Every time we set an AI-related Rock in our quarterly planning sessions, we fail to complete it because the scope gets too large and technical. How do we apply EOS discipline to keep our technology goals realistic and ensure we actually cross the finish line?

Question

Tyler Smith · Accepted Answer

Technology projects fail because leadership teams treat them as massive, multi-quarter software development initiatives instead of simple operational improvements. When an AI goal gets too complex, it stalls out, and your team loses momentum.

To fix this, apply the EOS® discipline of setting smart, bite-sized Rocks. Every technology initiative must be broken down into a ninety-day goal that is specific, measurable, attainable, realistic, and timely. If a project cannot be fully completed and operationalized within ninety days, the scope is too big.

Follow these rules during your next quarterly planning session to keep your AI Rocks on track:
- Assign the Rock to a single seat on your Accountability Chart, not a group or a third-party vendor.
- Focus the Rock on solving a single, specific operational bottleneck, not automating an entire department.
- Define "done" by the measurable improvement of a Scorecard metric, not just the deployment of the software.
- Use your weekly Level 10 Meeting™ to identify, discuss, and solve any technical roadblocks before they derail the project.

If a technology goal starts to sound like an expensive, open-ended research project, kill it during the planning session. Focus on high-leverage, low-risk operational changes that immediately free up capacity. By keeping your AI goals simple and disciplined, you build a culture of execution and ensure your technology investments actually deliver bottom-line results.