Operations · monitoring · quality · support
Your AI stays useful.
And operational.
After launch, we monitor services, connectors, models, costs and quality indicators within an operating scope defined together.
Incidents become visible.
Alerts, logs and recovery procedures help address problems before users discover them.
Results are monitored over time.
Reference tests help detect regressions after changes to models, data or connectors.
Changes and costs are documented.
Every significant intervention is recorded and changes are prioritised with an operational perspective.
Which systems need operational maintenance?
As soon as an assistant or automation enters everyday work, its operation needs an owner and rules.
- 01
An AI service is already used by staff or clients.
- 02
Several connectors or sources may change without warning.
- 03
Answer quality needs to remain measurable.
- 04
Your team does not want to handle technical maintenance alone.
An operational system.
Beyond a demonstration.
Every element is selected for your actual use, documented and prepared to evolve.
- 01Inventory of the operating scope✓
- 02Technical monitoring and alerts✓
- 03Error and incident tracking✓
- 04Periodic quality tests✓
- 05Scheduled component updates✓
- 06Capacity and cost monitoring✓
- 07Backup and recovery procedures within the agreed scope✓
- 08Service report and recommendations✓
From business need
to a working system.
A gradual, observable and reversible transition. You approve the result at every step.
Audit
Review architecture, dependencies and service expectations.
Instrument
Install measurements, alerts, logs and reference tests.
Operate
Handle incidents, updates and requests within the agreed framework.
Improve
Share trends and prioritise useful changes.
Before
you get started.
01Does the service include an availability commitment?+
Hours, response times and any commitments are specified in the proposal according to criticality and architecture.
02Can you take over a system built by a third party?+
Yes, after a handover audit confirms documentation, access, dependencies and technical risks.
03How do you measure an assistant's quality?+
With a reference set of questions or scenarios, supplemented by observed errors and user feedback.
04Are updates automatic?+
Not by default. Sensitive changes are tested and scheduled to avoid silent regressions.
Let's discuss your
actual constraint.
Describe the context. We will respond with practical options and a suitable next step.
Book an assessment ↗Video call · 30 minutes · No obligation