Predictive Planning Institute
The Book

Predictive Planning: How AI and Scenario Planning Made Strategy Continuous.

The book that defines predictive planning as a leadership discipline — not a software feature, not a forecasting upgrade, not a futurist narrative. A practitioner-grade framework for the executive layer of an AI-native operating environment.

Predictive Planning by Tim Woodring — the paperback, front cover and spine, with the Scan, Story, Stake, Steer loop mark. Foreword by Thomas J. Chermack.
Published June 2026 · Kindle, Paperback, and Hardcover

Your competitors are buying predictive planning software. Nobody has written the strategy that goes with it.

Scenario planning was invented for a pre-AI world — slow-moving, expert-dependent, episodic. The tools have changed radically. The methodology has not caught up. Meanwhile, enterprise software vendors are seeding "predictive planning" as a vocabulary into every CFO and COO in the Fortune 500, with no strategic framework behind the term. This book defines predictive planning as a leadership discipline — a practitioner-grade framework executives can actually use in the operating environment they actually have.

The foreword is by Thomas Chermack — author of Scenario Planning in Organizations, the standard text on scenario planning methodology. The discipline this book defines builds on the foundation he wrote. He opens it.

Kindle $9.99 · Paperback $19.99 · Hardcover $29.99 · Free on Kindle Unlimited

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Sample figures from the print interior
Figure 1A · Facing-Page Spread, Left

Sources & Ingestion

External and internal sources flow through adapters, a governance gate, and an extraction layer before they reach the math contract on the facing page.

Sources · the worldIngestion + governanceExternalMacro feedsFRED · BLS · BISMarketsFX · oil · equitiesPrediction marketsKalshi · PolymarketNews + regulatoryfilings · comment ltrsTalent + patentjob posts · filingsInternalERP / GLNetSuite · SAP · QBOCap tableCarta · PulleyWork surfacesM365 · Drive · SlackProject toolsLinear · GitHub · NotionCalendarsOutlook · GoogleSelf-reportweekly check-insAdaptersOAuth · API · scrapeRSS · webhook · streamGovernance gateper-channel opt-inper-account scopingaudit log every readExtractionsignal-class normalizeprovenance taggingno raw content storedInference routecustomer-keyed inferenceyour keys, your modelExit posturestructured signal recordshanded to the lattice as P-gradedclasses with ±-weighted edges→ continued on facing pageIngestion cadence (bounded)Daily · ingestion automated, signal queue refreshedContinuous · governance gate applied to every readAudit-grade · provenance + timestamp on every recordpage L
Figure 1B · Facing-Page Spread, Right

Lattice, Modules & Decisions

The math contract composes signals into interpretive surfaces and drives the four decision types that close the Loop.

← from ingestion (facing page)The lattice — one mathModules + agentDecisionsTHE LATTICEone math · one weightingMath contractP1 — P5 priority±1 — ±5 edge weightscoring → all surfacesSignal classes (received)Externalmacro · mkt · newsInternalOperationalKPIsNarrativetone · driftFinancialplan conf.CapitalwindowsPeopleagent-onlyInterpretationComposite indicatorsnamed, methodology pageInterpretive lensesindustry · risk · scenarioComposition canvassignals → typed edges →generated scenarioGovernanceconsent · audit · customer-keyedread-only, alwaysRead surfacesScan Briefranked, contextual newsScenariosprobability-scoredBack-Plan5-yr back-planAdvisory Councilhuman advisory tierInternal readsOperationalstrategy → KPI signalsFinancialforecast-as-scenarioCapitalwindows · refi · raisePeopleteam patterns (agent-only)Synthesisone read, many decisionssynthesis · personalizationrole + disposition tunedStakesizing matrixreversibility checkSteerconvergence reviewadjust / hold / killReforecastresource movecapex envelope shiftBoard briefquarterly scenariorunning postureSteer learnings → next Scanpage R
Figure 4A · Facing-Page Spread, Left

Raw Signals & Composites

The upstream half of the composition surface — raw signals fan into named composites and into the steward's own.

Composition surface · upstreamRaw signals fan into named composites — and into the steward's own.Each typed edge is a relationship the scoring engine respects. The steward node on the right is the artifact that crosses to the facing page.Raw signalsCompositesSteward-builtExternal · P4Capital TightnessIndex0.34 · easingExternal · P3Sector M&A vol.90-day rolling↑ 22%Internal · P4Outbound velocityCadence read24% of targetInternal · P5Exec memocoherence↓ 0.42Composite · P5Refi WindowIndex0.74 · openingmethodology page →Composite · P4Plan CoherenceIndex0.42 · watchfuldrift detected ↑Steward-built · P5Capital DecisionPosture (this org)composite of left ←+ inverse memo coherence+ dampened by outboundsaved as first-class signal→ continued on facing pageHow to read this pageNodes on the left are raw signals — typed, P-graded, ±-weighted, fed in by the lattice.Nodes in the middle are composite indicators — named, methodology-page-documented, recomputed daily.The node on the right is steward-built — the operator's own composite, treated as a first-class signal by the rest of the system.The math primitive is the same at every level — what changes is the author.Edge types on this pageleads-to · forward-positiveamplifies · multiplicativedampens · inverse-multiinverse · forward-negativecontingent · gated on thresholdgenerated · see facing pagepage L
Figure 4B · Facing-Page Spread, Right

Steward-Built → Generated Scenario

The synthesis half — the same scoring engine that powers ranking, probability, and personalization writes the scenario.

