We want to use artificial intelligence to optimize our Core Processes, but we are worried that automating bad processes will just accelerate our mistakes. How do we use the EOS® three-step process documentation method before we introduce AI-powered tools?

Question

Tyler Smith · Accepted Answer

Automating an undocumented or broken process with AI is a fast track to operational chaos. If you train an artificial intelligence model on messy, inconsistent data or ill-defined workflows, you will simply generate errors at a much faster rate. Before you introduce any automation, you must first stabilize your operations using the EOS® Process Component.

Start by identifying your handful of Core Processes. Use the 3-Step Process Documenting method: document, simplify, and ensure they are followed by all. Keep your documentation high-level. Avoid writing hundreds of pages of micro-steps. Instead, document the major milestones and key steps that produce eighty percent of the results.

Once your processes are simplified, you must get everyone on your team to follow them. This step is critical because AI requires clean, consistent operational inputs to function effectively. If different team members execute the same task in five different ways, you cannot build a reliable automation model.

After your team is consistently running on the simplified process, you can then target specific, repetitive bottlenecks for AI integration. Use AI to handle the manual, low-leverage steps within your documented workflow, such as data entry or initial draft generation. This ensures your technology stack is built on a rock-solid operational foundation, maximizing both efficiency and scaling capacity.