# The Org Change Playbook

> Transformation management. This is a people problem disguised as a tech problem.

*P14 · Module M5 — Organization Rewrite · The CEO AI Playbook by Stephen Forte*

Canonical: https://academy.buildclub.com/m5/p14-org-change

## Thesis

Manage the change, or the change manages you.

## Key Takeaways

- Manage the change, or the change manages you.
- 88% — of companies report no measurable return on AI investment.
- 70% — of AI value comes from people. Only 10% from technology.
- $62M — written off by IBM Watson Health. The cautionary tale.
- Name the operator you are hiring or promoting — not the architect, the operator.

## The Playbook

1. **Hire the operator** — Not the architect. Not the academic. The leader who has already deployed AI inside a working business unit.
2. **Find the anchor** — One employee already running shadow AI inside your org. They become the internal case study.
3. **Run the BCG sequence** — Technology first (10%), then process redesign (20%), then people and culture change (70%). In that order.
4. **Narrate the restructuring** — If headcount changes come, narrate them as disciplined reallocation before the press does.
5. **Measure people, not throughput** — Track fluency rate, adoption rate, saboteur density alongside productivity metrics.
1. **Days 1–30: Map and shadow** — Two workflows. Named owner each. AI runs alongside the human. Output compared, not deployed.
2. **Days 31–60: Define decision rights** — Which decisions does the agent own. Which require human approval. This is where transformation lives.
3. **Days 61–90: Fluency sprint** — Every employee in the two pilot workflows completes at least one AI-augmented task. No exceptions.
4. **Day 90: Measure both columns** — CFO column and CHRO column. Present to the board as a dual metric.

## Key Numbers

- **88%** — of companies report no measurable return on AI investment. (PwC CEO survey)
- **70%** — of AI value comes from people. Only 10% from technology. (BCG 10-20-70)
- **$62M** — written off by IBM Watson Health. The cautionary tale.

## What to Do Monday

- Name the operator you are hiring or promoting — not the architect, the operator.
- Find the internal anchor — the one employee already running shadow AI. That person becomes your case study.
- Add the CHRO column to the next AI program review — fluency rate, adoption velocity, saboteur density.
- Draft the restructuring narrative before you need it — narrative is a strategy input, not a comms afterthought.
- Run the 90-day shadow mode starting next Monday — two workflows, named owners, one metric each.

## FAQ

**What is the core idea of The Org Change Playbook?**

Manage the change, or the change manages you.

**What does the data say a CEO should pay attention to?**

88% of companies report no measurable return on AI investment. 70% of AI value comes from people. Only 10% from technology.

**What should a CEO do Monday morning after reading The Org Change Playbook?**

Start here: Name the operator you are hiring or promoting — not the architect, the operator; Find the internal anchor — the one employee already running shadow AI. That person becomes your case study; Add the CHRO column to the next AI program review — fluency rate, adoption velocity, saboteur density.

**What are the steps in The Org Change Playbook?**

1) Hire the operator; 2) Find the anchor; 3) Run the BCG sequence; 4) Narrate the restructuring; 5) Measure people, not throughput.

**Where do the claims in The Org Change Playbook come from?**

The playbook cites BCG 10-20-70 study; IBM Watson Health (public record); BCG AI value distribution study; MD Anderson Internal Audit Report.

## Sources

- BCG 10-20-70 study
- IBM Watson Health (public record)
- BCG AI value distribution study
- [MD Anderson Internal Audit Report](https://www.statnews.com/2017/02/13/md-anderson-ibm-watson/)
- BCG 10-20-70
- Block/Square restructuring (public)
- AT&T AI restructuring (public)
- [Block Q4 2024 Shareholder Letter](https://investors.block.xyz/financials/sec-filings/default.aspx)
- [NVIDIA case study: AT&T AI agents](https://www.nvidia.com/en-us/case-studies/att-drives-ai-agents-with-nemo/)

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