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Enterprise AI is transforming how businesses operate, but trust remains a challenge. Without clear explainability and consistent outputs aligned with core business logic, risks like costly hallucinations can derail decisions

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AI tools can generate impressive insights but often produce errors known as hallucinations, with studies showing a wide 22 to 94% range depending on use. In legal contexts, Canadian cases reveal over 175 instances involving AI mistakes

Building trust in enterprise AI means ensuring explainability, consistency, and alignment with your business logic. Without these, risks like costly hallucinations or missing audit trails can derail projects

AI tools can sometimes produce errors known as hallucinations, where information ranges from 22% to 94% inaccurate depending on the source