Operational monitoring
Track failures, latency, usage and cost. Establish actionable alert thresholds and a clear route to the person responsible for investigation.
Managed AI operations
Launch is the beginning of the operating story.
Keep AI systems useful as knowledge, integrations, providers and business requirements change. With explicit ownership and an agreed service scope.
Discuss managed operationsWho notices when the system is still online but its answers get worse?
Availability alone is not enough. A knowledge index can become stale, a provider update can change behaviour and a workflow can drift away from current business practice. Managed operation combines technical monitoring with evaluation of the work the system is supposed to do.
WHAT YOU RECEIVE
An operating baseline, monitoring and evaluation plan, service responsibilities, a maintenance schedule and a recurring improvement review.
Quality and retrieval evaluation
Run representative examples and review material changes in behaviour. Separate poor source information, retrieval problems and generation errors so improvements address the cause.
Maintenance and controlled releases
Maintain integrations, dependencies and knowledge refresh processes. Test changes, record the release and preserve a practical rollback path.
A useful service review
Review incidents, corrections, user feedback and operating costs. Prioritise the next improvements against the workflow’s actual value and criticality.
- ✓Agreed service hours and responsibilities
- ✓Incident escalation and recovery procedures
- ✓Quality checks around changes
- ✓Transparent operating and provider costs
Does managed operation include round-the-clock support?
Only when explicitly included in the service agreement. Support hours, response expectations and system criticality must be aligned before the service begins.
Can you take over an existing AI system?
Subject to an assessment of the code, access, documentation, dependencies and current risks. The initial work may include establishing missing monitoring, tests or operational procedures.
What should AI do
for your business?
Tell us what you want to build, connect or improve.
We’ll help define the architecture, the delivery and what it takes to run it.