From customer issue to verified solution, in less time
FixControl brings the right information together per project and lets AI prepare answers and tested changes — inside your rules, approvals and audit trail. This page shows where that saves money, and lets you calculate it on your own numbers.
Where the time and risk actually go
No promised percentages — mechanisms. Each block names the work that disappears or the risk that gets caught, so you can weigh it against your own numbers below.
Structural labor savings in support
The searching disappears: tickets, earlier conversations and documentation are already connected per project, and a reply arrives as a prepared draft. Your team reviews and approves instead of digging and writing from scratch.
Faster fixes in engineering
A technical escalation arrives as an analysed proposal: probable cause, a prepared change and test results from an isolated environment. The engineer on your team starts at review, not at reproduction.
Governance and quality before shipping
Rules, risk checks and approval gates run before anything reaches a customer of your organization or one of your repositories. That is what prevents the expensive category: unchecked replies and untested changes going out.
Traceability and compliance built in
Every decision is recorded: who approved what, on which evidence, from which channel. Audit and compliance questions become an export instead of a reconstruction project.
Growing without growing headcount at the same rate
When preparation is done by AI and people spend their time on decisions, the same team handles more tickets and more changes. Growth then shows up as more approved work per person — not automatically as more hires.
And the costs that never hit the books
Avoided incidents are invisible in a spreadsheet but real in the outcome: the untested change that never reached production, the wrong reply a reviewer caught, the deployment that waited for a recorded decision. Governance is what keeps those off your incident list.
Calculate it on your own numbers
Every field is your assumption — adjust it to your situation. The result is an indication based on your input, not a promise. The estimated cost uses the public plan prices.
Your situation
What you save with these numbers
- Support spends ± 48 h less on digging through history
- + €2,160
- Engineering spends ± 72 h less on escalations
- + €6,120
- Minus the FixControl subscription (Team)
- − €299
- Saving per month
- €7,981
- From ± 15 tickets per month the subscription pays for itself.
- After ± 2 days of a month, the monthly price is covered.
Estimated plan at this volume: Team — prices from the public pricing page.
Indicative calculation on your own assumptions — not a quote and not a guaranteed saving. Start free or book a demo to test it on your real tickets.
How this is calculated
Support saving = the prepared replies your team accepts × the search time that disappears per ticket × your support rate. Engineering saving = the accepted escalations × the hours an analysed, tested proposal removes × your engineering rate. From that we subtract the public plan price that fits your volume (≈ 2 AI actions per ticket, plus 1 per escalation). It stays an indication — your real numbers depend on your tickets and on what your team accepts.
Test the numbers on your own tickets
Start free with support work, or book a demo and see the flow from your customer’s report to an approved, tested change on your own data.