RUBIKSCORPRUBIKSCORP · Pune, India
AI Monitoring
Track changes in agreed AI behaviors with scheduled checks and clear escalation rules.
Checks that run on a schedule
Agreed tests run on the schedule you choose and flag drift, wrong answers and exposure risks. Alerts go to the contacts you name.
Illustrative example, not client data.
Define the monitoring plan
Monitoring is useful when the checks and ownership match the system.
- Select the journeys and failure categories to test.
- Agree check frequency, thresholds and alert recipients.
- Record model, prompt and data changes alongside results.
- Review trends and update coverage when the system changes.
Set expectations before starting
Check frequency, staffed review hours, response targets and support responsibilities are specified separately in the written scope. Automated tests may miss issues, and an alert does not mean someone is actively responding.
Test coverage
The plan states what is measured and what remains outside scope.
Alert ownership
Your team and RUBIKSCORP agree who receives alerts and who acts on them.
Review cadence
Findings are reviewed on an agreed schedule, with changes to coverage documented.
Discuss your monitoring needs
Tell us what system you operate and which failures matter most.