📝 Workbook · Business · Unit 10

Workbook · 10A — AI at work

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Exercise 1

Exercise 1 — AI-at-work vocabulary

Complete each sentence with ONE phrase from the box.

Word bank — drag or tap, then tap a gap
  1. The memo cited a market-share figure with no basis in any source — a textbook  drop .
  2. No copilot output goes to a client until a  drop  has signed the log.
  3. Every sign-off is captured in the  drop  — initials, date, link.
  4. Before we ship this externally, let's  drop  it — try to make it fail on purpose.
  5. 70% of juniors logged in this quarter — that constitutes  drop , not results.
  6. The number we can't measure yet is  drop  — how well people judge what to keep vs. rewrite.
  7. If the client-facing correction rate doubles, we hit the  drop  and turn it off for that account.
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Exercise 2

Exercise 2 — Quantifier precision

Rewrite each exaggerated sentence with an HONEST quantifier ('most', 'a few', 'hardly any', 'none') and — where relevant — name the exception.

  1. 'Every consultant is already using the tool.'
  2. 'All our client-facing decks go through the copilot first.'
  3. 'No consultant would send an AI draft without checking.'
  4. 'Both risk and legal love it.'
  5. 'A few Tier-1 clients have asked — hardly a signal.'
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Exercise 3

Exercise 3 — Quantifier grammar

Correct the ONE error in each sentence.

  1. 'Every consultants have completed the training.'
  2. 'Most of firms have hit their first client-facing error.'
  3. 'Both of the four partners signed off.'
  4. 'No PII touch the tool.'
  5. 'None of the drafts were sent unreviewed, everyone was.'
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Exercise 4

Exercise 4 — Honest or adoption-dressed-as-success?

Decide whether each line is HONEST (uses quantifiers with a named exception / consequence) or ADOPTION-AS-SUCCESS (universal, unnumbered, unfalsifiable).

  1. 'Most client-facing decks — with a flagged carve-out for the pharma engagement — go through the copilot.'

  2. 'Every junior is using the tool — massive uplift across the board.'

  3. 'Hardly any drafts went out unreviewed — the ones that did are in the log.'

  4. 'All feedback has been positive.'

  5. 'A few Tier-1 clients have asked — I read it as the first three of many.'

  6. 'Everyone learned from the one client-facing error last month.'

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Exercise 5

Exercise 5 — Rewrite the hype line as a policy line

Rewrite each hype line as a testable one-sentence policy that a manager would sign under.

  1. 'We're rolling AI out firm-wide — the future is here.'
  2. 'AI will save junior consultants massive amounts of time.'
  3. 'Every consultant will be trained on the tool.'
  4. 'Client data is safe.'
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Exercise 6

Exercise 6 — Three partners on the copilot rollout

You'll hear three partners brief the Managing Partner on their practice's copilot rollout. Decide which recommendation you'd sign under.

🎙️ Three partners brief the Managing Partner on the copilot rollout — multi-voice

  1. Whose recommendation would you take to the partner call, and why?
  2. Whose brief is adoption dressed as success?
  3. Whose brief has instinct but no discipline?
Show transcript

Anya (Julian):Every junior on my team is using the copilot — literally every one. All our client-facing decks go through the tool first. Massive uplift across the board. Yes, there was that one memo last month, but it's a one-off. Everyone learned from it. Roll to 400.

Tiago (Anika):MOST client-facing decks — with a flagged carve-out for the pharma engagement — go through the copilot. A FEW Tier-1 clients have proactively asked; I read it as the leading edge. HARDLY ANY drafts went out unreviewed; the exceptions are in the log. My rule: NO copilot output leaves this firm to a client until a named manager-or-above has signed the log. Two client-facing corrections in a quarter and I pull the tool from that practice — that's the number.

Clara (Diego):In most cases we sort of review the output — most of the time. I think we should probably have some kind of sign-off. The risk is real, this can't just be a login. But I don't want to slow the team down. Maybe a light-touch review. We should probably discuss it more.

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Exercise 7

Exercise 7 — Write your team's AI-use policy

Write your OWN team's ONE-PAGE 'How we use AI' policy (max 130 words). Cover: (1) the human-in-the-loop rule, in one testable sentence; (2) the three monthly metrics (speed, quality, trust); (3) at least ONE quantifier ('most', 'a few', 'hardly any') used HONESTLY with a named exception. Sign it with a real role.

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