Instead of guessing which internal processes our company should automate with AI, how can we use our existing operational data to pinpoint our biggest workflow bottlenecks?

Question

Tyler Smith · Accepted Answer

Never sit in a conference room with your leadership team and guess where to apply AI. Speculation leads to vanity tech experiments that look impressive in a presentation but deliver zero return on investment. Your operating company already produces thousands of documented confessions of operational pain every single month. You just need to extract and read them.

Use a simple thirty-line script built with tools like Playwright or basic database queries to scrape your internal help desk tickets, warranty claim logs, customer service chat histories, and vendor dispute emails. Run those raw text logs through an LLM to cluster and categorize the most frequent complaints, repetitive employee questions, and recurring operational errors.

The data will quickly reveal where your team is burning hours on low-value, soul-crushing administrative tasks. You might discover that your account managers spend twelve hours every week manually cross-checking shipping delays from three carrier portals, or that your estimating team repeatedly retypes dimension data from PDF blueprints into your ERP.

Those high-volume, low-judgment choke points are your exact automation roadmap. Focus your resources on the processes that liberate your highest-paid employees from low-value busywork so they can refocus their energy on strategic client service and revenue growth.