23/06/2026
โจ ๐๐ ๐ญ๐ซ๐๐ง๐ฌ๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐จ๐๐ฌ๐งโ๐ญ ๐ฌ๐ญ๐๐ซ๐ญ ๐ฐ๐ข๐ญ๐ก ๐ญ๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ฒ. ๐๐ญ ๐ฌ๐ญ๐๐ซ๐ญ๐ฌ ๐ฐ๐ข๐ญ๐ก ๐๐ฅ๐๐ซ๐ข๐ญ๐ฒ.
A month ago, we facilitated a new ๐๐ญ๐ซ๐๐ญ๐๐ ๐ข๐ ๐๐ ๐๐ฌ๐ฌ๐๐ฌ๐ฌ๐ฆ๐๐ง๐ญ ๐๐จ๐ซ๐ค๐ฌ๐ก๐จ๐ฉย with a client, bringing together business stakeholders around one key question:
๐ ๐๐ก๐๐ซ๐ ๐๐๐ง ๐๐ ๐๐ซ๐๐๐ญ๐ ๐ฆ๐๐๐ฌ๐ฎ๐ซ๐๐๐ฅ๐ ๐ข๐ฆ๐ฉ๐๐๐ญ ?
During the session, we worked collectively to:
๐น Map key business processes
๐น Identify friction points & inefficiencies
๐น Prioritize high-value AI opportunities
๐น Define success metrics & business impact
๐น Build a roadmap balancing quick wins and long-term transformation
Because successful AI adoption is ๐๐๐ย about deploying tools.
Itโs about aligning ๐ฌ๐ญ๐ซ๐๐ญ๐๐ ๐ฒย + ๐จ๐ฉ๐๐ซ๐๐ญ๐ข๐จ๐ง๐ฌ + ๐ฉ๐๐จ๐ฉ๐ฅ๐ + ๐๐๐ญ๐.
Thatโs why AI transformation cannot be delegated entirely to IT or innovation teams. As a CEO, your involvement, alongside your ExCom, is critical to drive priorities, accelerate adoption, and turn AI into measurable business impact.
The outcome?
โ
Clear priorities
โ
Actionable use cases
โ
Shared vision across teams
โ
Foundations for sustainable AI transformation
A big thank you to our client for the openness and engagement throughout the workshop.
And thanks to Julien Boistel and Valerie Zapico | Big Data & AI for leading the session, with the support of Magnus Kinder, turning discussions into concrete transformation opportunities.
๐ฌ In your organization, ย ๐ฐ๐ก๐๐ญ ๐ข๐ฌ ๐๐ฎ๐ซ๐ซ๐๐ง๐ญ๐ฅ๐ฒ ๐ญ๐ก๐ ๐๐ข๐ ๐ ๐๐ฌ๐ญ ๐จ๐๐ฌ๐ญ๐๐๐ฅ๐ ๐ญ๐จ ๐ฎ๐ง๐ฅ๐จ๐๐ค๐ข๐ง๐ ๐๐ ๐ฏ๐๐ฅ๐ฎ๐: data quality, use case identification, adoption, or governance?
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