The studies saying AI delivers no productivity gains are already outdated.
Retorio hosts Dr. Oliver Eitelwein (Oliver Wyman) for a 40-minute masterclass on what the latest evidence really says about AI productivity in pharma, and how leading commercial teams are already capturing measurable gains.
The "no measurable AI impact" headline is reading lagging data.
For two years, the dominant narrative has been that organisations adopt GenAI but see no measurable impact. That narrative is becoming outdated.
A new study by Oliver Wyman, Unlocking the Great Health Productivity Reset, developed with Harvard Medical School and Fraunhofer IPA, analyses 200 real-world AI use cases across pharma, medtech, clinical care and insurance. The conclusion is direct: productivity gains are real, they are quantifiable, and the gap between leaders and laggards is widening fast.
For pharma commercial leaders, the question is no longer whether AI works. It is which use cases compound, and which stay stuck in pilot. This masterclass focuses on exactly that distinction.
Frameworks and benchmarks for your leadership team. The same week.
A focused session. No filler.
The productivity reset is already happening
- ·What the new Oliver Wyman study (with Harvard Medical School and Fraunhofer IPA) found across 200 use cases
- ·Why "no measurable AI impact" headlines are reading lagging data
- ·The three adoption pathways, and why halfway efforts are the most expensive option
Where pharma commercial teams capture real gains
- ·What separates the 22% breakthrough scenario from the 4% incremental one
- ·Why workforce enablement and human skills are where commercial productivity actually compounds
- ·The adoption gap: why field teams resist, and what reframes the conversation
AI coaching as a low-friction entry point
- ·Why HCP-facing conversations are the highest-leverage place to apply AI in pharma commercial
- ·How leading pharma teams train at scale on MLR-approved content, with measurable behavioural lift
- ·A short live look at what good looks like, and what the data says about ROI
Live Q&A with both speakers
The macro evidence and the practical entry point.
Macro evidence
Applied use case
Numbers you can use Monday.
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