An Agent-Ready Data Architecture
AI agents may be new, but the data problems they encounter are not. Before an agent can answer a question or take action, it needs to know what data exists, what it means, and how trustworthy it is. A single errant join, stale table, ambiguous definition, or missing access rule can quietly turn an otherwise capable agent into a confident source of bad decisions. And when agents string multiple steps together, even strong accuracy rates can deteriorate quickly.
The good news? Much of the infrastructure needed to solve this problem already exists, if organizations rethink how data is collected…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.