“How many of your AI systems would break or quietly degrade if the person who built them left the company tomorrow?”
Most enterprises can't answer that crisply, because most enterprise AI agents were deployed the same way:
The day the builder leaves, the agent is orphaned. It wasn't orphaned when it was deployed. It was orphaned the moment its owner walked out the door. Agent Operations exists to stop that pattern.
Find the agents you have. Install the discipline to keep them from being orphaned.
4 weeks · fixed fee
A diagnostic engagement to find every autonomous AI system running in your business — the agents that take action, often multi-step, frequently without central registration. Not a Shadow IT audit. Not an inventory of who's using ChatGPT. An audit of the agent fleet you didn't realize had become a fleet.
60–90 days · fixed fee
An implementation engagement that installs the registries, named ownership, lifecycle workflows, and knowledge-update cadence a production agent fleet needs to stop generating new orphaned agents. Engineering discipline applied to agents. Most companies don't build this until after something breaks. We install it before.
Four patterns we see most often — usually one of these is what brought you to this page
The analyst who built your three most-used agents got promoted, switched teams, or left the company. Nobody else knows how those agents work, what data they touch, or how to fix them when they break.
An agent silently degraded for six weeks before anyone noticed. Or a workflow stopped working last Tuesday and nobody can figure out which agent owned that step. Now somebody is asking why nothing was monitored.
A regulator asked you to list every AI system processing customer data. An auditor asked for the governance trail. The CIO needs a defensible answer by Friday — and pulling it together is a fire drill, not a query.
A new CIO, CISO, or Head of AI joined and asked the basic question — how many AI systems do we have, who owns them, what are they authorized to do — and nobody could answer crisply.
Four principles from our Agent Operating Model. These are the disciplines an Agent Lifecycle Stand-Up engagement leaves running in your environment.
An agent that isn't in the registry doesn't exist. An agent in the registry without an owner, scope, or sunset date is an open ticket.
Not a team. Not a Slack channel. A single named person with a backup. Unowned production code is the failure mode the entire model exists to prevent.
When a builder transfers teams or leaves, the agents they built are workforce events too. HR offboards humans; somebody has to offboard agents.
An agent you can't observe is an agent you can't manage. You don't promote an agent to higher decision authority without first being able to see how it's behaving.