Return on Investment · The Three Levels of ROI · October 2026

The number nobody decks

Every AI programme has three numbers. Only the first one makes it onto the slide. What the evidence says about all three, and how to build the business case on the one that reaches the income statement.

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Latest insights
PublishedThree returns, one ruler illustration: three different shapes of value under a single gold ruler that only fits the middle one
Return on Investment
The Three Levels of ROI

Three returns, one ruler

AI value arrives as a return on employees, on investment and on the future. Most programmes judge all three on payback. Includes a five question diagnostic.

Oct 202612 min
PublishedThe number nobody decks illustration: three falling bars, 80, 37 and 6, with only the first framed as the slide
Return on Investment
The Three Levels of ROI

The number nobody decks

Three levels of AI return, three proof numbers. Why the deck shows only the first, and how to build the case on the one that reaches the P&L.

Oct 20269 min
PublishedThe Case for Sovereignty illustration: a stack of five layers, one highlighted with a switch
Macro & Sovereign
Sovereign Stack

The Case for Sovereignty

Sovereign AI no longer needs a business case; the new world order made it. What it actually means, layer by layer, and why it is a delivery problem.

Sep 20265 min
Month by month

Each month one pillar leads with a focus insight.

  1. SeptemberThe Case for SovereigntyMacro & SovereignPublished
  2. OctoberThe number nobody decksReturn on InvestmentPublished
  3. NovemberAdoption is the deliverableClient SuccessComing
The library

Organised by the three questions we keep answering in the field. Linked titles are published; plain text is on its way.

Macro & Sovereign

The macro boundary
What it covers

The limits an AI strategy has to fit inside: jurisdiction, compute and data.

Why a strategy needs it

Every use case sits on layers that someone else may control. The question is whose law can compel access to your data, and which layers you cannot afford to let anyone else switch off. Strategy sets that boundary before use cases are chosen, not after.

See it in practiceThe Case for Sovereignty

Sovereign Stack

Compute, model & data-residency sovereignty

Future of AI

Frontier shifts, read through a delivery lens

  • Agents, demoed and deployedComing Oct
  • The capability curve is not the adoption curveComing Oct
Proposed topics 1

Topics we are working up. Not yet scheduled.

  • Geopolitics of ComputeWhere your model was allowed to be trained

Return on Investment

Where AI actually pays back
What it covers

Where AI pays back, function by function, and how each case is measured.

Why a strategy needs it

A strategy has to say what each initiative returns and when, or it cannot be funded or defended. This pillar separates returns that are proven from returns that are only claimed, so money follows evidence and each case is measured on its own terms.

See it in practiceThe $9 Trillion Signal

The Three Levels of ROI

Quick wins → differentiation → transformation

ROI by Function

The honest maturity map, per business function

Proposed topics 1

Topics we are working up. Not yet scheduled.

  • The Business CaseThe number the CFO recognises

Client Success

Pilot to production, and beyond
What it covers

Moving from pilot to production in a regulated enterprise, and keeping it there.

Why a strategy needs it

A strategy is only as good as its delivery. In The $9 Trillion Signal, Forrester and Anaconda 2026 data put the share of enterprise agent pilots that never reach production at 88%, with governance friction among the causes. The adoption framework sets a named owner, success metrics and a timeline before the programme starts, not after the first sprint review.

See it in practiceProductivity from week one, advantage by design

AI Adoption & Methodology

How programmes actually reach production

Regulation & Compliance

FINMA, EU AI Act & nDSG as delivery constraints

  • Compliance from sprint oneComing Nov
  • nDSG, and the cost of "later"Coming Nov
Proposed topics 4

Topics we are working up. Not yet scheduled.

  • AI-Powered Software Development & SDLCThe SDLC is the first thing AI changes
  • Governance & Model RiskWhen the model is wrong, who answers?
  • Build, Buy & TechnologyThe model you can run beats the one you rent
  • Architecture & Cost-BenefitArchitecture is a cost decision

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