Where AI Chatbots Actually Help (And Where They Don't)
AI chatbots aren't a universal fix for customer support. Here's an honest look at where they genuinely help, and where they frustrate users instead.
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Internal automation projects often start well and then quietly become fragile — a script someone wrote two years ago that nobody fully understands anymore.
Before automating anything, map the actual process by hand, including edge cases. Automating a poorly understood process just makes the confusion happen faster and less visibly.
An automation that runs silently and only reveals itself when something breaks is a liability. Logging, alerting, and a simple dashboard showing what ran and when make automation trustworthy instead of a black box.
Most automation failures happen on the 5% of cases nobody thought about. A robust automated workflow has a clear fallback — route unexpected cases to a human rather than letting them fail silently or produce wrong results.
Every internal automation needs a named owner who understands it and gets notified if it breaks. Automation without ownership becomes exactly the kind of fragile, unmaintainable system it was meant to replace.
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