AI Boss · Module 2 · The AI Boss Today

Knowledge Work: The AI Manager Enters the Office

The lesson follows the AI boss into the office, where it arrives as features: an assistant that names owners of action items, a workflow agent that places tickets, an analytics pane about people. Participants learn the four tests that show when an assistant becomes a boss, what the productivity studies did and did not measure, the transparency paradox, and why such features are technical equipment suited to monitor. They build a feature register on the chapter's model.

Lesson 10 of 33Chapter 1075 minutes

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Learning objectives

After the lesson the participant can:

Key concepts

Four tests
The addressee: the output names and reaches another person. The default: it takes effect unless someone intervenes. The trace: it is stored where it can inform a review. The decision: nobody decided that the feature should perform a management function.
Feature register
An extension of the delegation register that lists features, not products, with management function, usage mode, degree, unit of reporting, prohibited uses, accountable person and agreement status for each.
Transparency paradox
Bernstein's finding that observability can prompt workers to conceal what they do, so that the organisation sees an illusion of transparency; shielding production lines from routine observation improved their performance.
Unit of reporting
The level at which a figure is shown. By default, figures about collaboration, focus or wellbeing go to the individual alone or to groups of at least ten, and are never ranked by person.
Development rule
A rule in a workflow agent's delegation profile, beside the throughput rule, so that allocation does not send every complex case to the fastest experienced handler and starve juniors of the work from which they learn.

Interactive exercises

Do them here and get feedback at once. Choose a card and then where it belongs, or drag it.

Interactive exercise 1 · Match

Office features and usage modes

Match each usage mode with the typical office feature that Chapter 10's table gives for it.

Interactive exercise 2 · Scenario

Personal insights by default

Apply the chapter's rules for deciding about office features to the situation below, which follows Hansa Mutual's worked example.

Teaching plan

15 minThe teacher follows one meeting summary from transcript to task list and shows the degrees: Level 0 Advisory with the chair confirming, Level 1 Assisted, Level 2 Supervised.
15 minParticipants apply the four tests to three features: a meeting assistant, a ticket-allocating agent and an analytics pane showing individual focus time.
10 minPresentation of what was measured in the productivity studies, the transparency paradox, and BetrVG section 87(1) no. 6 read as suited to monitoring.
25 minExercise: groups build a feature register for one office suite and take one entry through the representatives' process on paper.
10 minDebrief with the two decisions: Hansa Mutual's AIDR-0670 keeping analytics switched off group-wide, and Nordvik Region's sample of 12 meetings leading to AIDR-0620.

Discussion

  1. The chapter says the default of most products, distribution of action items without the chair's approval, has to be changed deliberately. Who in your organisation would take that decision, and would they know it was theirs?
  2. Hansa Mutual rejected enabling only the personal insights, and enabling the feature outside Germany. What are the arguments for and against one group-wide standard?
  3. Figures reported at team level, to the team, preserve the space in which people try better ways of working. Where does that argument reach its limit for a manager who must still exercise M5 Care?

Written exercise

Exercise · 25 minutes

A feature register for the office suite

List at least five features, not products, of the office suite, collaboration tools or workflow agents in your own organisation, or use the chapter's examples at Nordvik Region and Hansa Mutual. Apply the four tests to each. For every feature that names or measures another person, write a register entry: the management functions it touches, the usage mode, the degree per function using the chapter's defaults, the unit of reporting, the prohibited uses, the accountable person and the status of the representatives' agreement. Mark any feature that passes the first three tests and fails the fourth, and say what must be decided before it stays enabled.

Deliverable: A feature register with at least three complete entries in the form of FTR-NR-SA-01, and a list of undecided features with the decision each needs.

Self-test

Choose an answer to see whether it is right, or open the answer below each question.

  1. What did Nordvik Region find when it sampled the summaries of 12 pilot meetings from December 2026?

    Show the answer

    A. Of 48 action items, 9 carried owners the chair had not confirmed, and 3 of those 9 people had treated the item as an instruction
    The sample showed that proposed owners were being read as instructions although the profile said Level 0 Advisory. AIDR-0620 therefore changed the pilot so that a summary with unconfirmed owners cannot be distributed.

  2. A feature passes the addressee, default and trace tests but fails the fourth test. What does the chapter call the result?

    Show the answer

    C. An AI boss the organisation did not choose
    The fourth test asks whether anyone decided that the feature should perform a management function, at a stated degree, with a named person accountable. Where nobody did, the organisation has an AI boss it did not choose; the remedy is to decide it.

  3. Why does the chapter say the cited productivity studies of generative AI leave the evidence base for the office AI boss thin?

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    B. They measured AI assisting individual workers; none measured AI performing management functions
    The assistants in the studies supported the worker and, in customer support, reduced the load on the human manager; they did not allocate or evaluate work. So the evidence on AI that assigns, summarises and reports about people is thin.