Raw signal, editable · five stacks
Unstructured fragments, exactly as they arrive. Numbers are highlighted because they are the only thing the engine will compute with.
Try it: change €140k to €300k in the first card, run again, every downstream figure follows.
🔒 People data enters as anonymized aggregate only.
Intelligence
Observed → inferred → prepared action. Confidence is a stated function of corroboration.
◦Reading five systems in the shape they arrive, nothing migrates
◦Normalising into one comparable structure, per field and per language
◦Resolving who is actually who (VAT-root · domain · invoice refs)
◦Reading across the normalised set for what no single stack shows
Before anything is found, everything is made comparable
step one · nothing migrates
As it arrives · five systems
One structure · same record
Five dashboards, all green, until you run the read across them.
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Cross-stack findings
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Risk
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Exposed
forwardable one-pager, all figures computed, assumptions labeled
Ask it
the concept, the findings, your next step
▸ Assumption table, the only numbers we bring
€/hr loaded (NL mid-market) = 90 · weeks/month = 4.3 · working days/yr = 260
Everything else is read from your fragments. Change a rate here on a call; every figure follows.
Everything else is read from your fragments. Change a rate here on a call; every figure follows.
Recommended sequence, next 14 days