Copilot doesn't fail because of the model. It fails because your organisation has never agreed what a customer is, because the same KPI has four calculations and none of them is official, and because the procedure it was meant to summarise only exists in three people's heads. I call that semantic debt: a bill we've deferred for thirty years, and one that AI doesn't forgive — it amplifies it.

This session shows how that debt surfaces inside Microsoft 365 — libraries with no taxonomy, duplicated documents with contradictory versions, Purview labels nobody maintains, business terms with no owner — and why it produces answers that are eloquent and wrong in equal measure. We'll walk a four-step diagnostic, the warning signs that show up before you deploy, and what can actually be fixed with Work IQ, the term store, Purview and Copilot Studio knowledge sources.

You leave with the diagnostic, the warning signs, and the argument for explaining internally why the next licence won't fix this.