Why our AI answers like a researcher, not a guesser

Accuracy, reliability and accountability are central to Croner Intelligence, explains Julien Gruhier, head of generative AI

Ask a large language model a specialist question and it will answer – confidently, fluently, and sometimes wrongly. For accountants and tax advisers, that is not acceptable. Accuracy, reliability and accountability are the whole point.

The gap between a plausible sounding answer and a dependable one rarely comes down to the model itself. It comes down to what the system is told to do before the question ever arrives.

The Croner Intelligence virtual assistant is a case in point. Nothing about its underlying model is unusual. What makes its answers dependable is a system prompt that treats reliability as an engineering problem rather than a hope.

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