AI Quality Control

Verify, challenge and approve AI-generated work with confidence

Top Takeaways

Spot unsupported claims, omissions and overconfident AI outputs
Match verification effort to the risk and impact of the task
Apply source, logic, calculation and completeness checks
Build a reusable human-in-the-loop approval checklist

Class Overview

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AI-generated work can be polished, persuasive and professionally presented while still containing unsupported claims, incorrect assumptions, outdated information, missing context or flawed logic. As employees use AI for increasingly important work, they need more than prompting skills. They need a practical method for deciding when an AI output is reliable enough to use, when it needs further investigation and when it...

Available Class FormatsPeople Count

Interactive Workshop

Best for employees who want to talk, connect, and engage in hands-on training.

Best for teams up to 60 people

Facilitated Learning

Best for employees who like to listen with some engagement and discussion throughout.

Best for teams up to 90 people

Class Durations

Flexible class lengths to meet your team’s needs.

60Mins
75Mins
90Mins
2Hours

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Irma K.

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