TSIA 2026 | October 19–21

Meet Coveo at TSIA 2026

Enterprise service questions rarely have one answer. Coveo helps people and AI find the right one, however complex.


Oct 19-21, 2026
ARIA Resort & Casino, Las Vegas | Booth #320

The right knowledge, right when it's needed

Service AI doesn't need all of your knowledge.

It needs the right knowledge for the user, the issue and the moment. What applies depends on the customer, their product version, their entitlement, their history. And the knowledge that answers it is spread across systems. AI needs the right knowledge and context to deliver guidance customers can trust and move them toward resolution.

What we'll show you:

  • Build a trusted knowledge foundation: Connect enterprise knowledge wherever it lives, without migrating or replacing existing systems.
  • Retrieve and resolve with full context: Understand intent and surface what actually applies to each user and situation.
  • Power adaptive AI experiences: Turn trusted knowledge into contextual guidance across self-service, copilots, agents and custom AI experiences.
  • Accelerate agent resolution: Bring the right knowledge and context directly into the flow of work.
  • Improve continuously: Use interaction signals to find the gaps and raise resolution over time.

Hear our Customer’s Story

See how UKG is scaling trusted AI

October 20 | 4:00 PM

From Answers to Outcomes: How UKG Is Scaling Trusted AI in Service

What does it take to move AI in customer service beyond experimentation and into trusted, enterprise-scale experiences?

Join Allison Brotman, Vice President, Customer Experience Intelligence at UKG, for a candid look at how UKG is bringing AI, enterprise knowledge, and human expertise together to create more trusted service experiences.

You’ll hear how UKG is approaching the move from experimentation to scale, including the role of relevant enterprise knowledge, context, and the customer journey.

Bring us your hardest service AI challenge

Your AI strategy may already be underway. The harder question is whether it has the enterprise knowledge and context to deliver trusted outcomes at scale.

Come find us and tell us what you're stuck on. AI readiness. Self-service that doesn't resolve. Agents searching across systems. Knowledge fragmented across repositories you don't want to migrate. Or connecting any of it to measurable outcomes.