Adding artificial intelligence to existing routines rarely corrects them. It speeds them up. A recent expert conversation from a large software company confirms this, and research backs it up: the DORA report by Google Cloud describes AI as a magnifying glass. Where routines are clearly described, measurable gains appear. Where responsibilities and data stay messy, the weaknesses simply surface earlier.
Mid-sized companies show the same pattern. An assistant calculating on outdated planning parameters does not produce better proposals, only faster ones. An analysis built on inconsistent time recording does not become more plausible through automation.
The lever therefore sits before the purchase: document three core routines, clean up master data in the ERP, put usage rules on a single page, and measure the effect with a few figures. A controlled study showed how far perceived and measured productivity drift apart. Those who calculate instead of estimate gain an advantage that lasts.