Long-context processing enables the solution to synthesize extensive documentation into concise, relevant insights.
Meet our client
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Client’s Challenge
A global pharma leader needed a more efficient way to prepare for complex, multi-round reimbursement negotiations with public healthcare authorities. Negotiators had to work through extensive historical materials, drug documentation, prior cases, and related therapy data to understand what had been agreed, challenged, or left unresolved. Standard search tools fell short because negotiators needed synthesized context.
Our Solution
We built a RAG-powered assistant that supports negotiation preparation. Users can upload historical negotiation documents and related pharma materials, then ask the Copilot to summarize prior rounds, surface open issues, and help prepare arguments. Long-context processing enables the solution to synthesize extensive documentation into concise, relevant insights.
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.
