4 articles on this topic.
Every team wants a company brain its agents can draw on. The hard part is not storing knowledge. It is deciding who owns each piece of context, who may read it, and how to trust an answer three models read three ways.
Multi-agent systems distribute responsibility across a network. Governed execution keeps authority, evidence, approvals, and accountability intact as work moves.
Open protocols are solving how agents reach tools. The harder problem is deciding what an agent may do, proving what it did, and stopping it mid-run. Here is how we think about that.
An audit trail is not a transcript dump. For autonomous AI work, it should show the goal, plan, tools, evidence, decisions, approvals, and final outcome in a way humans can reconstruct.
