When AI Hallucinates, DUKE.ai Doesn’t Guess—It Learns.

A recent conversation with a DUKE.ai client revealed a teachable moment:

One of our bookkeeping customers noticed that 70 out of 1,081 transactions were labeled “unknown.”

This wasn’t a failure—it was a feature.

In AI, hallucinations occur when models confidently deliver wrong answers. It’s often due to lack of context, training data, or bias—and no model is completely immune.

But at DUKE.ai, we’ve built safeguards to prevent bad data from reaching your books:

1. Dynamic input/output comparator – flags uncertainty in classification.

2. Statistical thresholding – if confidence is low, we bin it for review.

3. Supervised learning on binned data – improving accuracy with each cycle.

Rather than risking data contamination, we train on the edge cases.

That’s why more businesses are switching to DUKE.ai’s full-service bookkeeping for just $65/month.

Smarter AI. Cleaner books. No surprise!