Lead humans and agents

1. 01

   The supervision trap

   When checking and unblocking AI takes more effort than the work it was supposed to save.

2. 02

   Allocating attention: 70/30

   A starting point for discussing how much to delegate and how much to do yourself, adjusted to each task.

3. 03

   Autonomy and boundaries

   Decide what an agent can do on its own and which actions need approval.

4. 04

   Governance and trust

   Set responsibilities, records and evidence, so delegation can grow step by step.

5. 05

   Learning loops

   Turn mistakes, reviews and feedback into changes in how the work gets done.

If every run depends on your attention, delegation just moves the bottleneck to you. You learn to match autonomy, supervision and accountability to the situation.

• Classify tasks by the appropriate level of autonomy.
• Set monitoring points without reviewing everything in the same way.
• Create a feedback loop to improve delegation.

1. Choose a task and assess its impact, uncertainty and reversibility.
2. Define autonomy, expected evidence and situations requiring consultation.
3. Review the results and adjust the rules for the next run.

Fill in the blanks with your own work. This is the deliverable you take out of the module.

Autonomy matrix; supervision agreement; decision log; feedback guide.

Planned for the classes of this module.

L05 to L07 and experience with delegation and quality practices.

Choose this ifI want to expand delegation without becoming the bottleneck for every task.