3 min read

The AI Control Plane Series #3: Tool Access and Action Boundaries

Tool access should be divided into discovery, preparation, and execution, with autonomy calibrated to reversibility and risk. Verb-level limits, dry runs, and approval gates let agents act usefully without granting every workflow the same blast radius.
3 min read

The AI Control Plane Series #2: Identity and Permissions

Safe AI autonomy begins with explicit agent identity: who owns the workflow, whose authority it uses, and which actions, tools, and data scopes it may access. Narrow, revocable permissions turn accountability from fog into an operating control.
3 min read

The AI Control Plane Series #6: Memory and Context Governance

AI systems are only as useful as the context they can access and only as safe as the information they are allowed to retain.
3 min read

The AI Control Plane Series #5: Budgets and Usage Controls

AI budgets belong close to runtime behavior, where ownership, workflow-level limits, routing, and outcome signals can shape spending before invoices arrive. The goal is disciplined investment tied to accepted value and quality, not blunt cost cutting.
2 min read

The AI Control Plane Series #9: Escalation and Human Review

Human in the loop" sounds responsible until you ask where the reviewer sits, what they review, how much time they have, and their authority.
2 min read

The AI Control Plane Series #8: Observability and Audit Logs

Useful AI observability links technical traces to operational evidence: authority, context, tool calls, cost, approvals, edits, and final actions tied to business objects. That audit trail makes failures reconstructable and quiet deterioration visible before it becomes folklore.
2 min read

The AI Control Plane Series #7: Evals and Release Gates

Evals become operational when they function as release gates for changes to models, prompts, retrieval, tools, and routing. Owned quality profiles and explicit thresholds expose tradeoffs before drift, hidden errors, or added review burden reach production.
3 min read

The AI Control Plane Series #10: The AI Control Plane Audit

A serious AI audit looks past demos to test whether live systems have clear ownership, bounded permissions, controlled tools, governed models and context, measurable quality, budgets, and traceable actions. The result exposes operational debt before scale magnifies it.

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