The Missing Human in the AI Loop

Automation Works. Mostly.

More and more things are getting automated, and most of the time, that's fine. AI chatbots and agents handle routine support well: password resets, order tracking, billing queries, FAQs. For predictable problems, they're faster and more consistent than any human team. Nobody's arguing against that.

The problem is what happens at the edges.

The Edge Case No One Planned For

Support isn't just a convenience layer. It's the thing people reach for when they're genuinely stuck: frustrated, sometimes scared, often at the end of their patience. That's exactly when the quality of a response matters most, and exactly when AI tends to fall short.

Not because it's bad technology, but because edge cases, by definition, aren't in the training data.

A friend got a new SIM card. The representative who helped him transferred money into his own personal account: straightforward fraud, committed by someone on the inside. When my friend tried to report it, there was no path. The brand's AI had no category for it. The IVR offered no relevant option. It wasn't a billing error, it wasn't a technical glitch, and no chatbot was equipped to handle it. No human was available to escalate to either. The incident dragged on far longer than it should have.

When Safety Becomes a Support Ticket

Ride-hailing platforms have a version of this problem that's more serious. There have been incidents involving platforms like Uber and Ola where passengers faced harassment mid-ride: being dropped at an unfamiliar location late at night, or a driver refusing to complete a trip. In those moments, a person needs immediate access to a real human. Most platforms offer an SOS button, and that's useful, but it isn't the same as reaching someone quickly who can act. A safety feature isn't a substitute for actual support.