AI and data strategy to accelerate the transformation of a business group
- AI and data strategic model
- AI use case map and prioritization
- Data ecosystem model
The challenge
The business group faced the challenge of defining a common strategy for AI adoption and data management across its different companies, each with distinct dynamics, needs, and maturity levels. The absence of a cross-cutting vision made it difficult to prioritize AI initiatives, identify use cases with the greatest potential, and articulate data generated by the different companies. The challenge was to move from isolated initiatives to an integrated AI and data ecosystem, defining a governance model and organizational structure that would allow scaling capabilities, sharing knowledge, and enabling new business opportunities, especially in highly regulated industries.
Value delivered
We transformed a fragmented vision of AI and data into a cross-cutting strategy for the entire business group, creating the capabilities, structures, and roadmap needed to move from isolated initiatives to an integrated AI and data ecosystem. The consulting engagement enabled prioritizing where to apply AI, how to govern it, how to scale capabilities across companies, and how to turn first-party data into a strategic asset, while also identifying new business opportunities across industries and especially in highly regulated sectors. The result: a common AI and data vision, a prioritized opportunity portfolio, and a concrete path to turn digital capabilities into efficiency, innovation, and new business.