Managed AI Operations
AI support with response terms set in writing
Support for an AI system covers more than outages. Behavior changes, edge cases appear, and volume shifts. Lingows AI provides ongoing support with response windows, coverage hours, and escalation paths written into each agreement, because the right terms depend on what the system actually does.
01What this is
An AI incident is often a quality incident rather than an availability one. The system responds normally and the answers are wrong, which requires a different diagnostic path than a standard outage.
Support terms are set per engagement. A customer facing agent handling live conversations needs different coverage than an internal reporting workflow, and publishing one blanket service level for both would be dishonest.
02Who this suits
Customer facing systems
Deployments where a failure is visible to customers immediately.
Teams without AI on call
Companies with no internal staff who can diagnose model behavior.
Business critical workflows
Processes where an outage stops operational work.
03How it works
- Step 01
Define severity levels
Agree what counts as critical, including quality regressions and not only outages.
- Step 02
Set response terms in writing
Response windows, coverage hours, and escalation contacts are documented in the agreement.
- Step 03
Run a diagnostic path for quality
Quality incidents are reproduced against the evaluation set before any change is made.
- Step 04
Review after every incident
Each incident produces new evaluation cases so the same failure is caught next time.
04Effort and timeline
| Item | Typical |
|---|---|
| Engagement | Ongoing monthly |
| Severity model | Includes quality regressions |
| Response terms | Defined per agreement in writing |
| Post incident | New evaluation cases added |
05Common failure modes
Availability only definitions
An agreement covering uptime alone excludes the most common AI failure.
No named escalation
When nobody is named on either side, response time is whoever notices.
Incidents without follow up
A failure that adds no evaluation case will happen again.
FAQQuestions
Common questions
What response times do you offer?
Response windows, coverage hours, and escalation paths are set per engagement and written into the agreement, because appropriate terms depend on what the system does and who it affects.
Does support include changes?
Tuning, threshold adjustment, and model migration fall under managed AI operations. New capability is scoped as separate build work.
Last reviewed 2026-08-16
UPWhere this sits
Support and SLA is part of Managed AI Operations. The pillar page covers scope, delivery model, and the other capabilities in the set.
- Monitoring and Observability
AI monitoring tracks whether a system is still producing correct output, which standard application monitoring does not measure. Lingows AI maintains evaluation sets built from real cases, replays them on a schedule, and alerts on quality regression alongside latency, error rate, escalation rate, and cost per run.
- Model Updates and Migration
Model providers release new versions and retire old ones on their own schedule. Lingows AI tracks those announcements for every provider in a client's stack, tests candidate models against the client's evaluation set, migrates deliberately with a rollback path, and never leaves a deprecation deadline to be discovered late.
- Cost Optimization
AI cost optimization starts with attribution: knowing which workflow, which step, and which model consumed the spend. Lingows AI instruments systems so cost is traceable per run, then reduces it through model routing, context trimming, caching, batching, and moving deterministic work out of model calls entirely.
Talk through support and sla
Bring the process, the volume, and the systems it touches. Lingows AI will scope the build, the effort range, and what running it costs.