Organizational memory5 min read
Organizational memory is becoming an AI infrastructure problem.
As agents take on longer tasks, context has to carry more than relevant text. It needs sources, permissions, and a history of what changed.
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Ideas for a more accountable organization.
Perspectives, market context, and the choices we’re making about organizational intelligence and AI governance.
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6 articles to explore
Operational intelligence5 min read
Business monitoring needs an evidence threshold.
Richer agent telemetry and enterprise context create more signals. Turning them into useful attention requires a judgment about relevance, support, and consequence.
Read articleAgent governance5 min read
Agent governance has to reach the action itself.
As agents move from answering questions to using tools, oversight needs a clear place in the execution path. Here is how we are approaching that boundary.
Read articleEvidence & verification5 min read
Agent evidence needs a verifiable chain of custody.
Transparency systems offer useful lessons for AI accountability. The important distinction is between preserving a record and proving what that record means.
Read articleOperational intelligence4 min read
Better execution makes the quality of a decision more important.
Agents can make a proposed change easier to carry out. Organizations still need a way to examine its evidence, obligations, and unresolved tradeoffs.
Read articleEvidence & verification5 min read
Incident review needs a record of what was known at the time.
As work crosses people, systems, and agents, a current timeline can hide the information that shaped an earlier decision. Two clocks help preserve that distinction.
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