What you’ll learn:
- Foundations of conversational search
- Techniques for grounding AI in trusted organizational knowledge
- How to design interfaces for reasoning, guidance, and problem-solving
- Practical requirements for deploying full agentic capabilities
Is an LLM enough to make search intelligent?
Though close to all enterprises are implementing AI in some way, few have scaled beyond the pilot phase. It takes more than tech to turn AI into something trustworthy and reliable. Without grounding AI in trusted knowledge, even the most advanced models fall short of delivering truly intelligent search.
In this masterclass, you’ll learn what it takes to design conversational experiences that are accurate, natural, and ready to scale.
What it takes according to AI experts
Join this in-depth discussion about building AI search experiences that converse, reason, and answer complex queries.
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Core Concepts –
What’s behind the shift from traditional search to LLM-enhanced conversational search
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Trusted Knowledge –
Why grounding is non-negotiable for safe and effective AI in enterprise environments
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Real Use Cases –
Case studies in conversational search for support, self-service, and customer experience
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Strategic Advantages –
Readying AI infrastructure for the future of agentic systems
Today’s users demand more from AI search
Your team should too
According to Coveo’s 2025 CX Relevance Report, 84% of customers struggle to find relevant help. When search fails, 72% of users abandon the site altogether. Join us to learn how the Coveo Relevance Platform delivers conversational search that users won’t walk away from.
