Application and integration support
Monitor failures, investigate incidents and manage API or workflow changes.
Keep AI useful.
Keep delivery accountable.
Agree the support model for your AI systems, including incident handling, quality monitoring, usage cost and controlled improvements.
Support designed around your environment.
AI quality and evaluation
Review output quality, user feedback and regression cases when prompts or models change.
Cost and capacity visibility
Track usage and agree spending thresholds, escalation paths and optimisation priorities.
Clear responsibilities and service expectations.
- Named business and technical owners
- Support coverage, response targets and escalation agreed in the engagement
- Access, logs and incident runbooks
- Change review, evaluation and release controls
- Periodic review of usage, quality and cost