How TsHO embeds artificial intelligence into its production processes

Digital Business published a breakdown of how TsHO, a Kazakhstani manufacturing enterprise, embeds artificial intelligence into its processes. The approach is notable for its sequence: the company did not proclaim a "total digital transformation" but picked specific areas where AI solves a measurable problem — product quality control, load forecasting, equipment maintenance planning.

Industrial cases work differently from office ones: here the effect is counted in defect percentage, downtime hours and raw material consumption, so payback shows quickly and requires no faith in slide decks. The flip side is data discipline: before an algorithm can predict breakdowns, machine readings and repair logs must land in a system, not in a mechanic's notebook.

For Kazakhstani manufacturers — from food processing to construction materials — this case is a useful antidote to two extremes: "AI is not for our shop floor" and "we must build a lights-out factory at once." The working strategy in between: pick one area with measurable losses, put its data in order, give the algorithm one task. If it works — scale to the next area. That way AI on the factory floor pays for itself piecewise, not as one big risky project.