AI Strategy / The Decision Room

This is what your board receives on Day 5.

Methodology by Regan Inkster · Author, Two-Quarter Warning

Nine artifacts. One workbook. One governance charter. Zero ambiguity.

Most strategy engagements end with a recommendation. This one ends with a decision room: the artifacts, models, and governance your team needs to choose a path and start moving. Built in five days. Owned by you.

Enter a decision window See the artifacts ↓

Not a report

Three things consultancies don't do.

THEY RECOMMEND.

WE PRESENT OPTIONS.

Three options, each internally consistent, each with consequences. No "Option B is the balanced approach." Each option declares its posture across seven tensions and holds it.

THEY HAND OFF.

WE HAND OVER.

The workbook, the move cards, the governance charter. They become your operating instruments, not our IP behind a retainer.

THEY RANK.

WE REFUSE TO RANK.

No ranked shortlist. No scored recommendation. Phive designs the architecture. The board makes the call.

How Phive differs, in full →

What the board leaves with

Reports describe. This decides.

Nine artifacts assembled in five business days, each one designed to be lifted into a board pack or operating cadence. All of it rests on one question: how well intent, reality, and action stay connected, from the boardroom to the frontline. We call that coherence.

01Artifact

Story Map

The narrative spine. How all nine artifacts connect, in the order the board should read them.

Answers: Where do I start?

02Artifact

Process Overview

Diagnose → Synthesize → Decide. The 12-skill analytical spine and the bias-guard discipline behind the work.

Answers: How was this built?

03Artifact

Aspiration → Gap Bridge

FY current → FY target waterfall. Eight aspiration drivers, quantified across 10,000 Monte Carlo runs: simulated futures, not a single point estimate.

Answers: How big is the gap, really?

04Artifact

Three Options + Four Decisions

Three options, each declaring an explicit posture across seven binary tensions. No split-the-difference compromise.

Answers: What are my choices?

05Artifact

Competitive Implications

10-dimension AI capability gap matrix vs. direct competitors and AI-native disruptor cohorts.

Answers: Where do we stand against peers, and who could eat our lunch?

06Artifact

AI-Native Moonshot

The shadow view: what FY+5 looks like if the organizational constraints were removed.

Answers: What's possible if we were starting from scratch?

07Artifact

Coherence Leadership Office

The charter for a standing executive body: membership grid, operating cadence, decision rights, kill-switch authority.

Answers: Who runs this after you leave?

08Artifact

14 Move Cards

Each readable in 60 seconds: purpose, provenance, expected impact, owner, sequence window, risk, buy / partner / build.

Answers: What do we do, and who owns each piece?

09Artifact

Terminal Deck

~40 slides, a ~40-minute board walk-through. The complete narrative, from diagnosis through decisions.

Answers: What does the board see?

Plus the working layer underneath

Formula-traced workbook: 11+ tabs, 277+ formulas. Change one assumption and the model recalculates.
Cost workbook: capex and opex by move, by year, by option.
Glossary: every term, framework, and acronym defined in plain language.
Monte Carlo summary: top-5 variance drivers identified across 10,000 iterations.

How it's built

Five business days. No discovery workshops. No questionnaires.

Day 1
Outside-in Intelligence Baseline
Phive arrives with the diagnosis already complete. Company research dossier, outside-in coherence scan, change capacity score, in-flight initiative inventory, baseline economics. All of it presented to the executive team.
Produced · Process Overview · Aspiration → Gap Bridge · initial hypothesis
Day 2
Pressure-test the read
The executive team responds to the Day 1 hypothesis. The data no outside read can see gets layered in: initiative budgets, team capacity, political constraints, board mandates.
Produced · Refined assumptions · validated and challenged hypotheses
Day 3
Diagnose Friction and Capacity
The rebaselined model is presented. The honest view, once outside-in intelligence meets inside reality. The gap between aspiration and bias-filtered reality, quantified.
Produced · Competitive Implications · AI-Native Moonshot · rebaselined gap analysis
Day 4
Model Internal Reality and Trade-offs
Three tension-spanning options are presented and stress-tested. The workbook updates in real time as assumptions shift.
Produced · Three Options (refined) · 14 Move Cards (with confirmed owners) · workbook (assumption-aligned)
Day 5
Decision path & roadmap
The complete Decision Room is delivered. The executive team leaves with everything they need to present to the board and begin execution.
Produced · Terminal Deck · CLO Charter · complete workbook · cost model · glossary · story map

Artifact previews

Look inside the artifacts.

