# The Playbook Structure

The full Agentic AI Strategic Playbook has ten sections. Draft each with the reasoning visible, in the executive's context. The template renders them; you supply the content and confirm it section by section.

## 1. Board narrative (one page)
The standalone one-pager (see `board-narrative.md`). It leads the playbook and also exports on its own. Everything below is the supporting detail behind it.

## 2. The executive's reflection
In their voice: what they learned, what surprised them, what they wish they had known sooner, and what they still need to learn. This is the human spine of the document and the reason it is personal.

## 3. Where the organization stands
The consolidated current-state picture: the AIDE Matrix quadrant, risk posture, readiness scores across the six categories, and the current org shape. One honest paragraph plus the numbers.

## 4. The strategy
The synthesized three-pillar strategy: the beachhead domain, the priority capabilities, the implementation posture, and the strategy matrix of Domain x Capability x Implementation triples. If the three-pillar skill was not run, build a compact version from the gap-fill.

## 5. Phased deployment roadmap
The heart of the playbook. Sequence the opportunities (from the audit's ranked roadmap and the strategy matrix) into phases. Recommended default phasing, adjusted to the org's velocity and readiness:

- **Phase 0, Foundation (0-3 months):** attack the binding readiness constraint, harvest already-paid-for embedded AI, stand up governance and an approval path, and pick one flagship pilot.
- **Phase 1, Prove (3-9 months):** run the flagship pilot to a graduation decision, close the top readiness gap, and build the measurement baseline.
- **Phase 2, Scale (9-18 months):** template the proven pattern across the beachhead domain, deploy the next tier of opportunities, and stand up the first production agents with their RACI and funding owners.
- **Phase 3, Embed (18-36 months):** expand agents across functions per the enriched org chart, move from augmentation toward autonomy where it is earned, and begin the shift toward the node mix the projection describes.

For each phase: the moves, the owners, the readiness gate that must be cleared to advance, and the kill/continue criteria. Every high-priority opportunity must be scheduled to make it beyond the sandbox; a pilot with no graduation phase is a decision that was never made.

## 6. Change management
The transformation inherits the muscle memory of the last big change program. Cover:
- The named change leader and sponsor.
- The literacy plan tied to the readiness scores (who gets trained, when, to what standard).
- The communication rhythm and the narrative given to employees (human nodes moving from labor to judgment, not being replaced).
- How resistance is handled per function, grounded in what the interviews surfaced.
- Incentive alignment: what behavior gets rewarded, so adoption is managed rather than hoped for.

## 7. Workforce impact
State the philosophy first: capacity for the mission, not headcount reduction. Then be concrete and honest:
- Which roles shift from execution to exception-handling and judgment, and what that means for those human nodes.
- Where reskilling is needed and the path to it.
- The redeployment plan: as agents absorb repetitive work, where does freed human capacity go.
- What the organization commits to its people through the transition. A board and a workforce will both read this section; it must be true.

## 8. Value measurement
How value gets proven, so the roadmap keeps its mandate:
- The baseline metrics captured before deployment (cycle time, cost per unit, revenue per employee, error rates, the latency-stack scores).
- The leading indicators per phase (adoption, pilot graduation rate, node-hours redeployed).
- The lagging outcomes (revenue, margin, output multiple against the bear/base/bull scenarios).
- The review cadence and who owns the scorecard. Tie targets to the base-case scenario, not the bull case; the bull case is upside, not the plan.

## 9. Future organization chart
A summary of the target org: the near-term enriched human-and-agent chart and the longer-term greenfield AI-native shape, with the node-mix projection as the connective tissue. Reference the interactive org-chart deliverable if it exists; summarize its endpoint here.

## 10. The personal development track
Built from the reflection's "what I still need to learn." A short, specific plan for the executive themselves: the concepts to go deeper on, the skills to practice, the muscle to build. The playbook is for the organization and for the leader.

## Drafting discipline
Draft each section, show the reasoning, confirm with the executive, and revise. Reuse the exact numbers and rankings from the source skills rather than re-deriving them; consistency across the collection is part of the value. Label anything modeled or gap-filled so the board can see what is measured and what is projected.