Straits Institute for Applied AI
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T4-04 · Tier 4 · Special Editions

AI+ Strategy

Build a Future-Proof AI Roadmap for Your Organisation

From AI ideas to a roadmap the organisation actually follows.

Your organisation has AI activity. What it may not have is a strategy — a coherent, sequenced plan that explains why these initiatives and not others, in this order and not any order, toward this competitive position and not a vague sense of modernisation. This book gives Chief Strategy Officers, CDOs, and transformation leads the SIGNAL Framework for reading the AI landscape, the SHAPE Assessment for diagnosing your current reality, and the Three Horizons AI Roadmap for sequencing the next three to five years. Fifteen copy-ready strategy templates included. Built by AI engineers, tested in real transformations.

Tier
Tier 4 · Special Editions
Category
Special
Format
Guide
Updated
Q2 2026
You'll build
  • The SHAPE Assessment — five-dimension AI current-state diagnostic: Strategy alignment, Human capability, Architecture readiness, Portfolio quality, Ecosystem position
  • The SIGNAL Framework — six-dimension external AI strategic context scan
  • The Three Horizons AI Roadmap — Optimise (0–12 months), Differentiate (Year 1–3), Transform (Year 3–5) — multi-year sequencing with explicit logic
  • An AI Opportunity Portfolio prioritised against competitive strategy, not aspirational ambition
  • A roadmap review cadence that keeps the strategy alive, not shelved at the end of Q1
Who this is for

Chief Strategy Officers, Chief Digital Officers, Chief AI Officers, Directors of Strategy, and VPs of Strategy who have been handed the mandate to "produce the AI strategy" or "build an AI roadmap" for their organisation. They are strategically literate — they understand competitive analysis, investment prioritisation, and programme governance. What they lack is a structured methodology for AI strategy specifically: how to analyse their AI starting position, how to sequence the opportunity space, and how to design a multi-year roadmap that the board will approve and the organisation will actually follow.

Also for:CEOs of mid-sized organisations (250–2,000 employees) who are their own strategy function and must personally build the AI roadmap; Chief Transformation Officers designing the multi-year AI transformation programme; management consultants and strategy advisors engaged on AI strategy projects who want a repeatable methodology; Innovation Directors tasked with translating AI potential into a credible investment plan.

You’ll be able to
  • Conduct a structured AI current-state assessment using the SHAPE Assessment across five organisational dimensions
  • Build a prioritised AI opportunity portfolio aligned to the organisation's competitive strategy, using the AI Opportunity Matrix at portfolio scale
  • Design a multi-year AI transformation roadmap using the Three Horizons AI Roadmap model — sequencing Optimise, Differentiate, and Transform horizons with clear success criteria
  • Identify and resolve the four capability prerequisites (talent, data, technology architecture, governance) that determine whether AI initiatives succeed or stall
  • Design an AI transformation programme with functional workstreams, dependencies, and a roadmap review cadence that keeps the strategy alive
What’s inside
Diagnostic
How strategy-ready is your AI programme?
Chapter 1
AI Strategy in Practice Right Now
Chapter 2
What an AI Strategy Actually Is
Chapter 3
Strategic Context — Reading the AI Landscape
Chapter 4
AI as Your Strategic Thought Partner
Chapter 5
The SHAPE Assessment — Where You Actually Are
Chapter 6
The Opportunity Portfolio
Chapter 7
The Three Horizons AI Roadmap
Chapter 8
Capability Architecture — People, Data, and Technology
Chapter 9
Transformation Programme Design
Chapter 10
From Strategy to Action — Stakeholder Alignment and the First 90 Days
Back matter
Skill Summary · Recommended Next Reads · Glossary · Tool Reference

Written by engineers who build production AI systems, not consultants who present them — for strategy leaders who need a methodology, not another opinion.

Appears in 3 bundles
Reads well with

Often packaged with this title.

How this was made

Every AI+ title is written by AI engineers who build production AI systems, then verified by practising professionals in the field it serves. Titles are reviewed quarterly and updated whenever the technology or regulation shifts. Localised editions are reviewed by in-region experts before release.

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