Service
AI agent maintenance
Production agents need upkeep. We monitor, fix, tune, and improve them on a monthly retainer, including agents someone else built.
Why agents need maintenance
APIs change, document formats drift, models get deprecated, edge cases accumulate. An agent that ran clean in March quietly degrades by August, and nobody notices until a batch of invoices posts wrong.
Maintenance is monitoring plus ownership: someone whose job is to read the run logs, catch the drift early, and ship the fix before it costs you anything.
We adopt orphaned agents
Plenty of companies had an agent built by a freelancer, an internal experiment, or an agency that moved on, and it now runs unowned. We audit it, document it, stabilize it, and put it under the same monitoring as our own builds.
What you get
- 24/7 monitoring with alerting on failures and drift
- Weekly run report: volumes, accuracy, exceptions, cost
- Model and API updates applied and regression-tested
- A monthly improvement shipped from the backlog you prioritize
- Response-time commitments on breakage, in writing
Questions
Can you maintain an agent you didn't build?
Yes, after a paid stabilization audit that documents what exists, fixes the urgent issues, and tells you whether it is worth maintaining or rebuilding.
What response time do you commit to?
Defined in the retainer by severity: production-down issues are same-business-day. The monitoring agent checks your system every 30 minutes, and your overnight is our business day, so fixes usually land before your morning.
Start with a free workflow audit
A 45-minute call. We map three processes agents can take over, estimate what each would save, and quote what it would cost. No obligation.