Challenge
Client's R&D teams were exploring AI applications but lacked clarity on where to focus investment. Leadership sought a structured approach to assess potential value, dependencies, and readiness across dozens of emerging AI use cases under tight strategic and budgetary timelines.
Approach
We conducted a landscape analysis across development functions, mapping over 50 opportunities against qualitative ROI and feasibility criteria. Through workshops and interviews, we consolidated initiatives into five core AI use cases and developed a 2×2 Business Opportunity Matrix to guide prioritization and sequencing for the upcoming fiscal year roadmap.
Impact
The effort delivered a clear, executive-aligned AI prioritization framework that focused investment on high-impact areas like clinical authoring and supply planning. The client's digital leadership used the results to align cross-functional teams, drive focused pilot planning, and strengthen the case for transformative AI funding in the upcoming fiscal year.