On-Demand Webinar

The Architecture Behind Trustworthy Enterprise AI Agents

Tredence has built AI agents inside some of the world's largest enterprises. Watch them and Atlan map the reference architecture that makes those agents trustworthy, then see the same agent answer the same question once with thin context and once with a governed context layer.

CHAPTERS

What you'll see

01

How to think about building an agent you can trust

The mental model experienced teams use before the first line of code: how they frame the problem, what they set up first, and the questions worth answering before you build.

02

What Tredence has learned building this at scale

The architecture patterns Tredence sees hold up across enterprise agent projects, what teams get wrong before they've shipped anything, and what breaks the moment real users start depending on the answers.

03

The difference, live

One agent, one question, answered twice: once with thin context, once with a governed context layer. A direct side-by-side on how much the foundation changes what the agent gets right.

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