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AI systems can give plausible but conflicting answers when an organisation’s records are stale, duplicated or missing their sources. Communications consultant Katja Fašink’s Forbes essay offers a practical checklist for making those records more useful.
Why it mattersFor each fact, record who supplied it, when it was last confirmed and how, which organisation it refers to, and who is allowed to approve changes. Fašink argues that clear identifiers and ongoing upkeep matter more than a polished directory that quietly ages on the shelf. It’s useful advice for any team hoping to feed AI reliable internal information.
Discuss: Would you prioritise cleaning existing data first, or make better record-keeping part of every new system from day one?
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