​AI accelerates the work. Who can keep up?

​The workforce capability behind pharma’s digital transformation returns.

​A confidential, interactive two-hour boardroom for senior pharmaceutical leaders exploring whether the expertise, knowledge and decision capacity behind their technology investments can deliver the promised value.

​Talent Science™ from BioTalent maps the capability required at each process step. Workforce Physics models how that capability changes under AI, automation, workforce departures and technology transfer, then estimates the operational and financial consequences.

​Using worked examples and peer discussion, we will examine:

• ​The hidden constraint on AI ROI: when faster systems generate more work than qualified reviewers and decision-makers can absorb.

• ​Capability beneath the headcount: where critical processes depend on too few people with the required knowledge and authority.

• ​Knowledge lost in transit: what happens to expertise during handovers, site transfers and departures.

• ​The economics of automation: where further automation creates decision queues that offset its savings.

• ​The financial exposure: how workforce constraints affect deviations, batch release, programme timelines and usable plant capacity.

• ​The investment decision: how to compare retention, retraining, recruitment and work redesign by cost, expected value and time to impact.

​Participants will leave with a framework for testing one critical pathway, identifying its workforce constraints and bringing those constraints into the transformation business case.

Secure your spot — spaces are limited.