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TIER 2 — CORE AI SERVICE
Managed AI Operations
Integration gets AI into production. Managed operations keeps it there.
THE PROBLEM
Most AI projects fail after launch
We stay after launch. That's where most engagements end — and ours begin.
Post-launch
What breaks after go-live
WHAT BREAKS POST-LAUNCH
- [·]Model drift as production data diverges from training data
- [·]Prompt performance degrading as use cases expand
- [·]Costs escalating as usage grows without optimization
- [·]Compliance gaps discovered after deployment
- [·]No visibility into what the AI is actually doing
ONGOING OPERATIONS
What managed operations covers
01
01
MODEL PERFORMANCE MONITORING
Continuous monitoring of model output quality, response times, error rates, and cost per query. Dashboards and alerting before problems affect production.
02
02
RETRAINING CYCLES
As your data evolves, models drift. We manage retraining schedules, dataset updates, and evaluation to keep AI systems accurate over time.
03
03
INCIDENT RESPONSE
AI systems behave unexpectedly. When they do, we have the playbooks and the access to diagnose and resolve issues fast.
04
04
COST OPTIMIZATION
Right-sizing compute, managing API spend, optimizing prompt efficiency, and routing queries to the most cost-effective model for each task.
05
05
CONTINUOUS IMPROVEMENT
Production data is the best feedback loop. We mine it systematically to identify improvement opportunities and implement them in regular cycles.
OPERATIONAL SUPPORT
Book a technical conversation — ongoing support designed for your specific deployment.
contact@proticom.com
844.PROTICOM
proticom.ai
844.PROTICOM
proticom.ai