Our operations are clogged with highly variable, semi-structured data from hundreds of different client formats, and our team spends hours manually sorting it. How do we use our EOS® tools to prioritize which part of this mess to tackle first with AI automation?

Question

Tyler Smith · Accepted Answer

When you have messy, unstructured data clogging your daily operations, it is easy to get overwhelmed trying to fix everything at once.

To get the highest return on investment, you must systematically prioritize your automation efforts.

Start by listing every cumbersome process that keeps your employees trapped in low-value tasks.

Bring this list to your next weekly Level 10 Meeting™ and use the IDS® framework to evaluate each item.

Prioritize using AI to increase employee productivity as your starting point, as payroll is likely your largest P&L item.

Look for the highly manual, repetitive sorting tasks that consume the most staff hours.

Evaluate each bottleneck based on its potential to free up your team for higher-value strategic work.

Once you identify the single biggest bottleneck, make resolving it a company Rock for the quarter.

Assign clear ownership of this Rock to a specific seat on your Accountability Chart.

By focusing your energy on one major operational mess at a time, you avoid analysis paralysis and build momentum.

As Andrew McAfee and Erik Brynjolfsson note, the real power of technology comes from redesigning your processes around its capabilities, not just pasting it onto an old system.

Streamlining your data entry first will yield immediate efficiency gains and prove the value of AI to your entire organization.