IA Générative

From SaaS to intelligence native: the feedback loop.

Intelligence-native systems need agent access to decision artefacts and feedback loops. Why context, not models, is the differentiator — and how MCP, traditional ML, and versioned artefacts fit together.

4 mai 2026
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10 min de lecture

Enterprise software was built to digitise work. Forms, records, dashboards, workflows.

That layer is largely solved. Every function in a modern company has a SaaS tool, and most of them have several.

The next layer is different. It is not about recording what happened. It is about helping the organisation decide what to do next. That is the layer "intelligence-native" actually refers to — and the part most demos still get wrong.

The demo question is "can the agent answer questions over our data?" The production question is "can the agent reach the artefacts a human would reach to decide, and does it learn from whether its recommendation was followed?"

À propos de l'auteur

Cyril Noirot

Cyril Noirot

Lead Data Scientist

Data scientist freelance. Je conçois et déploie des systèmes de décision — prévision, pricing, marketing measurement, optimisation.

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