Monitoring
Errors, delays, costs and external dependency status.
AI operations & optimisation/ 12
Launch is only the beginning.
We maintain AI integrations after rollout - monitoring errors, response quality and costs, and validating planned changes.
Let’s discuss your projectSee how we build itEXAMPLE WORKFLOWR / SYSTEMS
- ObserveErrors, quality, cost01
- ValidateTest cases and versions02
- ImproveA controlled change03
Clear access. Verifiable actions.
INSIDE THE WORKSHOP
Monitoring starts after launch.
01 / 03
Choose what needs to be visible.
We define critical journeys, dependencies and available logs. Error, cost and response-time signals are selected. We establish which deviations need action and who owns it.
Monitoring and owners
FROM THE IDEA TO THE DETAILS
What we do
For businesses with a working AI assistant or automation that needs technical care and clearly assigned responsibilities.
- A working internal assistant
- Automation using external APIs
- Quality and cost control
- 01
Monitoring and alerts
We define what to watch: errors, latency, requests and cost, then configure agreed alerts and owners.
- 02
Output quality
We maintain test scenarios and review problematic responses rather than treating every execution as a success.
- 03
Costs and limits
We configure budgets and limits and assess more efficient use of models and external services.
- 04
Predictable changes
We check updates in a test environment, document versions and prepare a return to the previous configuration.
A CLEAR OUTCOME
What you receive
- A monitoring and ownership plan
- Agreed alerts and limits
- Periodic technical reporting
- Tests and a change plan
We agree on features, timing and scope before starting. Support and future releases are arranged for each project.
HOW WE WORK TOGETHER
- 01
Review the system and current issues.
- 02
Agree on monitoring and response.
- 03
Test, optimise and report.
UNDER THE SURFACE
The details that hold everything together.
Versions
Validation before changes and rollback planning where applicable.
Support
Clear scope, contact details and agreed issue handling arrangements.
What should we start with?
The current architecture, available logs and examples of recurring issues are useful.
BEFORE WE START
Good questions. Clear answers.
Is round-the-clock support included?
Not by default. Coverage hours, response times and responsibilities are agreed in writing. Automated alerts do not mean a round-the-clock human support team.
Can you maintain another team’s implementation?
Following a technical review and with adequate access and documentation. Where there are gaps, we first agree on stabilisation work.
Are AI model fees included?
Not automatically. Model, hosting and external platform costs are separate from the service. Budgets and reporting are agreed in advance.