Ever wondered how work really gets done in your company, beyond the training manuals and manager's assumptions? 🧐 These “guides” say one thing. Tuesday at 11:40 says another. Someone drags data from a PDF to Excel, retypes it into an ERP, fixes a typo, then starts again. No one calls it a process, because it’s not a process. Rather a lack of ideas on how to automate that.So we decided to watch the work and make it “work”.A tiny desktop agent captured clicks, keys, and which apps were in play. Personal stuff stayed out of scope. Data was anonymized, masked where needed, and locked down. Then AI did the boring part we never have time for. It stitched patterns together and pointed at the loops, the detours, the places where time leaks.This is called Task Mining, a powerful technology that uses software to observe and understand how people interact with their work devices to do their jobs. Forget "big brother" - this is about gaining a crystal-clear, data-driven picture of your operations, all while prioritizing security and privacy through anonymization and granular control.We break down the core concept, explaining how a small software agent captures mouse clicks, keyboard entries, and application usage, then uses AI and machine learning to identify patterns, repetitive tasks, variations, and bottlenecks.

Tune in to discover how to transform vague complaints into data-driven arguments that leadership can't ignore, leading to a workforce that's engaged, productive, and less frustrated by broken processes and terrible software.This episode was created in a partnership with KYP.ai.