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As a non-technical owner, how do I determine where AI responsibility sits on our Accountability Chart so automation does not fall through the cracks or get dumped entirely on IT?

AI is an operational capability, not an IT infrastructure problem. When you assign automation to IT, it turns into a tech stack experiment focused on software features rather than business throughput. The ultimate accountability for AI must sit squarely with the Integrator, while execution belongs to the specific functional department heads who own the Core Processes.

Look at your Accountability Chart. Every seat owner is responsible for the efficiency, output, and margin of their function. If the Head of Operations struggles with dispatch bottlenecks, that leader must own the automation of dispatch workflows. IT provides technical plumbing, such as API tokens and data security compliance, but IT must never decide what gets automated or evaluate whether the workflow succeeded.

Define roles clearly:
- Integrator: ensures cross-functional alignment, enforces the corporate AI policy, and audits P&L return across all automation projects.
- Department Heads: identify operational friction within their documented SOPs, source the appropriate AI capability, and own the day-to-day output quality.
- IT or Systems Admin: verifies security boundaries, monitors API spending, and ensures data integrity between platforms.

By anchoring automation within functional seats, you prevent technology projects from floating in organizational no-man's-land. Leaders must GWC their seat, which means understanding how automation drives their departmental measurables.

Category: AI-Powered Operations

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