𝗡𝗼𝗯𝗼𝗱𝘆 𝗞𝗻𝗼𝘄𝘀 𝗛𝗼𝘄 𝗠𝗮𝗻𝘆 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗧𝗵𝗲𝘆'𝗿𝗲 𝗥𝘂𝗻𝗻𝗶𝗻𝗴

Infrastructure teams can easily count virtual machines. They can show you a dashboard for Kubernetes clusters.

But ask for an AI agent inventory and the conversation changes. People start arguing about definitions.

This debate is the actual problem. Most companies cannot inventory agents because they have not decided what counts as one.

Classification is hard. Look at these examples:

  • Scheduled GPT workflow: Maybe. It uses a model but lacks autonomous logic.
  • Copilot Studio workflow: Maybe. It acts alone but ownership stays with the creator.
  • n8n automation with LLM: Depends. It depends on if it makes decisions or just routes data.
  • Bedbed Agent: Yes. It has a managed runtime and tracked tool grants.

Most companies treat agents as simple workflows. This is a mistake.

A workflow follows a fixed path. An agent makes decisions and takes actions. This difference changes how you govern them.

Agents did not arrive through formal infrastructure procurement. They arrived through business users, developers, and SaaS tools. They bypassed the usual request and tracking systems.

When you classify an agent as a workflow, it stays invisible to your inventory.

Even if you define them, counting them is difficult. Agents are often stateless. They stop running when the task ends, but their permissions remain active. They are dormant, not gone.

This gap creates a chain of risk: Unknown Count → Unknown Ownership → Unknown Authority → Unknown Risk

A basic agent inventory must answer these questions:

  • Who is the owner?
  • What is the authority level?
  • What tools can it access?
  • How does it start?
  • When was it last active?
  • When should it be retired?

The authority level is the most important part. Two agents might access the same tools but have different levels of power. One might only read data while another can approve payments.

Counting agents is an inventory task. Understanding their power is an architecture task.

You must define what an agent is across your entire company. Until you do, your inventory will always be incomplete.

Source: https://dev.to/ntctech/nobody-knows-how-many-ai-agents-theyre-running-26g5

Optional learning community: https://t.me/GyaanSetuAi