AI That Employees Actually Use - Human-Centric AI Implementation in Pharma

Industry: Pharma Challenge type: AI implementation · Technology adoption · Operating model design Headline outcome: High adoption from day one. Three-phase roadmap aligned to measurable business impact.

The situation A leading pharmaceutical company was preparing to roll out advanced AI tools - but its history with technology showed a familiar pattern: IT-led launches with low user adoption. The company ran five separate CRM systems, none working well. Teams were sceptical. There was no shared definition of what "effective AI" even meant.

What we did Paused the rollout and ran discovery workshops with commercial, operations, and IT teams to co-create functional requirements. Identified three priority AI applications employees actually needed: SOP navigation, order system connectivity, and at-risk delivery alerts. Derived guiding principles from customer feedback - ease, speed, communication. Built a three-horizon implementation roadmap: quick wins, scalable solutions, long-term integration.

Results AI initiatives now driven by defined user value, not hype. Stronger IT/business alignment. Faster decision-making and proactive customer support. High adoption, because employees built what they use. Three-phase roadmap tied to measurable impact.

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