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05Applied pack

Leadership & Adoption

5 modules · 330 minutes of real work · after Core Judgment

05 — Leadership & Adoption

Status: Optional · take this after Core Judgment · do not take it first

Purpose

This pack is for people who allocate money, set policy, own risk, or are accountable for whether AI actually improves results in an organization. It assumes you have completed Core Judgment — the decision filters, accountability standards, and "internal assets vs shiny tools" thinking from Core are required here. The goal is practical: make defensible decisions, run pilots that teach something real, and avoid both reckless adoption and paralyzed non-adoption.

The modules

  1. The 10 Questions as an Organizational Gate — the Core questions, now a gate for any serious proposal, answered at org level
  2. Business Case from Real Numbers — optimism is not a number; start from the current cost of the work
  3. Governance That Does Not Kill Speed — match process weight to actual risk, not to theater
  4. Pilots That Actually Teach — a pilot that cannot change the decision is theater
  5. Ownership When It Breaks — every system fails; the question is whether ownership is clear when it does

Who this is for

Managers, directors, executives, and anyone whose signature appears on a budget line or an adoption decision.

What you will be able to decide after this

  • Which AI bets are worth funding, and what evidence each gate requires.
  • Who owns what when it fails — before the failure.
  • Whether the team is actually ready, or just licensed.
  • How to tell if it paid off — with measures that survive an audit.
  • Where the strategy holds under pressure from the market, the regulator, and the hype cycle.

External frameworks

Worth knowing — not because they are magic, but because they give shared language and structure:

  • NIST AI Risk Management Framework (AI RMF) — voluntary, widely used. Four functions: Govern, Map, Measure, Manage. Has a Generative AI Profile.
  • ISO/IEC 42001 — the first certifiable international standard for an AI management system.
  • EU AI Act — risk-based regulation (prohibited / high-risk / transparency / minimal). Even if you are not in the EU, its categories influence how many organizations think about risk tiers.

Use them as reference points. Do not confuse compliance activity with actual judgment.

Rules of this pack

  1. Every module produces a decision document: a brief, a map, a playbook — with a named owner and a gate.
  2. Core Judgment is assumed. The 10 Questions are your opening move, not a lesson here.
  3. 45–90 minutes per module. Executives don't get longer modules; they get sharper ones.

The checkpoint

You are getting value from this pack when you can:

  • Use the 10 Questions as a real gate, not a formality
  • Build a business case from current numbers and testable assumptions
  • Design governance that matches the risk instead of adding theater
  • Run pilots that can change the decision
  • Name clear ownership for failure and recovery

If proposals are still advancing on optimism, demos, or vague strategic alignment, stay here and tighten the decision standards.

The modules

The 10 Questions as an Organizational Gate

~75 min

Artifact: All ten questions answered in writing at the organizational level for one real (or realistic) AI proposal, ending with a clear recommendation: Proceed / Fix prerequisites first / Kill it

Verify: Share the answered list with someone who has budget or operational authority. If they identify an unanswered or weakly answered question that would change their decision, address it before proceeding

Business Case from Real Numbers

~75 min

Artifact: A one-page business case for a real or realistic AI initiative — current baseline numbers, expected changes, all major cost categories, the assumptions that would most affect the result, and how/when the numbers will be checked after launch

Verify: Have someone skeptical (finance, operations, or a peer who has seen failed initiatives) review the assumptions. If a key assumption is untested or unrealistic, revise or flag it explicitly

Governance That Does Not Kill Speed

~60 min

Artifact: A simple governance rule set for AI use in your context — what needs only team-level judgment, what needs explicit review, and what is prohibited without senior approval — short enough that people will actually read and use it

Verify: Test the rules against three recent or realistic cases (one low-risk, one medium, one high). If the rules create obvious bureaucracy for the low-risk case or leave the high-risk case under-controlled, adjust them

Pilots That Actually Teach

~60 min

Artifact: A designed pilot for one initiative that has not yet been fully committed — primary question, success/failure thresholds, scope, measurement plan, and the decision that will be made at the end

Verify: Ask: "If the pilot fails against the criteria I wrote, will we actually stop or change course?" If the honest answer is no, the pilot is not designed to teach

Ownership When It Breaks

~60 min

Artifact: An ownership map for one real or realistic AI system in (or near) production — monitoring, shutdown authority, communication, and learning, with names or roles rather than department labels

Verify: Walk through a realistic failure scenario with the people named. If any critical action has no clear owner or requires a meeting to decide who decides, fix the map

The gate

Done with the modules? The checkpoint decides whether you leave this pack. No badge — the right to continue.

Leadership & Adoption checkpoint →