Built Systems Still Need Someone Watching Them
A deployed model or automation framework doesn't stay healthy on its own. We keep it running, catch what's drifting, and handle the upgrades.
The Problem
Nothing You Build Stays Static
Models drift as real-world data shifts away from what they were trained on. Automation frameworks break when the systems around them change. Dependencies go out of date. Most internal teams don’t have the bandwidth to watch all of this continuously — so problems get caught late, usually after something’s already gone wrong.
What's Included
Ongoing monitoring —
Catching drift, failures, and degradation before they become visible problems.
Fixes and maintenance —
Keeping deployed systems working as the environment around them changes.
Upgrades —
Updating models, dependencies, and frameworks as better options become available.
Retained support —
For models, automation frameworks, or other AI systems, whether we built them or not.
How It Works
Handover assessment —
Understanding what's already built and where the gaps are.
Support agreement scope —
What's covered, and how quickly issues get addressed.
Ongoing cadence —
Regular monitoring, fixes, and upgrades on a schedule that fits your risk tolerance.
Why moventAI
We don’t think a project ends at deployment. Something handed off cold, with no plan for what happens six months later, isn’t really finished — it’s just deferred. We’d rather stay involved and keep it working than watch it slowly break.
Who It's For
- Companies with AI or automation already built — by us or by someone else — who need it kept healthy.
- Teams without the internal bandwidth to monitor and maintain deployed systems continuously.