We are upgrading our operations with predictive AI tools, but my leadership team is deeply divided over who owns the data pipeline: the head of IT or the head of operations. How do we define this on the Accountability Chart without creating new silos?

Question

Tyler Smith · Accepted Answer

An operational transition to AI-driven tools often exposes gaps in your Accountability Chart. If your head of IT and head of operations are fighting over who owns the data pipeline, you have a structural problem. In the EOS philosophy, there can only be one name in any given seat, and every single metric or process must have a single point of accountability.

To resolve this, you must look at your Accountability Chart and define the super-abilities of both roles. Typically, the head of IT is responsible for the infrastructure, system security, software licensing, and data architecture. Their job is to build and maintain the pipe.

The head of operations, however, is the user of that data. They own the operational efficiency, the workflow automation, and the business outcomes that the predictive AI tools generate. Their job is to run the water through the pipe.

Do not try to solve this by creating a joint committee. Sit down with both leaders and clearly outline their roles on the Accountability Chart. If the AI pipeline breaks, IT is accountable for fixing the system. If the AI tools fail to improve operational margins, operations is accountable for the business result. Once these boundaries are clear, have them use their weekly Level 10 Meeting to collaborate on integration issues rather than fighting over territory.