Playbook: Monthly Digitisation Review

AI is making digital work more dynamic but this means faster Agents change, context changes, costs change, permissions change, and usage changes. The portfolio needs a regular operating review mechanism, not a once-a-year strategy refresh.

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: More AI Usage does not equal more AI Value

More AI Usage does not always equal more AI Value, it can bring value but the speed is moving faster than most organisations can absorb. Value discipline is needed to ensure realistic value and ROI estimations.

Playbook: AI Value Ledger: Hours Saved Is Not EBIT

Playbook helps separate soft benefits, useful productivity, exit-rate value, and bankable impact. AI programs often count activity, usage, or claimed time savings long before the business can bank value. The missing discipline is a value ledger that links AI activity to an actual business mechanism.

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.

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…