What workflow automation actually means
Not a black box, not "AI for your business" — workflow automation means finding the specific repetitive steps a person does today (copying data between two systems, checking something manually every morning, compiling a report by hand every Friday) and replacing each one with a process that runs reliably, on its own, with a way to notice if it stops working.
How an engagement runs
Three stages, none of them skippable: a Workflow Assessment to map the process end to end and find out what's genuinely automatable (versus what just feels tedious but actually needs a human judgment call), the build itself, and ongoing monitoring — because automations quietly break when the platforms underneath them change, and someone has to notice before it causes a real problem.
What this looks like when it's real
Two examples from actual builds: a multi-vendor availability monitor that replaced checking four separate ticketing platforms by hand, and the publish-once ingestion and settlement pipeline behind a live subscription product — built so nothing gets touched by hand once it's live.