AI Adoption in Companies: The Biggest Mistake at the Start

Companies spend millions on AI, yet employees still crunch numbers in Excel, because businesses automate individual departments rather than end-to-end processes. The key mistake: managers don't understand what AI can do, so they keep assigning tasks the old way. Branzi is a platform that teaches managers and product specialists to frame tasks for AI, so the whole chain works in a new way, not just one block.

AI-processed from Habr AI; edited by Hamidun News
AI Adoption in Companies: The Biggest Mistake at the Start
Source: Habr AI. Collage: Hamidun News.
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Companies pour millions into AI adoption, yet employees still type data into Excel by hand.

Why does AI adoption often fail in companies?

Companies roll out AI in isolated pieces rather than as part of an end-to-end process. Analysts, for example, get data three times faster, but managers keep working with the old methods. The transformation stays local instead of spanning the whole process.

ZK
Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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