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CASE STUDY

From idea to program: team of AI-enablers

Exec summary:  

With a global functional team we anchored the story in something simple they could be excited and supportive: an AI and BI enablement for a broader company. 

How we made it actionable: 

  • Value Story workshop → what matters now, for whom, what value team brings. 
  • Role-based 1:1s → product lifecycle, semantic clarity, data quality, privacy, AI. 
  • Tailored workshops  tied to one flagship outcome – position and train the team to become AI/BI enablers for others, with data capabilities they own. 

Impact: leadership visibility, clearer ownership and scope,  defined evolution path the team can walk this year. No AI hype — just consistent steps with enablement by data, DQ, modelling and architecture, policies  - an irresistible powerful combo offer. 

Audience takeaway: We programmed team for success — by linking AI strategy, data, architecture, and role‑based coaching so team shows real progress, not just intent. 

 Context:  

One of company’s vertical function is enabling AI/BI for the data they own and operate, allowing anyone in the broader company to build their own AI/BI capabilities while aligning multiple stakeholders, systems and compliance requirements. 

 Challenges (before we started):

  • Strategy not yet visible enough to executives; need to make value focus fast. Team identity is blurred - great skillset, yet doesn't stick together.
  • Product mindset growing but uneven; architecture and quality practices needed to support AI aren't there. 
  • New roles emerging (e.g., AI lead) and the team needing hands‑on enablement. 

 What we did (advisory, training & coaching)

  • Anchored the effort in an AI/BI enablement narrative: data foundations, semantic clarity, governance and guardrails, with smallest investments that makes progress. 
  • Designed team workshops: a Value Story session and an AI Product discovery + product practice session focused on concrete use cases. Train-the-trainer : what we did together, they could replicate across the company with their stakeholders.
  • A 1:1 role‑based coaching plan for each discipline leader  - product management, semantic layer and architecture, data products, data quality & scorecard, Privacy.

 Outcomes so far: 

  • Direction is accepted to a formal program with Board‑level visibility via the CPO. 
  • Product mindset moved from “talking about AI/BI products” to applying product enablement practices in targeted workstreams. 
  • Equipped with a clear enablement practice that connects business strategy and business needs at enterprise to their daily work and impact/value they make.

 What made the difference: 

  • We connected strategic initiative into powerful and sharp narrative and equipped team & individuals to carry the change in their domain in practical and proven way. 

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