The Chaos
Chaos: Why Do You Need an AI Agent to Manage an AI Agent?
The mystery of the AI Agents managing AI Agents and being monitored by human supervisor managing the performance of all the AI Agents. What thread is to be pulled here?
Agent
Signal: Zombie Agents from Dead Pilots
How does this show up? A pilot still has access to data but no one uses it. Two teams maintain separate agents for the same workflow.
Playbook: Quiet Decommissioning of Zombie Pilot
AI pilots often fail quietly because of its artificial intelligence. They may not be scaling, but they also do not die. They will keep consuming tools, attention, data access, and trust.
Signal: AI changes Supervision, not just automate tasks
How to start understanding the changes in supervision required for AI/Agents. This is not a job loss model but an introduction to how job transforms with AI.
Playbook: Human + Agent Team Design
The Human & Agent Design encourages you to Design the Work Before the Role Panic. The question is not only what AI does but who supervises to catch exceptions.
Signal: Job Fear starts with Fuzzy Decision Rights
Job loss anxiety is here; connecting the decision rights of your tech stacks like AI/Agent will help add clarity to this discussion. The higher the Agent autonomy, the more clearly the human role must be designed.
Playbook: Autonomy Ladder; what AI is allowed to do
Do you know what your AI/Agent is allowed to do? Use this playbook to get familiar with understanding how much action the system is actually allowed to do.
Signal: Who Catches the Agent when it is wrong?
Who catches it when it is wrong? A readiness gate does not slow humans down. It makes sure humans know how to supervise, correct, and rely on the system once it touches real work.
Playbook: The AI/Agent Readiness Gate
Use this playbook to help review conditions to be met before an AI workflow, copilot, automation, or agent is allowed to move from pilot into live use.
Playbooks
Playbook: Platform Agents do not equal Operating Model
Does connecting AI/Agent to your workflow mean you have an AI operating model or a new tool sprawl new mode aka Agent sprawl? Understand the difference today…
Signals
Signal: A human operator is not a blocker
A human operator in the AI/Agent discussion is getting harder to ignore. Every AI-Enabled workflow needs someone who can be the control layer between platform capability and real impact work.
Notes
Platform Agents don’t equal an Operating Model
An AI Operating model needs to be defined and understood as part of your digitization strategy before adding an Agent. The Agent platform layer is accelerating, you need to guide it.