4 min read

Operating Structure for the AI Era #7: Centralized AI Team or Embedded AI Capability?

Central teams should own shared standards, infrastructure, governance, security patterns, and reusable components, while embedded teams own outcomes and workflow design. This division avoids fragmentation without turning AI capability into a remote service desk detached from operational context.
4 min read

Operating Structure for the AI Era #6: Supporting Functions Under AI

AI gives supporting functions a path beyond faster service queues. Converting recurring requests, policy guidance, analysis, and approvals into self-serve systems lets staff teams shift from reactive processors to capability owners who make the company easier to run.
4 min read

Operating Structure for the AI Era #5: Managers Become Leverage Designers

Managers become more valuable when they stop serving primarily as task supervisors and information relays. Their higher-leverage role is to clarify outcomes, design workflows and controls, develop judgment, inspect system performance, and shape talent around accountable execution.
4 min read

Operating Structure for the AI Era #4: Agents as the Execution Layer

Agents belong inside owned workflows, not on fictional org charts. Bounded jobs, human accountability, permissions, trusted context, observability, review thresholds, and failure handling turn automated execution into a durable capability instead of a fast-growing source of operational debt.
5 min read

Operating Structure for the AI Era #3: The Return of the Full-Stack Operator

AI expands the reach of operators who can connect business diagnosis, workflow design, tools, data, execution, and management rhythm. Combining adjacent responsibilities around end-to-end ownership reduces handoffs without abandoning specialists where depth, risk, or scale still demands them.
4 min read

Operating Structure for the AI Era #2: Smaller Teams, Broader Roles

Smaller teams become viable only when accountable owners can supervise broader systems, not absorb more tasks. Clear outcomes, reusable workflows, clean interfaces, decision rights, and quality bars convert AI leverage into wider ownership without creating overloaded versions of old roles.
5 min read

Operating Structure for the AI Era #1

AI shifts organizational design from narrow production roles to accountable owners supervising people, tools, agents, workflows, controls, and feedback loops. As execution gets cheaper, structure must elevate judgment, system design, quality control, prioritization, and clear responsibility.
Profile 3 min read

Lessons from Andrew Gillis

Andrew Gillis is founder and CEO of Small Green Computer, where he builds purpose-built systems for high-end digital audio. His work connects open-source telecom architecture, signal integrity, bootstrapping, and simple user experiences.

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