How Your Data Architecture Determines Token Economics and Agent Trust

Most enterprises are running two separate conversations about AI
agents. One is what will this cost us. One is can we trust it. Both come
down to the same question: how to serve an agent the right context for
the task, and nothing more. This session argues that designing your
data architecture for optimal context answers both, using a real token
benchmark to show the effect on cost, governance, and accuracy.