Ask an infrastructure team how many virtual machines they run and they'll give you a number. Ask...
Organizations deploy AI agents via workflow tools (n8n, Copilot Studio) outside infrastructure control—no agreed definitions, no inventory, untracked at production scale. Creates authorization risk spiral: unknown count → ownership → authority → system access exposure.
Ask an infrastructure team how many virtual machines they run and they'll give you a number. Ask how many Kubernetes clusters they operate and they'll point to a dashboard. Ask for an ai agent inventory and the answer usually becomes a discussion about definitions.
That discussion is itself the problem.
The Classification Problem Nobody Solved
Before any organization can inventory its agents, it has to decide what counts as one. Most haven't.
Example
Agent count is a vanity metric. It tells you about volume, not value. Here is what I track instead after running a one-person AI…
You know how many human users have access to your financial systems. Do you know how many AI agents do?
One widely-shared survey says 42 percent of companies already run AI agents in production. The most...
Most engineers I talk to treat deployment as the hard part. The infra setup, the model fine-tuning,...
When One AI Agent Is Not Enough: A Practical Delegation Pattern for Enterprise Systems A...
A recent paper about AI agents in production revealed something fascinating: Most real-world “AI...
