Clean data is not enough for an internal AI assistant
In brief
According to a LeMagIT opinion piece, a data team spent two years cleaning its warehouse until quality checks were judged satisfactory. After an AI assistant was connected to the same data, it cited a pricing policy replaced eighteen months earlier and used a discontinued product name. Those errors had passed the usual quality controls.
Source : LeMagIT - « L’IA rebat les cartes de la qualité de données »
What it changes for an SME
Connecting an assistant to your CRM, ERP or internal documents is no longer only a matter of classic data cleanliness. According to LeMagIT, the model has no analyst's unspoken judgment and can present a replaced price or policy as if it still applied. That is an everyday operational risk, not just a rounding error in a report. On compliance, being unable to say where content comes from or whether you may use it already has a cost with regulators, clients and procurement.
What you can do
- Check whether your policies, prices and product sheets carry an end-of-validity date that your search tools can read.
- Identify who in your company still knows which documents or product names are no longer in force.
- Check whether you can state the origin of each item of content an assistant might retrieve, and the rights attached to it.
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