FixControl
Support → engineering

Turn support tickets into governed engineering fixes

A support report becomes a governed mission: FixControl analyzes the issue and the codebase, proposes a patch, runs tests, QA and security checks, and gates risky changes behind human approval — with PR evidence and a full audit trail.

See support-to-engineering demoTalk to us
Patch as reviewable diffRisk gates for sensitive areasHuman stays in control
How it works

From a ticket to a reviewed, gated patch

Each step produces evidence; the meaningful decisions stay with people.

  1. 01The report
    A customer or agent reports a problem

    A support conversation surfaces something that looks like a defect, not just a question — captured in Freshdesk, Jira or as a FixControl issue.

  2. 02AI mission
    A mission analyzes the issue and the codebase

    FixControl opens a governed mission that reads the ticket alongside the bound codebase, working to locate the likely cause rather than guessing in the dark.

  3. 03Proposed patch
    It proposes a patch — a diff to review

    The mission drafts a concrete change as a diff. Nothing is merged or shipped; the patch is a proposal for a human to inspect.

  4. 04Checks
    Tests, QA and security checks run

    The proposed change runs through tests, QA review and security checks. Evidence from those checks travels with the patch into review.

  5. 05Approval gates
    Risky areas wait for a human gate

    Changes touching sensitive surfaces — payments, data-loss paths, deployment — pause at an approval gate. A person decides, on the record, before anything proceeds.

What you get

Remediation that stays accountable

The work is traceable from the customer problem all the way to the change a human approved.

Starts from a real ticket

A remediation begins from an actual support report in Freshdesk, Jira or FixControl — the engineering work stays traceable back to the customer problem that prompted it.

Issue and codebase, together

The mission reasons over the report and the bound codebase to propose a targeted fix, instead of treating the symptom in isolation.

Patch proposed as a reviewable diff

Output is a concrete diff, not a black-box change. Reviewers see exactly what would change before anything is accepted.

Tests, QA and security evidence

Automated tests, QA review and security checks run against the proposal, and their results are attached as evidence the approver can weigh.

Approval gates for risky changes

Sensitive areas like payments, data-loss paths and deployment are gated. A human approves on the record before the change moves forward.

Timeline and audit trail

An operational timeline records who did what and why — from report, to mission, to patch, to approval and PR evidence — so the whole arc is auditable.

Governed by design

The AI proposes; a person decides

Gates, evidence and audit
A remediation mission proposes a patch as a reviewable diff and runs tests, QA and security checks before anyone accepts it. Changes touching risky surfaces — payments, data-loss paths, deployment — pause at an approval gate for an explicit human decision. PR or merge-request evidence is attached, and an operational timeline records who did what and why. FixControl does not deploy to production on its own.
FAQ

Common questions

Does the AI fix and ship code on its own?+
No. The mission proposes a patch as a reviewable diff. Tests, QA and security checks run, and risky areas wait at an approval gate. A human stays in control of what is accepted and what proceeds.
Where does a remediation start?+
From a real support report — a Freshdesk ticket, a Jira issue or a FixControl issue — so the engineering work stays traceable back to the customer problem.
What counts as a risky change?+
Surfaces such as payments, data-loss paths and deployment. Changes touching these pause at an approval gate for an explicit human decision before they advance.
What evidence does a reviewer see?+
The proposed diff plus the results of tests, QA review and security checks, alongside the originating ticket — so the approver can judge the change with context.
Is there a record of what happened?+
Yes. An operational timeline and audit trail capture who did what and why, from report through mission, patch, checks, approval and PR evidence.
Does FixControl deploy the fix to production?+
No. FixControl does not deploy to production on its own. Delivery surfaces as a PR or merge request, and any promotion happens only after human approval.
Keep exploring
AI approval ledger

Every AI-assisted action carries a decision record.

Deployment governance

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

GitHub integration

Patches surface as pull requests with attached evidence.

See support turn into a governed fix

Walk a real support report through analysis, patch, checks and approval on a live demo.

See support-to-engineering demoTalk to us