RESHUFFLE An interactive companion to the book

▍ Advisory · How we work together

When AI restacks the value chain, leadership teams have four questions to answer.

01 Your value stack Which of your capabilities does AI commoditise, and which does it elevate into new control points?
02 Your operating model How do today's AI initiatives compound into a coordinated capability rather than fragmenting into local automations?
03 Your ecosystem strategy What role can you credibly occupy when AI restructures how your industry coordinates?
04 Your category creation Can you name and own the new category AI is creating, before the market crystallises around someone else's definition?

Four components of an AI transformation. AI is reshaping your industry from the outside in, and transforms the capabilities that your firm builds inside-out. These engagement models help you make structural choices that shape your transformation journey.

01 Your value stack

AI Value Stack & Agentic Architecture

AI is restructuring the value stack of every industry - making some capabilities commoditised and others suddenly central. The question is which side of that line your firm sits on, and what new positions become possible.

Value migrates. Position before it settles.

What gets put under the lens

Where coordination breaks down across the actors and workflows in your domain
Which capabilities AI commoditises - and which it elevates into new control points
How AI changes the economics of decision support, verification, and cross-actor orchestration
Where AI-native business models can capture durable value, not just productivity gains

What you walk away with

A system-level strategy blueprint: value stack mapping, AI-driven value migration analysis, prioritised control points, monetisation logic, and a portfolio of testable strategic moves.

Go deeper - argument, approach & the lenses we use

02 Your operating model

AI-Native Operating Model

Most AI initiatives mature into disconnected local automations. The risk isn't that they fail - it's that they succeed in isolation and leave you with a more complex operating model, not a more coordinated one.

Compound capability. Don't accumulate automations.

What gets put under the lens

Where current workflows fragment coordination across functions, systems, roles, and stakeholders
Which capabilities should become reusable enterprise infrastructure - verification, decision support, workflow intelligence, proof of completion
Where AI changes the economics of coordination by making activities cheaper, more modular, more observable, easier to reuse
What should be standardised and built once versus kept domain-specific and locally governed

What you walk away with

An AI-native operating model blueprint: current-state coordination baseline, future capability architecture, redesigned decision and workflow flows, and a prioritised implementation roadmap.

Go deeper - argument, approach & the lenses we use

03 Your ecosystem strategy

Ecosystem Architecture & Strategy

Your industry's coordination logic is being restructured by AI. The question isn't how to compete inside the existing structure - it's what role you can credibly occupy when the structure itself shifts.

Own the coordination layer - or be coordinated by it.

What gets put under the lens

The ecosystem's underlying coordination logic, independent of any one player's current position
Who or what needs to be represented - buyer needs, seller capabilities, partner constraints
How trust, evidence, and confidence get governed across actors as agentic systems take on more of the workflow
Where opportunities should be formed - and which actor controls that formation

What you walk away with

An agentic ecosystem strategy blueprint: a clear-eyed view of where coordination breaks down today, the future roles available to you, and the conditions under which each can be pursued.

Go deeper - argument, approach & the lenses we use

04 Your category creation

Category Creation & Positioning

Every deep architectural shift in the AI era moves value toward a new control layer - and whoever names that layer first owns the category around it. Most companies fail despite creating a defensible and counterpositioned architecture by remaining stuck in a non-differentiated narrative - getting filed under a crowded existing category despite having the ability to define your own.

Define the new game - or compete in someone else's.

What gets put under the lens

Whether your advantage is structural - built into your architecture - or a feature competitors can copy
Which inherited category the market is filing you under, and what that framing costs you
The new value unit and new coordination mechanism that would put you in the economic-invention quadrant
Where the category's boundaries must sit - and which adjacent frames would collapse your economics if they absorbed you

What you walk away with

A category operating system: the new game defined, the category logic architected, defensible boundaries drawn ('we are X, therefore not Y'), and a stakeholder-aligned narrative architecture that analysts, investors, customers, and partners all converge on.

Go deeper - argument, approach & the lenses we use

▍ Before the work

Not ready for the deep work yet?

Most teams need a shared language for AI before they need a multi-month engagement. Two formats sit upstream of the four questions.

Keynote speaking

Executive Keynote

A high-impact session that reframes AI as a coordination capability - how it reshapes work, workflows, value chains, and control points. Designed to align senior leadership and create the shared vocabulary the deeper engagements build on.

Request a keynote

Executive education

Executive Education

A structured 2–3 session program that moves from conceptual reframing to applied work inside the client's context. Two-session variant for focused alignment; three-session variant for a more rigorous learning journey with an optional feedback loop between sessions.

Request a session

▍ Advisor to 40+ Fortune 500s

How it sounds from across the table.

“Sangeet's framework changed how our executive team talks about AI. We stopped arguing about which tools to buy and started asking which workflows to redesign.”

- Group CIO, Fortune 100 financial services
“We were ready to underwrite the asset on the same model as a typical services rollup. Sangeet showed us the deal we were buying - a coordination platform with structural network effects. That changed our valuation thesis.”

- Managing director, private equity
“Most strategy advisors come with frameworks. Sangeet comes with the framework that's being cited in our board's reading lists. The clarity of his thinking is genuinely rare.”

- Chairman, multinational manufacturer

Author of Reshuffle (2025) - winner of the Thinkers50 Strategy Award 2025 for the most impactful idea in the field of strategy. Co-author of Platform Revolution, named four times in the HBR Top 10 Must Reads, including the HBR Top 10 Strategy Must Reads.

Retained advisor to 40+ Fortune 500 firms on AI and platform strategy. Senior Fellow at UC Berkeley (Competition Policy) and Dartmouth College (Regulated Ecosystems). World Economic Forum Young Global Leader; member of the Global Future Council on Platforms.

Read the full bio →

So, where does your team start?

If one of the four is the question in front of you right now, the next step is a short call to scope it.

Let's set up a call

Or write directly to sangeet@platformthinkinglabs.com · Platform Thinking Labs.