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Before AI: the unglamorous data foundation

data/foundation-first.md

The AI conversation in most boardrooms skips a step. Agents that read your documents and draft your replies are real and within reach, but they run on a fuel most organisations have not refined: reliable, structured, accessible data.

Where the chaos actually comes from

When three departments report three revenue figures, the cause is rarely technical. It is definitional: margin means something different in sales and finance, and every spreadsheet diverges from there. Pin the definitions down with their owners and half the chaos evaporates before any tooling changes.

The foundation is smaller than you fear

Mid-market organisations do not need data lakes. They need their existing systems wired into one automated layer, agreed definitions applied on top, and dashboards that answer the questions people actually ask. That is weeks of work, and it pays for itself in reporting time alone.

What it unlocks

With the foundation in place, the AI step shrinks dramatically. Agents deploy in weeks because the data they read is already structured. Automations stop breaking because the inputs stop drifting. The unglamorous layer is what makes the glamorous one cheap.

And it is subsidised

Data and reporting projects qualify for digitalization support in all three Belgian regions. The least exciting project on your list may also be the most discounted.

Key takeaways
  • AI quality is capped by data quality; no model fixes a broken foundation.
  • Definition disputes, not technology, cause most reporting chaos.
  • A usable foundation is weeks of work, not a multi-year data lake.
  • Foundation work qualifies for digitalization subsidies in all three regions.

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