Home Case Studies AI Copilot for Drug Pricing Negotiations

AI Copilot for Drug Pricing Negotiations

Multi-billion-dollar industry leader

The Copilot significantly reduced preparation time by automating research and analysis, freeing negotiators to focus on strategy.

Meet our client

Client:

Multi-billion-dollar industry leader

Industry:

Healthcare / Pharma

Market:

Europe

Technology:

LLM

Client’s Challenge

A global pharma leader faced the challenge of preparing for reimbursement negotiations by manually reviewing vast amounts of documentation, including past cases, competitor outcomes, and complex drug data. Traditional search tools fell short, as success required summarizing and interpreting long, nuanced texts rather than retrieving isolated facts.

Our Solution

We built the Pricing Copilot, a RAG-powered assistant tailored for drug negotiations. Leveraging long-context processing, it analyzes and synthesizes extensive documentation, delivering accurate summaries and insights that go beyond the limits of standard retrieval systems.

Client’s Benefits

The Copilot significantly reduced preparation time by automating research and analysis, freeing negotiators to focus on strategy. This enabled faster preparation, better-informed decisions, and ultimately more effective negotiation outcomes.

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