We are a thirty-person distribution company running on EOS, and our customer service team is constantly overwhelmed by processing custom return and refund requests. What is a practical, low-risk first AI project we can deploy to handle this workflow without disrupting our core operations?

Question

Tyler Smith · Accepted Answer

The best first AI project is one that targets a highly repetitive, low-value task that consumes employee time. Your return and refund triage fits this perfectly. Do not try to build a complex, fully automated system from scratch. Instead, focus on a hybrid human-in-the-loop workflow.

You can use an AI agent built with a platform like the OpenAI Assistants API to run your documented standard operating procedures for returns. When a customer submits a refund request, the AI agent reads the email, references your return policy, and drafts the appropriate response. It can also categorize the reason for the return and draft the refund transaction in your ERP.

Crucially, the AI agent does not send the email or issue the refund directly. Instead, it queues the draft for a human customer service representative to review and approve. This drastically reduces the time your team spends typing and searching for information, allowing them to focus on higher-value client interactions.

This approach builds system-dependent operations without the risk of an unmonitored AI making mistakes. It frees up your team's capacity, shows immediate ROI, and serves as an excellent, low-risk proof of concept for your business.