We are a 30-person service firm with a small back office buried under customer scheduling requests and billing queries. What is our absolute best first operational AI use case to prove ROI without disrupting our current EOS workflow?

Question

Tyler Smith · Accepted Answer

For a thirty-person service business, the best first operational AI use case is automated client email triage. Do not try to build a customer-facing chatbot. Instead, focus on the low-value administrative tasks that keep your client services team from doing higher-value work. Connect your general support or sales inbox to a simple automation tool like Zapier or Make, and send the incoming messages to an OpenAI Assistant. This assistant should be programmed with your core business rules. Its only job is to categorize the incoming request, extract key client details, and draft a response for your human team to review. This keeps a human in the loop while cutting response times in half. By starting with internal triage, you prove the ROI of your operations-improvement project without exposing your clients to unvetted AI outputs. It also helps your team see that AI is a tool to increase their productivity rather than a threat to their job security. Once this is running smoothly, you can document the workflow in your core processes and formally assign the triage responsibility to the correct seat on your Accountability Chart.