What we solve ·How do I build something that later runs on its own?
Forge · Build
Is your model still working as well as it did on day one?
The model still answers. Nobody can prove it answers as well.
The measurement, the threshold and the shutdown criterion installed and handed over running to your team. We do not stay watching the dashboard.
Production model monitoringSend this page to whoever decides
What you receive
- The frozen reference case bank and the baseline report.
- The monitoring dashboard set up inside your own tools.
- The thresholds with their associated action and the operating manual.
- The shutdown criterion written and signed by the named owner.
The proof that applies here
- 700 automated agents in production with their measurement, over 250,000 incidents.
- Operations leadership over 60,000 servers with its own measurement.
- Eight years under regulatory supervision, where something working had to be proven and not asserted.
How we solve it
The method, not the promise.
- "Working" gets defined in metrics the business recognizes, not just the technical team.
- The reference case bank gets built with your people and frozen. Without freezing it there is no comparison possible.
- Drift measurement gets set up in three layers: input, behavior and business outcome.
- Thresholds get fixed with an associated action: who finds out, what they do and within what time.
- It gets handed over with a real test: a degradation is induced and your team has to detect it on their own.
Use this today, without hiring anyone
How to detect silent degradation without installing anything. It is the characteristic failure mode of these systems, which keep answering while getting worse, and it gets watched with two things you can build this week.
- Freeze a bank of twenty cases with their correct answer. Take them from real cases already resolved. Keep them separate and never change them: that is the point.
- Run them once a month and count the hits. The number only matters compared with itself. If it drops two months in a row, you have drift.
- Write down the model version every time. Most quality drops coincide with a version change the vendor did not announce.
- Watch the input too, not just the output. If the kind of cases arriving has changed, the system may be answering just as well to a problem that is no longer yours.
Answer this before you need it. Under what conditions does this system stop deciding and a person takes over? If it is not written, it does not exist, and the day it is needed the decision will get made at three in the morning.
This sounds like you if
- Your system has been in production for months and you only have the vendor's metrics.
- There was a quality complaint that the available metrics could not explain.
- The vendor changed version and you found out afterwards.
Before you hire
It gets installed and handed over: the firm does not operate the monitoring, does not commit to a standing watch and does not answer for the decisions the system makes after the handover.
What you buy here is knowing what to measure. The difference between a metric that warns and one that decorates is learned by operating systems that could not fail, and it gets proven in the handover test: if your team does not detect the induced degradation, the work is not accepted.
If your system started getting things wrong today, how long would it take you to find out, and how?
If the problem is a different one
The process already depends on the agent and nobody remembers how it was done by hand.
Agent continuity planning
The agent no longer just answers: it executes. Nobody defined how far it can go on its own.
Agentic operation guardrails
The pilot worked, everyone applauded and eight months later it is still a pilot.
From use case to production