Services/Manage
AI Model Monitoring & Maintenance
Observability, drift detection, and retraining for AI systems that are already live.
- Ongoing, monthly
- Managed service with a defined response window
- A named lead and a rotating on-call engineer
- Production AI systems without a dedicated ML operations team
What we do
Models and agents degrade quietly: inputs shift, prompts drift, costs creep. We run the monitoring, evaluation, and maintenance that keeps a production system accurate and affordable, and we tell you before users notice a change.
What the work includes
Evaluation on a schedule
A fixed test set run against the live system on a cadence, so accuracy is a number you can see change rather than a feeling.
Drift detection
Input distributions, retrieval hit rates, and output patterns tracked over time, with alerts when they move beyond agreed thresholds.
Cost control
Token usage, cache hit rates, and model routing reviewed monthly. Many systems can be made materially cheaper without changing what users see.
Incident handling
A defined response window, a named lead, and a written root cause for every incident.
How an engagement runs
Scope, build, evaluate, operate.
The same four stages on every engagement, so you always know what happens next and what you will have at the end of it.
Scope
A short discovery with the people who own the problem. Output: a written scope, acceptance criteria, and a fixed estimate.
Build
A named lead and a team sized to the scope. Working software from the first weeks, demonstrated on a fixed cadence.
Evaluate
Every AI component is measured against real cases before rollout. The numbers decide when it goes live.
Operate
Deployment, monitoring, and a support window. Then a handover, or an ongoing team if you want one.
Typical stack
Tools we commonly use for this work. The final choice follows your requirements, region, and existing platform.
- Python
- Prometheus
- Grafana
- Datadog
- MLflow
- LangChain
- Elasticsearch
- Sentry
Operations
Know before your users do
Live AI systems need someone watching the numbers. If that is not a role you want to staff, it is one we already run.