Five moves for AI-assisted due diligence in pharma in-licensing

Most BD teams first used AI to summarise data rooms. That saves time, but a summary does not answer the real diligence question: is there enough evidence to make, price, structure or reject this deal?

In The AI for Pharma Business Development & Licensing Course, Dr Carlos Velez treats diligence as a structured decision process in five moves. Each move builds on the output of the one before.

The five moves of AI-assisted due diligence: thesis tree, claim-evidence map, gap finder, materiality and actions

 

  • Move 1. Start from your own BD thesis. 

    Before any opportunity arrives, turn what you are looking for into a deal-thesis tree: what must be true for a deal to make sense for you.
     

  • Move 2. Map every licensor claim to its evidence. 

    “The asset is Phase III-ready.” If the only support is a proposed trial design in the licensor’s deck, the claim is unsupported, and AI can flag that across an entire data room in minutes.
     

  • Move 3. Find what is missing.

    Use AI to compare what should be in the data room at this stage with what is actually there.
     

  • Move 4. Triage by materiality.

    Not every unknown is a red flag. Separate deal-breakers from issues that change valuation, structure or timing.
     

  • Move 5. Turn risks into actions. 

    Each material issue becomes a next diligence step or a deal term.
     

AI does the volume work in each move. The go or no-go decision, and the accountability for it, stay with the BD team.
 

What this means for licensors


Run the same five moves on your own data room before a partner does. A gap you have found and explained puts you in a far better position than one the licensee uncovers. Also check that an LLM can read your charts: increasingly, the first reader of your deck is a machine.

 

“Learning how to create the five moves, build loops, and use AI to check accuracy and references 
provided valuable approaches that I can apply in my work.”
Viatris
Anwar Jagessar, Senior Medical Manager Business Development - Europe & Canada

 

The course covers how to set up each move with your LLM, including the prompts and the human decision points:

Continue your learning from Carlos

If you’d like to learn more from Carlos, CELforPharma also offers a 1-day, hands-on course where you'll learn how to:

  • Use AI to support opportunity scouting and partner identification
  • Apply AI during asset evaluation and due diligence preparation
  • Structure information and analysis to support decision-making
  • Explore how AI can assist negotiation preparation and deal planning
  • Recognise where professional judgement remains essential when using AI in BD&L

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