Enterprise search has evolved from keyword matching to semantic search powered by AI. But today’s users expect more than a ranked list of documents. They want to ask a question in plain language and get a trusted, contextual answer, without knowing which system or index holds the information.
In Life Sciences organizations, critical knowledge is spread across Veeva Vault, CRM platforms, medical information systems, regulatory content, knowledge bases, and many other enterprise applications. Traditional search workflows follow fixed, predefined steps, so they struggle to adapt to the wide range of questions users ask across these sources.
This is where Agentic Search becomes essential.
Join FocalCXM for an insightful webinar on how AI agents, Amazon OpenSearch Service, and Generative AI work together to deliver intelligent, conversational knowledge discovery. Learn how an agent can understand a user’s question, decide which tools to use, plan the right search query, and return grounded answers with source references, so users can verify every response.
During this session, you’ll learn:
- What Agentic Search is and how it differs from fixed search workflows
- How AI agents perform index discovery, mapping inspection, and query planning to retrieve enterprise content
- How Query Planning and search templates keep AI-generated queries accurate and controlled
- How Flow Agents and Conversational Agents differ, and when to use each
- How conversation memory enables natural follow-up questions
- How grounded answers, citations, and recommended next questions build trust in enterprise AI
Who Should Attend:
- Knowledge Management Professionals
- Enterprise Search Teams
- Medical Affairs Technology Leaders
- Commercial IT Leaders
- Enterprise Architects
- AI & Data Leaders
- CRM & Veeva Platform Owners
- Enterprise Application & Integration Teams
- Clinical IT Leaders
- Digital Transformation Leaders
Speakers:
Sreeni Aluri:
Sreeni Aluri is a seasoned technology leader with over 20 years of experience helping Life Sciences and Manufacturing organizations modernize enterprise platforms through AI, Search, Data, and Automation. He specializes in Enterprise Search architectures, AI-powered knowledge discovery, large-scale integrations, and building intelligent enterprise solutions that improve productivity, compliance, and business outcomes.
Manogna Batchali:
Manogna is a Software Engineer with 5+ years of experience in enterprise search and AI solutions. She has hands-on experience with OpenSearch, Coveo, and Sinequa, and has worked on enterprise search and Generative AI applications. Her expertise also includes Python, AWS, and Databricks, with a focus on building scalable and intelligent search solutions for enterprise platforms.