Another Point of View
OpenAI’s new enterprise research shows execution-focused AI pulling ahead. But agents trained on tickets and docs never capture what your veteran technicians actually see. Capture that visual expertise before it retires.
Read more →Glia’s new AI agents can freeze a lost debit card in seconds, but the expensive support cases are still physical. Here’s why automating the easy tickets won’t fix your cost curve.
Read more →AI just became business infrastructure, and infrastructure is invisible. Customers only feel outcomes: resolution time, first-contact fixes, and effort.
Read more →Meta’s Muse Glimmer makes capable AI agents cheap enough to run on one GPU. But commodity intelligence doesn’t fix truck rolls — AI field service wins on what it can see, not what it knows.
Read more →AI data center construction just hit the skilled trades shortage field service has lived with for a decade. The fix is not more hiring. It is multiplying the reach of the experts you already have.
Read more →Gartner’s inaugural Magic Quadrant declares knowledge management mature. But every KM system assumes problems can be described in words. The hardest tickets can’t be. See the problem first, then the right article applies.
Read more →AI agents that override instructions are a nuisance in software and a hazard in hardware. Why physical escalations need visual evidence a human verifies.
Read more →New Anthropic and OpenAI research shows AI agents ignoring operator instructions. If your agent can close tickets on its own reasoning, you need a verification backstop it can’t fake.
Read more →AI agents now get identities, audit trails, and memory. But when a support case involves a physical problem, all that context still dies at the handoff to the field technician.
Read more →AI agents now have payment credentials and workforce identities, yet they still can’t see a blinking error light. Agency without perception is a liability.
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