FixControl
Governed AI

Every AI-assisted action needs a decision ledger

FixControl is the governance layer for AI-assisted support and engineering — not a generic agent. Each meaningful action records who approved, which role, which channel, what evidence was shown, what was approved and what followed.

See approval governanceTalk to us
Attributable approvalsEvidence frozen with the verdictAudit-ready export
How it works

From proposal to a recorded decision

The AI proposes; a person decides; the decision and its consequence are written down.

  1. 01Proposal
    AI proposes an action with evidence

    Whether it is a reply, a patch or a deployment promotion, the action arrives as a proposal — with the evidence that justifies it laid out for a human to read.

  2. 02Decision surface
    A person decides on a governed surface

    Approvers act from where they work — Slack and Teams approval cards, or in-app — so the decision is captured at the moment and place it is made.

  3. 03Ledger entry
    The decision is frozen into the ledger

    On a verdict, FixControl records who approved, their role, the channel, the timestamp, the evidence shown and the exact text, diff or action approved.

  4. 04Consequence
    The outcome is recorded too

    What actually happened after approval is captured alongside the decision, so the ledger reflects consequence, not just intent.

What the ledger captures

The full shape of a governed decision

Each entry answers who, under what role, from where, on what evidence, of what — and to what effect.

Who approved, and which role

Every entry names the actor and the role they acted under, so an approval is attributable — not an anonymous machine action.

Which channel the decision came from

The ledger records whether a verdict arrived via Slack, Teams, the in-app surface or another channel — the decision's provenance is part of the record.

What evidence was shown

The evidence presented at the moment of decision is frozen with the verdict, so a later reviewer sees what the approver actually saw.

What was approved — text, diff or action

The exact final reply text, code diff or action that was approved is captured, not a vague summary of it.

What consequence followed

The outcome of the approved action is recorded alongside it, closing the loop between a decision and what it caused.

Timeline, separate from raw logs

An operational timeline tells the human story of a mission, kept distinct from raw agent traces — readable for governance, not just for debugging.

Governed by design

Governed AI, not autonomous agents

Decision ledger and audit readiness
Every meaningful AI-assisted action is gated by a human approval and frozen into a decision ledger — the approver, their role, the channel, the timestamp, the evidence shown, the exact text, diff or action approved, and the consequence that followed. An operational timeline keeps the human story separate from raw agent traces, and the ledger is structured for export and after-the-fact audit.
FAQ

Common questions

How is this different from a generic AI agent?+
A generic agent acts and you hope the logs explain it later. FixControl gates meaningful actions behind human approval and freezes each decision — actor, role, channel, evidence, what was approved and the consequence — into a ledger. It is governed AI, not autonomous agents.
What exactly is recorded for each decision?+
Who approved, which role they held, which channel they approved from, what evidence was shown, the exact text, diff or action approved, and the consequence that followed.
Where do people approve?+
From governed surfaces — Slack and Teams approval cards, or in-app — so the verdict is captured where and when the decision is made, with its channel recorded.
Why separate a timeline from agent logs?+
Raw agent traces are for debugging. The operational timeline tells the human-readable story of who did what and why, so governance and audit don't have to reconstruct it from logs.
Is the ledger built for audit and export?+
Yes. The decision ledger is structured to be exported and reviewed after the fact, so an auditor can follow each action back to the person and evidence behind it.
Does any meaningful action skip approval?+
No. A meaningful action — a customer reply, a code change, a deployment promotion — requires a human approval and produces a ledger entry. That is the design, not a configurable bypass.
Keep exploring
Approved replies

Draft with AI, approve exactly what gets sent.

Deployment governance

Approve deployments with evidence, gates and rollout-aware visibility.

Slack integration

Approval cards and decision capture where your team works.

See governed AI in action

Walk through approval cards, the decision ledger and the operational timeline on a live demo.

See approval governanceTalk to us