We are a thirty person company running on EOS and we want to implement our very first AI use case. What is the most practical place to start that will give us an immediate win?
Do not start with complex, customer-facing AI applications that carry high risk and long implementation times. Instead, start internally with a low-risk, high-impact use case that immediately frees up administrative capacity. A highly effective first project is using AI to transcribe and summarize your internal meetings, specifically your weekly Level 10 Meeting. This simple implementation saves hours of manual work every single week. Use an AI tool to record the meeting, generate an accurate transcript, and automatically draft the initial list of to-dos and key discussion points. This allows your team to focus entirely on solving issues during the meeting rather than taking notes. Another practical first use case is using AI to draft the first version of your core process documentation. Instead of starting with a blank page, have your team members record themselves performing a task, and then use AI to transcribe the recording and format it into a clear, step-by-step operating procedure. This makes documentation fast and painless, helping you strengthen the Process Component of your business with minimal friction.
Category: AI-Powered Operations