We have hours of Loom screen recordings of our senior operations team performing complex system tasks, but no written SOPs. How do we use AI to convert these raw video files into clear, structured processes for our EOS Process Component?

Question

Tyler Smith · Accepted Answer

Capturing your core processes is often delayed because your experts hate writing documentation. You can eliminate this friction by using AI to turn raw screen recordings into structured standard operating procedures. Start by having your team record their screens using Loom or Zoom while they perform their daily operational tasks, speaking aloud to explain why they are taking each step. Take these video files and run them through an AI transcription service to get a clean text file of the audio. Next, pass the transcript and the video frames into a multimodal LLM. Instruct the model to draft a step by step SOP based on the actions shown in the video and the spoken explanation. The prompt should require the AI to format the output using a clear hierarchy: objective, tools required, step by step instructions, and key screenshots. It should also identify any potential points of failure mentioned by the expert. Once the draft is generated, the seat on your Accountability Chart that owns that specific process must review and sign off on the document to ensure absolute accuracy. This approach allows you to document your EOS Process Component in days rather than months. It moves your business away from tribal knowledge and builds a system dependent operation that is easy to scale, easy to train on, and highly attractive to future buyers.