Research Report
The Resilience Report: People, AI & Performance
How do top companies stay resilient as AI transforms performance and culture?
The Resilience Report is an insight into what CPG and Luxury leaders know and do differently to make transformation work.
Why this report matters
AI transformation is failing, and it's not the technology.
Most organisations are well-resourced and technically capable. What derails transformation is what happens between the people: the unspoken fears, the misaligned expectations, the cultural gaps that no dashboard can fix. This report names what's actually happening and what the leaders who get it right do differently.
We explored what really drives AI success beyond the technical: the human side of transformation.
We uncovered three critical fears that, if unaddressed, can quietly sabotage strategy, investment, and delivery. If unaddressed, these three patterns undermine strategy, investment and delivery, even in well-funded, well-led organisations.
Fear of Change
Worry about AI and its impact has become an obstacle to profitability as our people don’t understand the technology and our direction, resulting in unreliable delivery.
Fear of Missing Out
Hype around AI has become an obstacle to innovation as our people are afraid of missing out, so try and do everything, resulting in scattergun investments.
Fear of Not Belonging
Confusion around AI skills has become an obstacle to organizing as our people don’t know where or how they should apply their skills, resulting in haphazard strategy.
What did these leading Consumer Goods and Luxury giants agree on?
That successful companies need a set of Transformation Tools to deploy when facing change. And that having this set of tools has become critical in the context of AI-driven transformation due to the urgency, speed and volatility of today’s economic landscape.
Tackle Messy Spending
Avoid Silo’d Innovation
Address Chaotic Measurement
Resist Hype Without Depth
Rebuild Fragile Governance
What you will learn
The three unspoken fears derailing AI transformation and how to address them
The leadership behaviours that separate resilient organisations from the rest
What People-Ready and Data-Ready organisations do before they scale
How to apply the AI Resilience Framework to your own context
Who this is for
Senior leaders responsible for digital, data and transformation in Consumer Goods and Luxury organisations. Particularly relevant for CDOs, CHROs and CEOs navigating AI investment decisions where the human side of change is underweighted.
Our Valued Contributors
We set out to uncover the real secrets to success by interviewing senior Data & Digital Transformation leaders at global Consumer Goods and Luxury companies including Bel, Beiersdorf, Decathlon, Diageo, GS1, LVMH, Pernod Ricard and Unilever.
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Axel Adida
Beiersdorf, CDO
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Béatrice Grenade
Bel, ex-CDO
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Cédric Lecolley
GS1, Sales & Community Engagement Director
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Dipesh Patel
Expert in Digital Transformation, Change, Data and AI
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Gaël Demenet
Decathlon, Global VP Data & Analytics Customer Growth & Sports Experiences
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Ian Curd
Diageo, Global Lead Data
Foundations
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Luis Freitas
Moet Hennessy LVMH, Senior Director Digital RTC & E-Commerce
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Pierre-Yves Calloc’h
Pernod Ricard Global CDO
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Learn what CPG & Luxury leaders do differently. Enter your details to receive the report and occasional updates from us (you can unsubscribe at any time).
“Resilience is the organisation’s ability to absorb external shocks into its systems and by its people.”
Get People-Ready and Data-Ready with our AI Resilience Approach.
We help leadership teams connect the human and technical dimensions of their business, build clarity, reduce risk, and sustain momentum.
It has been informed by practical experience gained from supporting large-scale transformation programmes across Consumer Goods and Luxury Companies.
Ready to find out where you stand?
The report shows what the leaders do differently.
SIGNAL is the six-week diagnostic that scores your organisation across strategy, people, operating model and data, then names the two or three AI initiatives worth funding. Senior-led throughout, with a roadmap you own at the end.