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Frequently Asked Questions

How is XFactor different from our current BI or forecasting tool?
BI tools and forecasting platforms explain what happened and extrapolate from it. XFactor simulates what will happen, modelling the cause-and-effect relationships across your entire go-to-market so you can test decisions before making them, not report on outcomes after.
No. XFactor sits above your existing stack, connected to your CRM, BI, finance, and CS systems. Nothing gets replaced. Nothing gets migrated. It surfaces what your tools cannot see individually: the relationships between them and what happens when one changes.

Yes. XFactor’s simulation engine produces the same output from the same inputs every time. The causal logic behind every projection is visible, traceable, and grounded in your business definitions, not inferred from them. That’s what makes it auditable and boardroom-defensible.

General-purpose AI generates plausible-sounding outputs based on correlation. It provides no transparency into how the output was derived and no guarantee the same question produces the same answer tomorrow. XFactor’s structural causal model produces reproducible, auditable outputs grounded in the mechanism, not a statistical approximation of it.

XFactor ingests your data across every connected system, normalises your definitions, and encodes your specific business logic before running a single simulation. The model runs in your language, against your metrics, grounded in how your business actually behaves, not a generic template.

When a simulation surfaces a recommended action, XFactor tracks whether it was executed and whether the outcome matched what was predicted, measured against the same model that generated the recommendation. The result is on record, visible to every stakeholder, and feeds back into the next simulation.

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