Six of the nine, open for inspection. Based on a real outside-in analysis. Company identity removed.

Aspiration → Gap BridgeHow big the gap really is, across 10,000 Monte Carlo runs

Artifact 03AnonymizedPublic apparel companyn = 10,000

The forecast with the optimism taken out. Bias-filtered Monte Carlo with sector base rates, mean-reversion correction, brand pressure spillover, AI execution discount, and survivorship correction.

$11.9B

P10 · Downside

$12.9B

Mean = Median (P50)

71%

P ( ≥ $12.5B target )

$13.8B

P90 · Upside

Bridge · FY25 baseline → FY29 mean

Eight aspiration drivers · post-discount, mean values

Three Options + Four DecisionsThree postures, no split-the-difference compromise

Artifact 04Tension-span testedNo split-the-difference compromises

AOffensive

Compress the AI portfolio. Move now.

All accelerated moves pulled into Year 1. China stack and lean back-office on first-half timing. Capex front-loaded; coherence load deliberately managed.

Postures declared

·Speed > Diligence
·Concentration > Diversification
·Offense > Defense

BDefensive

Stabilize first. Earn the right to push.

Coherence-recovery initiative leads. Move portfolio gated on stabilization. Slower aggregate growth but lower failure probability.

Postures declared

·Diligence > Speed
·Sequence > Compression
·Defense > Offense

CGated phase change

Phase 1 identical to A. Phase 2 unlocked only if gate is met.

Year 1 = Option A. Year 2-3 unlocks B's incremental moves only if five named gate conditions are met. Structurally bounded. No split-the-difference compromise.

Postures declared

·Conditional > Permanent
·Tested gates > Unbounded latitude

The four decisions belonging to the board

1Choose option A, B, or C, based on appetite for offense, capacity for absorption, and tolerance for variance.
2Set the gate conditions that unlock Option C's Phase 2. Concrete, named, and time-bound.
3Confirm the four board-level parameters that still need tightening before commit.
4Approve the CLO charter and name the standing membership.

14 Move CardsThree of fourteen, each readable in 60 seconds

Artifact 08Three of fourteen60-second board readsAnonymized

Every move declares its purpose, its provenance, expected impact post-discount, an owner, a sequence window, and its primary failure-mode risk.

M001

Y1 H1

Supply Chain · Operations

Demand forecasting industrialization

EXIST-ACCELai-007

Accelerate the existing demand-forecasting platform from pilot to production scale. PAVE data substrate as the foundation. SKU-level forecast accuracy → markdown reduction → margin recovery.

Expected $: $35–70M revenue + $40–60M margin
Value score: 0.65 (MEDIUM)
Completion: 65%
Primary risk: Data quality (DC coherence)
Buy / Partner / Build: BUILD on PAVE

Owner · CDO sponsorshipDrivers · D1, D5

M003Urgent

Y1 H1

Guest Support · Customer Experience

Service Cloud KPI broadening

EXIST-INTERVENEai-005

Pre-condition for Agentforce. Broaden Service Cloud KPIs from speed-only to trust + helpfulness. Surface the green-dashboard / red-X-Ray gap. Direct $ is zero. It enables $120-200M downstream.

Expected $: $0M direct · enables $120–200M downstream
Value score: 0.29 (CRITICAL — interventionable)
Completion: 65%
Primary risk: Sponsor evaporation; political resistance
Buy / Partner / Build: PARTNER (CLO External + Salesforce)

Owner · VP Guest SupportDrivers · D4 (NPS recovery foundation)

M004Urgent

Y2 (gate)

Guest Support · Conversational AI

Agentforce gated activation

EXIST-INTERVENEai-009

Activate conversational AI only after Service Cloud KPIs are broadened (M003) and trust-erosion gates clear. The payoff is asymmetric: $20-40M upside if gated, large value-at-risk if ungated and trust collapses.

Expected $: $20–40M upside · -$0.8–1.2B if ungated
Value score: 0.14 (HIGH RISK — gate-conditional)
Completion: 30% (gate-conditional)
Primary risk: Trust erosion (CRITICAL amplification)
Buy / Partner / Build: PARTNER (Salesforce + KPMG + CLO External gate)

Owner · VP Guest Support · CLO collective approvalDrivers · D4

Eleven more cards complete the portfolio. Every card carries the same structure. Every owner is named. Every sequence window is bounded.

Story MapDiagnose, synthesize, decide. Nine artifacts, one story

Artifact 01How the nine artifacts tell one story

Every artifact is the output of a specific skill block. Each column shows what gets produced and what feeds the next phase.

