Monitoring & Health Checks
Regular checks on the quality, availability and cost of your AI services.
- Output quality tracking
- Usage and cost reporting
- Alerting on issues
Platform & Engineering
Keep Your AI Systems Useful After Launch.
AI systems need attention once they are live. We provide monitoring, support and improvement for AI solutions according to an agreed scope, so they stay accurate, secure and cost-effective.
Where It Helps
Common Situations We Help With.
Managed services suit organizations that have AI in use but limited capacity to look after it day to day.
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An AI tool launched successfully but no one owns it now
We provide a defined route for reporting issues and getting them resolved within an agreed scope.
Support & Issue Resolution -
Answer quality has drifted as documents and data changed
We update knowledge sources, prompts and models, and test that earlier answers still hold.
Model & Prompt Maintenance -
AI usage costs are rising without clear visibility
We track quality, usage and cost regularly and alert you when something changes.
Monitoring & Health Checks -
Your team lacks capacity to look after AI systems day to day
We review usage and feedback periodically and turn them into a practical improvement backlog.
Continuous Improvement
Capabilities
What We Can Help You Deliver.
The scope of monitoring, support and improvement is agreed with you and reviewed periodically.
Model & Prompt Maintenance
Updating models, prompts and knowledge sources as your business and data change.
- Knowledge source updates
- Prompt and model adjustments
- Regression testing
Support & Issue Resolution
A defined route for reporting problems and getting them looked at, within the agreed scope.
- Issue intake and triage
- Fixes and workarounds
- Change records
Continuous Improvement
Periodic reviews that turn usage and feedback into practical improvements.
- Usage and feedback review
- Improvement backlog
- Periodic roadmap updates
How We Work
How an Engagement Comes Together.
We start by understanding how your AI systems work today, then agree what is monitored and how issues are handled.
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Phase 01
Onboard
We review the AI systems in scope, their data sources and the people who rely on them.
OutcomeAn agreed scope and support process
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Phase 02
Baseline & Monitor
We set measures for quality, usage and cost, and begin regular checks.
OutcomeA baseline and ongoing visibility
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Phase 03
Maintain & Improve
We update content, prompts or models and address reported issues.
OutcomeSystems kept current as your business changes
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Phase 04
Review
We meet periodically to review performance and agree on priorities.
OutcomeRegular reports and an updated improvement plan
Related Services
Often Combined With.
Can you support AI systems built by another team or vendor?
Often, yes. Onboarding includes reviewing how the system works and is documented, so we can agree what support is realistic.
What does the service cover?
Coverage is defined in an agreed scope, which can include monitoring, issue handling, content and prompt updates, and periodic reviews.
How will we know how our AI systems are performing?
We agree measures for quality, usage and cost during onboarding and report on them at regular intervals, along with recommended improvements.
Platform & Engineering
Need Ongoing Support for Your AI Systems?
Tell us which AI tools you have in place and who looks after them now, and we can outline what managed support could cover.