Traditional commercial models, built on static call plans, product-led communication, and siloed execution, no longer deliver the relevance, responsiveness, and personalization that healthcare professionals (HCPs) expect.
Generative and agentic AI promise smarter targeting, automated content, and self‑optimizing HCP journeys, but many life sciences organizations remain stuck in pilots, fragmented point solutions, and skeptical field teams that limit impact. This Everest Group white paper offers life sciences leaders a practical blueprint to take AI‑enabled engagement from concept to scale.
What you’ll learn:
- Why static, rep-centric models underperform in today’s hybrid engagement environment.
- How unified customer intelligence and modular CEP/CRM architectures support explainable, transparent recommendations that reps trust.
- Where to focus first to turn AI investments into measurable commercial impact, from data foundations to change enablement and incentive redesign.
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