How can AI help reduce persistent human error in the workplace?

Humans make mistakes and some humans make more mistakes than others.

Where we see persistent failure, we tend to inspect more and trust less.

This is a patterns that humans have learned to follow, based upon as assessment of risk through probability and impact.

AI agents are not perfect, either, and they can make mistakes. They are an unproven risk in your workflow. You should treat them as would a new junior analyst in your team, and ensure you are checking the work.

This does not mean that AI creates further inefficiency: checking work is much quicker than doing work. You can automate 1000s of hours of menial work to achieve new heights of productivity.

Imagine having 100 analysts at your direction, to research, assess and correlate documents and data. You set the parameters and then you check the results.

What would you do with 100 analysts today?

And how are you going to check their work?