What we solve ·How do I build something that later runs on its own?
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Why is your AI pilot not making it into production?
The pilot worked, everyone applauded and eight months later it is still a pilot.
From demo to real operation: with an owner, an operating manual, monitoring, cost per outcome and a shutdown criterion written before it gets switched on.
From use case to productionSend this page to whoever decides
What you receive
- The report on why it had stalled, delivered in the first two weeks.
- The case running in production, with a named owner who signed the handover.
- Operating manual, monitoring and escalation path.
- The cost per outcome model and the written shutdown criterion.
The proof that applies here
- 250,000 incidents analyzed and 700 automated agents taken to sustained operation, not to a pilot.
- 13,400 hours a year recovered and 40% less manual work, measured and sustained.
- 19 years operating in production what other people built.
How we solve it
The method, not the promise.
- Why it did not cross gets diagnosed. The answer is rarely technical capability. The answer arrives in the first or second week.
- The operational owner gets named before anything is touched. If none appears, the work stops there.
- It gets integrated with the real systems and with the process as it is actually executed, including the exceptions nobody documented.
- Operating manual, monitoring, alerts and escalation path get set up, and the cost per unit processed gets calculated.
- It gets handed over: your team runs it for two weeks without us before signing acceptance.
Use this today, without hiring anyone
The five reasons a pilot does not cross over, in the order they show up. Mark the ones that are yours before calling anyone: if it is three or more, the problem is not the model and you already know it on your own.
- There is no owner. Nobody has it in their job description that this works on day two hundred. It is the number one reason and the cheapest to fix.
- The integration was never really done. The pilot ran on data exported by hand. Production means connecting to what already exists, through the paths that are already supported.
- The real process is not the documented one. The pilot was tested against the manual; the operation works another way, with exceptions nobody wrote down.
- The cost per unit was never calculated. In a pilot, consumption is invisible; in production it is a monthly invoice somebody has to approve.
- There is no shutdown criterion. Without the rule for when it gets retired, nobody dares switch it on for real.
All five come down to one. Name the person. If you cannot say out loud who answers for this six months from now, the pilot will not cross over.
This sounds like you if
- Last year's pilot is still a pilot.
- Nobody has it in their job description that this works the day it goes into production.
- The cost per unit of work processed has still not been calculated.
Before you hire
The first phase is a two week diagnosis that says why the pilot did not cross over and whether it should. If the answer is no, you take that conclusion in writing and pay only for that phase: it is cheaper than forcing it across.
What is proven here is the opposite of a pilot: an automation program taken to sustained operation over 250,000 incidents, with its recovered hours measured and sustained. Crossing from demo to operation is exactly what this service sells, and that difference is the part that is proven.
Can you say the name of the person who will answer for that case six months from now?
If the problem is a different one
The model still answers. Nobody can prove it answers as well.
Production model monitoring
We run it in a spreadsheet and no product on the market does exactly this.
Custom operational application
The agent no longer just answers: it executes. Nobody defined how far it can go on its own.
Agentic operation guardrails