AI does the work. Your people keep the decisions.
FixControl is a governance layer that runs on top of the tools you already use. AI classifies, drafts, and proposes; policy and sandbox verification check the work; a person approves anything that reaches a customer, a repository, or production. Every decision is recorded.
Four pieces, one control plane
Everything below is shipped and in the product today. Each piece feeds the next: context informs proposals, proposals carry evidence, decisions land in the ledger.
Support intelligence
Understand incidents using your documentation, past tickets and operational context. Ask about existing tickets in authenticated Slack, Teams or the in-app assistant instead of filing a new one.
Operational governance
An 8-domain policy engine sets risk tiers, approvers and limits per scope. AI operates inside those policies; consequential actions stop at approval gates.
Evidence engine
Every proposal carries the tickets, code and documentation it rests on, plus sandbox verification results — so an approver decides on evidence, not on trust.
Mission timeline
One replayable timeline per operation, from intake to delivery, separate from raw logs. Each decision links back to the evidence it was made on.
What is shipped, what is configured, what is planned
We label maturity rather than blur it. If something below says preview or roadmap, it is not sold as shipped.
In the product today
- Support → engineering workflow: intake, triage, proposed change, sandbox verification, approval gates, delivery as a pull or merge request
- Governed customer replies: AI drafts, a person approves what is sent to Freshdesk — and to Jira Service Management where a customer-reply capability is configured and healthy
- Ticket-question answering in authenticated Slack, Teams and the in-app assistant
- Approval ledger and hash-chained audit log with signed export
- OIDC SSO, SCIM 2.0 provisioning, built-in TOTP 2FA, tenant isolation via Postgres row-level security
Active only where you set it up
- Argo Rollouts deployment gates: an approval resumes a paused rollout; nothing promotes without a recorded decision
- Jira Service Management customer-visible replies, per configured request type
- Read-only database diagnostics (PostgreSQL), allowlisted and approval-gated
Early, labelled as early
- DevOps observe-and-govern: pipeline and deployment event ingest with compliance export
Planned — not shipped
- SAML SSO (OIDC and SCIM are the shipped identity integrations; SAML is on the roadmap)
- Executing or gating CI/CD deployments beyond configured Argo gates
- AI-assisted incident response
Built for teams that want AI with control, starting small
FixControl is founder-led and currently onboarding pilot customers. That shapes who gets the most out of it today.
Support and engineering teams
Teams evaluating governed AI workflows across a helpdesk, a tracker, chat and a code host — Freshdesk or Jira, Slack or Teams, GitHub or GitLab.
Best fit: a controlled pilot
Start with demo data, connect one integration, agree success criteria, and expand from there. You work directly with the people who build the product.
Not a replacement for your team
FixControl does not remove humans from the loop — it puts them at the decision points. Approvers remain responsible for what they approve.
What the AI may do on its own — and what it may not
Without approval, the AI classifies, summarizes, drafts, proposes, analyzes and prepares changes. Customer-visible replies, tracker comments that leave your tenant, pull requests and deployment promotions wait for an approval. And we do not promise hallucination-free AI — we put evidence and a person in front of every consequential action.
See a governed operation run end to end
A 15-minute walkthrough on demo data — no production systems required. Pilots start with one integration and clear boundaries.