AI Maintenance & Support
Every AI system degrades without attention — model drift, prompt regressions, upstream API changes. We take on the ongoing monitoring, retraining, and incident response so your AI stays accurate long after the initial launch.
<4 hrs
Avg. Response to Drift Alert
0+
Systems Under Support
Built-in
Retraining Automation
Included
Monthly Health Reports
What's Included
Monitoring and alerting for drift, latency, and cost
Scheduled retraining or prompt review cadence
Monthly health report
How We Work
01
Baseline Audit
We assess your current AI system's monitoring, documentation, and known failure modes.
02
Monitoring Setup
We instrument accuracy, latency, and cost tracking so drift is caught before it's a support ticket.
03
Ongoing Operations
We handle retraining, prompt updates, and dependency upgrades on a regular cadence.
04
Incident Response
When something breaks, we're the team that diagnoses and fixes it, with a defined SLA.
What You'll Receive
- Monitoring and alerting for drift, latency, and cost
- Scheduled retraining or prompt review cadence
- Monthly health report
- Incident response with defined SLA
- Change log of updates and their impact
How Engagements Typically Work
Every project starts with scoping — here's the shape most engagements for this service take.
Support Retainer
A monthly retainer covering monitoring, minor updates, and incident response for one or more AI systems.
Retraining Package
Scheduled model retraining cycles for systems with regularly changing data.
On-Call SLA
A defined response-time SLA for critical AI system incidents outside normal hours.
Technologies We Use
The tools and platforms our AI Maintenance & Support team works in day to day.
Monitoring
Infra
Frequently Asked Questions
Yes — we regularly take over maintenance for systems built by other teams after an onboarding audit.
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