Managed AI
After go-live.
Managed AI Services: seven continuous-operation layers, three commercial tiers and the Monitor→Evaluate→Optimize→Govern→Improve loop.
SEC 01
Go-live is the start
AI systems change after launch: models evolve, knowledge shifts, integrations fail, usage grows, costs move and new failure modes appear. Production AI needs active operations.
BUILD ──► RUN
│
├── Service Health
├── AI Quality
├── Cost & Performance
├── Governance & Security
├── Continuous Improvement
├── Business Value
└── Expansion
NoteManaged AI ≠ helpdesk. It is continuous system operation: monitor, evaluate, optimize, govern and improve.
SEC 02
Seven service layers
| # | Layer | What it covers |
|---|---|---|
| L1 | Service Health | Availability, incidents, workload uptime |
| L2 | AI Quality | Continuous evaluations, drift, response quality |
| L3 | Cost & Performance | Usage, latency, cost optimisation |
| L4 | Governance & Security | Access, changes, operational boundaries |
| L5 | Continuous Improvement | Prompts, knowledge, workflows, models |
| L6 | Business Value | Impact reporting and business reviews |
| L7 | Expansion | New workloads on the same foundation |
SEC 03
Three service tiers
AI CAREkeep it healthy
- Basic monitoring
- Incident intake + technical support
- Usage + cost monitoring
- Periodic health review
- Minor configuration adjustments
€500–€1,000 / month
AI OPERATIONSoperate + evaluate + optimize
- Advanced monitoring + evaluations
- Incident management
- Prompt + knowledge management
- Cost + model optimization
- Reporting + business reviews
€1,500–€3,500 / month
AI ENTERPRISE OPSbusiness-critical
- Multi-workload operations
- Dedicated governance + compliance
- SLA and escalation model
- Capacity & expansion planning
- Dedicated operating cadence
scoped
Actual pricing follows the AI_PRICING_MODEL and depends on workloads, usage, criticality, integrations, support level and evaluation requirements. The unit of operation is the workload — each has its own record and criticality.
SEC 04
The operating loop
MONITOR ──► EVALUATE ──► OPTIMIZE ──► GOVERN ──► IMPROVE ▲ │ └────────────────── continuous loop ◄───────────────┘
Each iteration turns operational learning into better performance — this is what separates managed AI from abandoned AI.