Our management team is pushing to launch several machine learning initiatives this quarter, but I am worried about tech distraction. How do we frame these projects to keep our focus strictly on operational efficiency?

Question

Tyler Smith · Accepted Answer

It is easy for leadership teams to get caught up in the hype of machine learning and lose sight of daily execution. To protect your business from tech distraction, you must establish a strict framing rule: we do not run machine learning projects. Instead, we run operations-improvement projects that happen to use machine learning.

When a department head proposes a new technology initiative, challenge them to pitch the operational bottleneck they are solving rather than the tool they want to buy. If the initiative cannot be tied directly to improving employee productivity, reducing delivery time, or lowering costs, it does not belong on your issues list or your V/TO®.

Prioritize use cases that free your people from low-value, repetitive tasks. Because employees are the largest expense on your P&L, focusing your first automation efforts on administrative bottlenecks will yield the fastest results.

When you write the Rocks for the quarter, define them by the business outcome. For example, set a Rock to reduce invoice processing time by fifty percent, not to install a new machine learning tool. This keeps your leadership team focused on results rather than software. It cuts through the corporate theater and ensures every technology investment directly improves your bottom line.