DiagnosePhase

Skill #0Company Dossier
Skill #1OM + X-Ray
Skill #2Baseline + Unit Econ
Skill #2.5In-Flight Inventory
Skill #4 · ΦCoherence Score 0.405
Skill #4 · CCCapacity 39 · Load 2.69

Outputs

Current-state map · capacity scoring · in-flight load

SynthesizePhase

Skill #3Aspiration + MC Anchor
Skill #5Competitive Scan
Skill #6AI-Native Disruptors
Skill #7Move Provenance Map
Skill #8Pre-Mortem · 17 FMs
Skill #9Buy / Partner / Build

Outputs

Bias-filtered hypothesis · competitive frame · provenance

DecidePhase

Skill #10Three Options Architecture
Skill #11Four Board Decisions
Skill #12Move Cards
Skill #13CLO Charter
Skill #14Terminal Deck

Outputs

Three options · four decisions · 14 moves · CLO charter

One anchor→ three options →four decisions· assembled into the Terminal Deck and lifted into the board pack

CLO CharterThe standing body that runs this after Phive leaves

Artifact 07Membership anonymized to role

Not a recommendation. A standing executive body with named seats, defined decision rights, operating cadence, and kill-switch authority.

Chair · CEO

Owns the coherence-to-strategy linkage. Final authority on portfolio kill / continue / pivot.

CFO

Owns workbook P&L translation governance. Vetoes inflated benefits-register claims.

CDO

Owns the AI infrastructure portfolio (PAVE Databricks substrate).

Chief AI & Technology

Owns AI-specific roadmap and execution.

CHRO

Owns change-capacity intervention and middle-management activation.

CCO

Owns brand integrity through transformation. Customer-facing AI quality.

CPO (when seated)

Owns product cycle discipline restoration. Independent voice in CLO.

VP Guest Support

Owns the two highest-amplification-risk moves: Service Cloud broadening and Agentforce gated activation.

External · Coherence

Independent specialist: coherence measurement, capacity scoring, refusal-to-rank discipline.

External · AI Strategy

Domain specialist: parameter calibration, bias-guard checks, disruptor monitoring.

12-month success metrics

Baseline → FY27 H1 target · owner attributed

Metric	Baseline	Target	Owner
Coherence Score	0.405	≥ 0.45	CHRO
Transformation Load Ratio	2.69	< 2.0	CEO + CHRO
Concurrent transformations	7	5 (2 paused)	CLO collective
NPS (customer)	41	≥ 48	VP Guest + CCO
CPO seated	Vacant 11+ months	Seated · in CLO	CEO + Board

Operating cadence

Three rhythms · one body

Weekly · 60 min
Move-card status. Risk register. Coherence + Load Ratio cadence. Sponsor evaporation watch.
Monthly · 120 min
Walk-the-Gap parameter review. Pre-mortem refresh. External-member methodology audit. Portfolio rebalancing.
Quarterly · Board cadence
Phase-gate decisions. Coherence + Change Capacity + Load Ratio reporting. Anchor stress test. Kill-switch reviews.

Competitive ImplicationsTen dimensions: ahead on two, behind on four

Artifact 0510-dimension AI capability gapAnonymizedVs direct competitors

Ten dimensions of AI capability scored against the direct competitive set.

AheadParityBehindHigher bar = stronger position

Personalization at scale

AHEAD

Inventory + RFID

AHEAD

Programmatic ad / search

PARITY

CRM & loyalty engine

PARITY

Demand forecasting

PARITY

Localization (China stack)

PARITY

Conversational AI / Agentforce

BEHIND

Generative AI for product design

BEHIND

Generative creative production

BEHIND (vs Alo)

Drop-economy ops cadence

BEHIND (vs disruptors)

The strengths

Personalization at scale and inventory intelligence, both built on years of substrate investment. Defensible if cultivated.

The contested middle

CRM, demand forecasting, programmatic, China localization. Parity today. Won or lost in the next four quarters depending on execution velocity.

The exposed flanks

Conversational AI, generative design, creative production, drop-economy cadence. The four lanes the AI-native cohort is racing to ship in 12-24 months.

How it connects

The sample read is one layer. The Decision Room is nine more.

The sample read on the homepage shows the outside-in coherence scan. That is the diagnostic foundation. The AI Strategy engagement builds nine artifacts on top of it. The sample is where it starts. The Decision Room is what the board gets on Day 5.

See the sample read →

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