Concept card

Take Control Of Your AI Voyage — Your Customers Deserve It

As of 2026-07-23

Edited by Cédric-Olivier Mâry, sole editor and publication director — 27 years in the SAP ecosystem. How these pages are produced, and where automation is used.

What is Take Control Of Your AI Voyage — Your Customers Deserve It?

Retiring the word 'pilot' in 2026 client decks isn't cosmetic — it moves the budget conversation from the innovation slush fund to the operations budget, which is 10-50x larger.

What it is

Forrester's Chief Research Officer Sharyn Leaver frames 2026 as the year leaders must "take control of the AI voyage" — moving from experimentation to committed leadership with sharper customer focus. For SAP analytics consultants, this is the strategic frame to put on the cover of every 2026 client deck.

The Forrester argument has three moves. First, retire the experimentation rhetoric — leaders who still talk about "AI pilots" in 2026 signal lag, not prudence. Second, anchor every AI investment to a measurable customer-value hypothesis (faster financial close = faster supplier rebates = supplier satisfaction NPS). Third, commit executive air-cover for the operating-model changes the technology demands.

For SAP delivery, translate as: stop pitching "Joule pilots" and start pitching "Joule programmes with named customer outcomes". The language change is not cosmetic — it shifts the budget conversation from innovation slush to operations budget, which is 10-50× larger. Consultants who lead with this frame outprice competitors still in pilot-language.

Why it matters

Leaders still talking about 'AI pilots' in 2026 signal lag, not prudence — the language itself has become a competitive tell.
Anchoring every AI investment to a measurable customer-value hypothesis (faster close leads to faster supplier rebates leads to satisfaction NPS) replaces vague ROI claims.
Consultants who lead with 'programmes with named customer outcomes' outprice competitors still pitching pilot-language.

Key points

Retire 'pilot' language; commit to programmes with named customer outcomes
Anchor each AI investment to a measurable customer-value hypothesis
Executive air-cover for operating-model changes is non-negotiable
Pitch Joule programmes, not Joule pilots
Take Control Of Your AI Voyage — Your Customers Deserve It is mastered only when it changes a named buyer decision.
Start with the semantic contract and control model before demonstrating the tool.
Use current SAP, analyst, study, KG, and news signals as evidence, not decoration.
Separate verified facts from directional trends and modeled assumptions.
Define owner, metric, threshold, support path, and rollback before scaling.
For AI use cases, measure reliability, cost, latency, safety, and human validation.

Terms used on this page

Customer-value hypothesis: Falsifiable claim linking an AI investment to a customer outcome.
Executive air-cover: Sponsorship strong enough to absorb operating-model disruption.
Programme vs pilot: Pilot proves; programme commits and budgets to operate.
Decision owner: The accountable person who accepts the trade-off and funds the next action.
Semantic contract: The shared definition of business terms, metrics, entities, and access rules used by tools and teams.
Control plane: The layer that applies policy, access, lineage, monitoring, and escalation across the operating model.
Evidence grade: A label that separates verified fact, directional signal, modeled assumption, and field observation.
Adoption metric: The measurable behavior proving that the concept changed actual work after go-live.

Sources

Full card available to members. What the full card adds: the full decision framework · the SAP vs Snowflake / Databricks / Fabric comparison · the common pitfalls and their fix · the cheat sheet · the architecture schemas · the code blocks.

Open in the app →