04 · Operate, monitor, improve
Run & Optimise
We keep it running once it is live — monitoring, change and the unglamorous maintenance that decides whether the thing survives its first year.
Get in touchWhere this usually goes wrong
AI systems decay in a way ordinary software does not. Providers retire model versions, costs move, and the thing that was accurate in March quietly stops being accurate in September. Something has to be watching.
How we work at this stage
It is watched, not hoped for
Monitoring, alerting and a monthly read on what it costs to run — so a drift in quality or spend surfaces before you feel it.
Models change, so we change them
What is best today will not be in six months. Periodic bake-offs move you onto better or cheaper models without a rebuild.
Corrections stick
When it gets something wrong, your team teaches it once and it holds. That correction is written back as fact, not re-explained every month.
What you leave with
- A system somebody is accountable for after go-live
- A monthly view of what it costs and what it is getting right
- An allowance of change each month that you direct
Next stage: AI Advisory
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