01
AI opportunity identification
Surface where scientific AI can create meaningful value across discovery, development and research operations.
What we help with
Identify and prioritize — before you implement.
02
Scientific workflow analysis
Map how work actually moves from question to experiment, interpretation and decision — and where context is lost.
03
Use-case prioritization
Focus on a small number of high-value workflows rather than a long list of disconnected experiments.
04
Value vs. feasibility assessment
Evaluate scientific impact, operational meaning and implementation realism before committing resources.
05
AI roadmap development
Define where to focus first — without committing to technical implementation.
06
Strategic alignment across R&D, data and technology
Create a shared view of priorities across scientific, digital and technology leadership.
Opportunity identification
AI-Native R&D Lab
Identify and prioritize the highest-value AI opportunities across your R&D.
A focused working session for R&D leaders, scientists and digital teams to identify, evaluate and prioritize the AI opportunities with the greatest scientific and operational potential.
You get
- Facilitated working session
- High-level mapping of selected R&D workflows
- AI opportunity landscape
- 3–5 prioritized AI use cases
- Value vs. feasibility assessment
- Key dependencies and barriers
- Recommended first initiative
- Format
- ½–1 day
- Participants
- Up to 12 participants
- Investment
- CHF 3,500
This is an opportunity-identification and prioritization engagement, not a technical implementation project.
Who it is for
Built for scientific organizations exploring AI with intent.
Designed for biotech, pharma, research organizations and scientific teams exploring how AI can create meaningful value across discovery, development or research operations.
Ready to go deeper?
Once the highest-value opportunities are clear, the next step is to assess the environment and specify what should be built.