A leading global pharmaceutical company, dedicated to advancing brain health and engaged in the research, development, manufacturing, marketing, and sale of pharmaceuticals worldwide, sought to modernize how its field representatives engage healthcare professionals (HCPs). Representatives relied on multiple disconnected systems to plan visits, access HCP data, and follow up on meetings, making day-to-day engagement slow and inconsistent. The organization needed an AI-powered solution that could unify this fragmented experience while ensuring any LLM-driven agent understood business-specific context, rather than functioning as a generic chatbot.
Problem Statement
The client faced significant challenges in equipping field representatives with fast, contextual, and reliable HCP intelligence at the point of engagement. Fragmented HCP data across CRM, sales, and content systems required manual navigation, slowing day planning and visit preparation. Generic LLM-based tools lacked the business context to accurately answer field-specific queries around brand performance, KPIs, and workflows. The absence of a standardized governance framework limited the ability to safely scale AI agent capabilities across use cases and users, while inconsistent access to next-best-action guidance and relevant content led to variable quality in HCP conversations and follow-up.
Impact
- Delivered a web-based solution that guided reps’ day-to-day decisions, from pre-call prep to meeting notes.
- Enabled integration with the client’s existing data sources, layering in next-best-action outputs for tailored recommendations.
- Built an easy-to-use experience for sales reps through interactive chat and voice-based assistance.
- Ensured seamless integration with existing processes and tech stack, minimizing change management effort.
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