Frontline AI, explained plainly.

Tribal knowledge is the know-how an operation depends on that exists only in the heads of experienced people: the feel of a fastener seated right, the sound a pump makes a week before it fails, the step the manual leaves out. It is undocumented, learned by watching, and lost when the person leaves. Capturing it means recording the expert doing the work, at the point of work, rather than asking them to write it down afterwards.

SOP adherence is the degree to which the work actually performed on the floor follows the standard operating procedure as written, step by step, in order, to spec, on every shift. It is where quality, safety, and compliance are won or lost: a procedure only protects the operation when it is followed, and provably so.

PPE detection is computer vision that verifies protective equipment (hard hats, eye protection, harnesses) is worn where the work requires it, continuously and without a checkpoint. Most systems watch from fixed CCTV cameras; a newer approach runs on the devices workers carry and wear, so the monitoring follows the work instead of waiting for the work to pass a camera.

Frontline AI is artificial intelligence built for the people who do physical work (technicians, operators, inspectors, and field crews) rather than for people at desks. It guides procedures step by step, answers questions grounded in the company’s own documentation, watches for hazards and defects, and documents the work, on devices a worker can use with both hands busy: smart glasses, phones, and tablets.

AI visual inspection uses computer vision to check work against acceptance criteria automatically: every unit, as it is produced, instead of a sample at end-of-line. Trained on your drawings, criteria, and golden samples, it flags a non-conformance at the station where it happened, while it is still one part and not a batch.