Make better decisions faster

AI-powered scenario modelling for
finance professionals

Explore any ‘what if’ — from internal pricing shifts to external shocks like tariffs — across your full financial model, without rebuilding it

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The Status Quo

The cost of curiosity is too high

Every important decision raises questions: What if demand drops? What if we change pricing? What if this assumption is wrong? But as models grow more complex, exploring alternatives, understanding impact, and trusting AI becomes slow and fragile.

Exploration is fragile and expensive

Every new question forces teams to touch models that weren’t built for change.

  • Simple checks become hard — the model is built by product and customer, but the question lives somewhere else
  • Answering “What if Europe grows?” means reworking structure, assumptions, and building new logic
  • You’re forced into precision you don’t need, just to get a directional answer

Decisions slow down because no one trusts the “why.”

Numbers move, but understanding lags behind.

  • Impact is hard to isolate across products, customers, and time
  • Causality gets flattened into metrics and averages
  • Explanations turn into debates instead of insights

AI can’t be trusted with real decisions

AI can generate answers — but not accountability.

  • There are no clear rules for what AI is allowed to change
  • Lineage and reasoning are hidden or incomplete
  • Teams can’t see what the AI explored, assumed, or ignored

So teams stop exploring — not because they don’t care, but because curiosity is slow and fragile.

A New Foundation

This isn't fixed with better dashboards or bolt-on AI agents.
It requires a different foundation for how decisions are modeled and explored.

Most tools are designed to show you what happened. Fluxion is designed to help you discover what could happen. We built a platform where your decisions are the main characters.

  • Decisions and trade-offs are first-class objects
  • Assumptions stay explicit
  • Time, products, and customers stay connected
  • Simulate anything without rebuilding everything
Platform

Fluxion sits on top of your data

    Use cases

    Anything you would model in business - just 10x better

    Supplier risk Pricing & margin trade-off Demand uncertainty Inflation exposure Capital allocation Working capital Inventory risk Forecast sensitivity Price elasticity Promotion effectiveness Cost drivers Scenario planning Cash flow resilience Investment prioritization Stress testing Pricing experiments Supplier risk Pricing & margin trade-off Demand uncertainty Inflation exposure Capital allocation Working capital Inventory risk Forecast sensitivity Price elasticity Promotion effectiveness Cost drivers Scenario planning Cash flow resilience Investment prioritization Stress testing Pricing experiments
    Trust & Lineage

    Every change is traceable.
    Every outcome is explainable.

    Fluxion keeps full lineage of what changed, why it changed, and which assumptions were involved. This turns AI from a black box into a trusted collaborator.

    Input Tracking

    What Changed

    Fluxion captures precise diffs of every variable, input, and assumption modified during exploration.

    Causal Chains

    Why It Changed

    Trace outcomes back to specific drivers. Understand the logic, not just the result.

    Backward solving

    What must be true

    Start from a target outcome and work backward to the required assumptions, drivers, and trade-offs.

    When curiosity is cheap,
    decisions get better

    Better decisions don’t come from better dashboards.

    They come from better questions — asked earlier, more often, and answered with confidence.

    • Risks surface earlier
    • More opportunities are explored
    • Trade-offs become visible
    Reach out to learn more