Post by RudderStack

The data community has converged on context graphs as what AI agents need. But there's a question nobody is answering: Once agents have that context, how do they act on it safely? Nishant Sharma's latest post in our engineering series argues that decision traces (the exceptions, approvals, and precedents buried in Slack threads and workflows) are just events. And the infrastructure to handle them already exists. The harder problem is what agents produce from that context, and how to make it governed and deterministic at scale. Read Part 3 of the series — link in comments ⬇️