Managed Services
DataExos helps organizations monitor, maintain, document, tune, and improve AI-enabled workflows, integrations, and operating systems after launch.
The problem
Integrations break quietly when an upstream API changes. Documentation drifts out of date the moment a workflow is adjusted. Models and vendors change behavior, pricing, and limits without notice. And the business itself moves — new steps, new owners, new exceptions — until the workflow no longer matches the work.
Without someone watching, the gap between what the system does and what the business needs widens until something fails in front of a customer.
Our point of view
DataExos treats a launched system as the beginning of an operating relationship, not the end of a project. We monitor execution, maintain the integrations and documentation, watch for drift, and adjust the workflows as the business changes — so the system keeps matching reality instead of slowly diverging from it. The work stays observed, documented, and accountable, in client-owned workspaces wherever possible.
A launched system is the start of an operating relationship — not the end of a project.
What we keep under optimization
Nine disciplines, grouped into one operating cadence — applied to the AI-enabled workflows, integrations, and operating systems we manage.
Operate & observe
Scheduled checks confirm workflows still run as intended; alerts surface failures early; recurring errors get diagnosed at the source rather than retried blindly.
Maintain & document
Documentation stays current as the system evolves; changes move through a controlled process; model and vendor drift is tracked so behavior, cost, and limits stay within expectation.
Review & adapt
Periodic usage and performance reviews show where the system is and isn't working; when the underlying process changes, the workflow is adapted to match rather than left to diverge.
What it catches
Monitoring catches the failed integration before the next business day, and the connection is restored under change management — before anyone downstream notices.
Drift review flags the change, and the workflow is tuned or re-pointed so output quality, cost, and limits stay within expectation.
The workflow and its documentation are updated so the system reflects how the work is actually done — not how it was done at launch.
A quarterly performance and usage review identifies the cause and right-sizes the configuration before it becomes a cost or reliability problem.
The standard
Every system we keep under optimization carries the same discipline we build with — ownership, permissions, monitoring, documentation, and human oversight maintained over the life of the system, not just at launch.
Related
Tell us what you've launched and what you're responsible for keeping alive, and we'll help define the right ongoing-optimization cadence.
