Keep a live workflow dependable as models, tools, data and volumes change.
Reliability operations is a monthly service that keeps a live AI workflow dependable as models, tools, data and volumes change.
Who it is for
The platform owner or operations lead responsible for an AI workflow that is already live. Model versions change under you, tools change their behaviour, volumes grow, and nobody wants to find out in production.
What you get
- Regression testing on every change, including model-version changes.
- Model-change evaluation before release.
- Incident analysis and root-cause reports.
- Cost monitoring: cost per accepted task, retries and review time.
- Controlled releases with rollback.
- A monthly report covering task success, permission compliance, consistency, recovery, human burden, economics and latency.
How it runs
- Onboarding month
baseline the workflow against our evaluation standard, agree service objectives and escalation paths.
- Monthly cycle
regression on every change, a release decision an outside engineer can inspect, a report you can take to a board.
Duration and commercials
Monthly, under contract, with a minimum term agreed in the proposal. Priced per workflow from its volume, change rate and support window.
Boundary
Support hours, escalation paths and service objectives are written into the contract. We do not imply round-the-clock coverage unless it is contracted.
Questions buyers ask
How is reliability operations priced?
Monthly, under contract, with a minimum term agreed in the proposal. It is priced per workflow from its volume, change rate and support window.
What does the monthly report cover?
Task success, permission compliance, consistency, recovery, human burden, economics and latency.
Is support round the clock?
Only if it is contracted. Support hours, escalation paths and service objectives are written into the contract.
How to start
Send the workflow, the systems it touches and the last three months of incidents, if you have them.
Talk about operations →Related client stories
Client stories are published as permissions are confirmed. Until then, the method we hold every story to is on How you can check us.
How you can check us →