Our team is eager to use AI for high-end strategic forecasting, but our basic daily operations are still clogged with manual data transfer between legacy systems. How do we prioritize where to apply AI first to get the highest ROI?

Question

Tyler Smith · Accepted Answer

Many leadership teams make the mistake of chasing flashy AI applications before securing their operational foundation. This is a distraction that will waste your resources and frustrate your team. You must prioritize your technology investments based on operational efficiency and immediate P&L impact.

Start by prioritizing use cases for AI that improve operational efficiency, freeing employees from low-value tasks for higher-value strategic work. Since human labor is your major P&L item, your initial focus must be on increasing employee productivity.

To do this, integrate AI into your operations by identifying the cumbersome processes that currently keep your employees trapped in low-value tasks. Look at your weekly Scorecard and identify where your team is wasting hours on manual data transfer, report generation, or administrative handoffs. These operational bottlenecks are your high-priority targets.

Bring these bottlenecks to your next quarterly meeting and list them as Issues. Use IDS® to prioritize the top three processes that, if automated, would save your team the most time. Create specific Rocks to automate these workflows over the next ninety days. By focusing on operational efficiency first, you reduce overhead, eliminate human error, and build the clean data pipelines necessary to run advanced strategic forecasting down the road.