Agentic AI doesn't scale without clean data
67% of companies have deployed generative AI. Only 20% trust their analytical capabilities. The gap isn't a model problem — it's a data foundation problem.
The number has been circulating since the beginning of the year in consulting firm reports. 67% of companies have deployed some form of generative AI. That's the reassuring figure presented at steering committees. The other number, mentioned less often: only 20% of these companies declare confidence in their analytical capabilities. The gap between the two is not a mystery. It is a deferred invoice.
Copilots, chatbots, support agents have been deployed. LLMs have been connected to document bases via approximate RAG architectures. Assistants have been integrated into business tools. And now teams are trying to scale all of this, to automate decision processes, to build agents that actually act within information systems. This is where reality catches up with demos.
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