AI that ships is just the beginning.
Most AI projects fail after launch, not during build. Models drift. Accuracy degrades. Edge cases accumulate. MetaSys stays on after deployment to monitor performance, retrain models, respond to incidents, and keep your AI producing consistent outcomes over time.
Why AI systems fail after launch.
Model drift
The world changes. Your training data does not. Over time, your AI starts making decisions based on outdated patterns and nobody notices until it is already causing damage.
No evaluation loop
Most builds ship without a feedback system. Without continuous evaluation, you have no way to know if your AI is getting better or getting worse week over week.
Unhandled edge cases
Production data is messier than training data. Edge cases that never appeared in testing show up constantly in the real world and bring your accuracy down.
No one owns post-launch
The team that built your AI moves on to the next project. You are left running a system nobody is watching and nobody is improving.
These are not rare problems. They happen to almost every AI deployment that ships without a managed operations layer. See systems we manage
Everything that keeps your AI performing.
Performance monitoring
We instrument your AI systems with evaluation pipelines that track accuracy, latency, output quality, and failure rates in real time. You get a live view of how your AI is performing and we get alerted before you do when something drops.
Real-time dashboards includedModel retraining and improvement
As new data flows through your system, we run retraining cycles on a scheduled or trigger-based cadence. Your model improves continuously instead of degrading slowly.
Scheduled or event-triggered retrainingIncident response
When your AI produces bad outputs, triggers errors, or hits edge cases it cannot handle, we respond within the terms of your SLA. We diagnose, patch, and restore normal operation with minimal disruption to your workflow.
SLA response times from 4 to 24 hoursPipeline and infrastructure maintenance
Data pipelines break. APIs change. Upstream systems get updated. We manage the full stack that feeds your AI so you are not firefighting integration issues on top of everything else.
Full-stack ownership post-launchCapability expansion
Your business evolves. Your AI should too. We scope and deliver new capabilities on top of your existing system so you are not starting from scratch every time you need something new.
Roadmap-driven AI developmentChoose the level of coverage you need.
Performance Monitoring
For teams that built their own AI and need a dedicated operations layer watching it.
- Real-time performance dashboards
- Weekly accuracy and latency reports
- Alert thresholds and escalation rules
- Monthly evaluation report
- Email and Slack incident notifications
Starting point for most clients
Get a quoteFull Managed Operations
For production AI systems that need ongoing care, retraining, and incident response.
- Everything in Monitor
- Scheduled model retraining
- Incident response with SLA
- Pipeline and infrastructure maintenance
- Quarterly capability review
- Named engineer assigned to your account
- Priority support channel
- Monthly improvement report
Operate and Grow
For organizations that want continuous AI improvement and new capability delivery on a roadmap.
- Everything in Operate
- Quarterly capability sprints
- Roadmap planning and prioritization
- Integration of new data sources
- Strategic AI advisory
Best for enterprise and scaling orgs
Get a quoteAll plans are scoped per engagement. Pricing depends on system complexity, data volume, and required SLA. Contact us for a custom quote.
What we deliver every month.
MANAGED OPS REPORT - APRIL 2026
System: underwriter-agent-v3
Period: Apr 1 to Apr 30
Next action: Expand retrieval chunk size for
long-form document processing
You need managed AI operations if...
We build it and we operate it.
Most managed operations clients started as MetaSys build clients. When we build your AI system, we instrument it for observability from day one so the handoff to ongoing operations is seamless.
Need us to build first?
We design, build, and deploy production agentic AI systems, automation, and data platforms. Then we operate them.
See our AI capabilitiesAlready have a system?
Bring us an existing AI deployment and we will audit it, instrument it for monitoring, and take over operations within two weeks.
Talk to usYour AI should not be running unattended.
Talk to an AI operations engineer. We will audit your current deployment and tell you exactly what coverage you need.