This 2024 brochure explains how Agentic AI can improve customer service in life sciences by enabling autonomous, goal-driven support that can make decisions and execute tasks with minimal human input. It positions Brillio’s Agentic AI customer service chatbot as a scalable product support layer that handles inquiries, troubleshooting, and order tracking with personalized responses, and it improves over time using shared memory of interaction history. The approach is organized into three modules: perception (collecting data, extracting features, recognizing intent), cognition (setting goals, planning, choosing actions within compliance constraints), and action (executing tasks and adapting in real time). The architecture adds orchestration and governance layers plus an LLM agent marketplace

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