to read before anything happens.

  2. 02Decision
    Someone on your team decides where they already work

    Approvers act from Slack or Teams approval cards, or in the FixControl app. The verdict is captured at the moment it is made, along with the channel it came from.

  3. 03Ledger entry
    The decision becomes a ledger entry

    On a verdict, FixControl writes the entry: the approver and their role, the exact text, diff or action approved, and the evidence in front of them at that moment.

  4. 04Consequence
    What happened next is recorded too

    The outcome of the approved action lands in the same entry. Months later, you can see not only that a change was approved but what it caused.

What the ledger captures

Six questions every entry can answer

Each entry is built to answer what an auditor or an incident review will actually ask.

Who approved, and in which role

Every entry names a person and the role they acted under. When someone asks who signed off on a change, the ledger has a name and a role.

Where the decision came from

Slack, Teams or in-app: the ledger records which channel each verdict arrived through. Provenance is part of the record.

What the approver saw

The evidence presented at the moment of decision is stored with the verdict. A later reviewer reads exactly what the approver read.

What was approved, verbatim

The entry captures the final reply text, the code diff or the action itself. There is no summarizing step between what a person approved and what the ledger says they approved.

What followed

The outcome of the action is recorded alongside the decision. The ledger closes the loop between an approval and its effect.

A timeline people can read

An operational timeline tells the story of a mission in plain terms, kept separate from raw agent traces. Reviewers get a readable account, and the traces stay available for debugging.

Audit readiness

Built to be reviewed after the fact

What an entry looks like
A single entry reads like a report — a fictional but representative example: customer reply — sent; approved by a support lead on your own team, from Slack, at 14:02, after reviewing the final text and the ticket history. By default, nothing ships without a recorded human decision; any autonomy is explicit, opt-in, policy-bounded and audit-logged. The ledger is structured for export, so an auditor can follow any action back to the person and evidence behind it.
FAQ

Questions auditors and security teams ask

How is this different from logging what an agent did?+
Logs record activity after the fact. The ledger records decisions: a person approved a specific action, on specific evidence, at a specific moment. You audit choices, not just events.
What exactly is recorded for each decision?+
Who approved, the role they held, the channel they approved from, the timestamp, the evidence shown, the exact text, diff or action approved, and the consequence that followed.
Where do people approve?+
In Slack and Teams approval cards, or in the FixControl app. The channel is part of each entry, so you can tell whether a verdict came from a chat card or the console.
Why keep a timeline separate from agent logs?+
Raw traces are written for debugging. The timeline is written for the people reviewing the work: who did what, in what order, and why. An audit should not require reconstructing a story from log lines.
Can the ledger be exported for audit?+
Yes. The ledger is structured for export and after-the-fact review, and each entry carries enough context to stand on its own.
Does any action ever skip approval?+
By default, nothing ships without a recorded human decision. Any autonomy — such as the policy-scoped low-risk email auto-send mode — is explicit, opt-in, policy-bounded and audit-logged, and every send still lands in the ledger.
Keep exploring
Approved replies

Draft with AI, approve the exact text that gets sent.

Deployment governance

Hold promotions at a gate until a person approves.

Slack integration

Approval cards and decision capture in the thread.

See a ledger entry end to end

Book a demo: approve a real action, then open the entry it produced — evidence, verdict and consequence.

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