Neurosymbolic AI moves beyond the limitations of large language models (LLMs) by adding an explicit layer of “symbolic” reasoning - rules and structured knowledge that apply logic that can be read, checked, and enforced. NeSy systems turn the lights on inside the black box, making AI reasoning chains and information streams auditable and accountable.

A statistical system can produce a correct output and be unable to account for it. In functions where a decision has to be defended — to a regulator, a court, a counterparty, an insurer — that gap stops deployment, or permits it while leaving the liability unpriced. Many organisations are now carrying both costs at once: AI stalled at pilot in the functions where it would be most valuable, and AI in production in functions where nobody has established what happens if the output is challenged.