← from upstream (facing page)Composition surface · synthesisPress Generate. The same engine writes the scenario.No new math, no new model, no new vocabulary — the steward's composite is fed into the scoring engine and emerges as a named, scored, reversibility-tagged scenario.Steward-built (received)Generated · scenarioSteward-built · P5Capital DecisionPosture (this org)composite of upstream inputs+ inverse memo coherence+ dampened by outboundtreated as first-class signal→ feeds the scoring enginepress Generatesame engine, same mathGenerated · scenario"Refi First,Raise Second"Probability · scored0.71Time horizonQ4 — Q1Implied stakerefi senior, hold raiseReversibilitytwo-way doorWatch signals5 linkedWhat the scenario does next→ Scan BriefScenario summary rankedinto the morning brieffor affected roles.→ Stake reviewSurfaces at the nextmonthly review withconviction + size suggestion.→ Steer watch5 watch signals monitored;scenario convergence /collapse flagged on drift.Edge types · full referenceleads-toforward-positive couplinginverseforward-negative couplingamplifiesmultiplicativedampensinverse-multiplicativecontingentgated on thresholdgeneratedscenario synthesispage R
Contents

Fourteen chapters. Three parts. One loop.

An introduction, fourteen chapters in three parts, a conclusion, and two appendices. Readable straight through for the framework, or referenced chapter by chapter as the discipline is installed.

  1. Introduction — The Plan Was Wrong by April

    An eighty-four-page operating plan, approved by the board in November, operationally false by the second week of March.

Part I — The Planning Crisis
  1. 01
    The End of Annual Planning

    The 142-slide offsite ritual — and the Cycle Audit, two clocks that show why the plan's calendar can no longer keep up with the world's.

  2. 02
    What AI Actually Changed

    Two executives, one Tuesday. What collapsed, what didn't, and the AI/Human Split that keeps judgment where it belongs.

  3. 03
    Prediction Markets — The New Signal Layer

    Kalshi, Polymarket, and market-implied probability as a checkable input to the scenario set.

  4. 04
    Why Software Won't Save You

    The demo room is convincing. The discipline is what the demo assumes you already have.

Part II — The Discipline
  1. 05
    Predictive Planning, Defined

    The full architecture of the discipline — and Woodring's Loop, the four-phase cycle the rest of the book installs.

  2. 06
    Scan — Building a Signal Layer

    A live intake of system data, paid feeds, and human signal — one signal traced end to end, from public source to the steward's morning read.

  3. 07
    Story — Scenarios That Earn Their Keep

    Three named scenarios with indicator sets that make them accountable — and the composition surface that writes them.

  4. 08
    Stake — Deciding Under AI Acceleration

    The Stake Sizing Matrix — scenario, size, reversibility, conviction — and the conversation it forces before the commitment is made.

  5. 09
    Steer — The Continuous Adjustment

    The Convergence Review — scenarios moving between columns, stakes pressed, held, or unwound in the same meeting.

Part III — Installation
  1. 10
    AI as Planning Partner, Not Oracle

    Where the model adds leverage, where it actively misleads, and how to keep both straight.

  2. 11
    Building the Predictive Planning Team

    Eight roles, four phases, a single Accountable per cell — the Loop RACI, and why the org chart has to move with the discipline.

  3. 12
    Killing the Annual Cycle

    The 18-Month Sunset — four phases, named milestones, and the four political problems that run in parallel.

  4. 13
    The Prepared Organization

    The Maturity Read — four phases by four stages, Absent to Compounding — and a Monday morning that doesn't feel like one.

  5. 14
    Choosing a Platform

    The chapter Chapter 4 owes you — how to buy software for the discipline without mistaking it for the discipline.

  1. Conclusion — What to Do Monday

    Most strategy books are read and not installed. The first moves that close the gap.

Back Matter
  1. A
    Appendix A — The Practice: Installing Woodring's Loop

    The installation manual — the Loop, step by step, in your own organization.

  2. B
    Appendix B — The Predictionist: A New Vocation

    The role formalized — what the practitioner of continuous foresight is called, and what the chair requires.

The book also names a new vocation — the Predictionist — formalized in Appendix B. The Predictive Planning Institute is building the certification at /certification.

The book is out

Read the book. Then keep the Loop running.

The newsletter is what comes after the last page — long-form essays extending the discipline, roughly weekly. No funnel, no sequence. Reply anytime.

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Long-form essays on the discipline. Roughly weekly. Reply anytime.