Built by hand, in weeks
Consolidating divisional data into one picture takes weeks — and is stale by the time it's ready.
Gen AI · Business management intelligence
One live picture of every business unit, early risk signals and decisions driven to a measurable result — entirely within your own perimeter. Ask in plain language, act before problems become losses, and benchmark against the market.
The cost of being late
Data is scattered across accounting systems, spreadsheets and meetings. The consolidated picture is assembled by hand — so margin erosion and stuck receivables surface only once the money is already gone.
Consolidating divisional data into one picture takes weeks — and is stale by the time it's ready.
Deviations appear in hindsight, when the outcome can no longer be changed.
Key calls are made from spoken updates, not from reconciled numbers.
No single language of numbers: versions diverge and accountability blurs.
What Axioma OS does
One loop carries a metric through a closed cycle and records every step — not a report for its own sake, but management driven to effect. And the system learns from each decision.
Accounting, files and registers consolidated into a single reconciled picture of the business.
A metric leaves its allowed range — Axioma OS raises the signal before people would notice.
A dependency graph shows which driver is pulling the metric down.
A ready decision draft with an approval threshold — the manager just signs off.
The decision turns into tasks with owners and due dates.
The result is measured in money — and refines the model and thresholds next cycle.
What's inside
No reports to build, no schema to know. Ask as you would a colleague — "Top-3 receivables risks", "What happens to P&L if we raise price 5%?" — and get a structured answer with reasoning and a link to the primary source.
Set an allowed range for any metric. Crossing it triggers a predefined playbook — notify, draft, task, escalate — running 24/7. Only the calls that matter are left for you to approve; every trigger is logged.
Your metrics against the market average, the global average and best-in-class across 81 industries, 4 levels of comparison. The gap to benchmark is measurable under-earned profit — ranked by money.
Computes only with sufficient data (12+ months); otherwise it states honestly "cannot compute" — no invented figures. Every figure cites its source and key coefficients are verified by a second, independent method.
Security & sovereignty
Axioma OS deploys inside your perimeter. Accounting data and files never leave your server — no path to a public cloud.
Runs on local, open-source LLMs hosted in the EU — no dependency on foreign APIs that can be switched off or change terms.
Encryption of personal data, EU data residency, role-based access and an audit log built in. The model is fine-tuned to your business — inside the perimeter.
Why Axioma OS
| Capability | The usual way | Axioma OS |
|---|---|---|
| Consolidated picture | by hand, weeks | automatic, minutes |
| Reaction to risk | after the fact, once losses hit | preventive, before the loss |
| Access to data | via analysts and exports | a plain-language question |
| Reliability | whatever the model generated | computes with data · double-checked · sourced |
| Data | in a third-party cloud | on-premise · EU · GDPR |
| Status | a subscription service | your asset · fine-tuned to the business |
A pilot on your own data: the single picture of the group, the deviations and the effect of decisions on your real case — inside your perimeter, with no data leaving it.
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