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

Direction in an uncertain world

When uncertainty is the new normal, direction cannot be declared once. It must be sharpened in motion as assumptions shift, new data emerges, and markets evolve. Strategy is no longer a static plan — it is a position that must continuously adapt.

Performance is velocity, not precision. Aligned momentum is created when teams can learn quickly, test beliefs, and adjust course without losing coherence. The advantage is not being perfectly right — it is being able to move forward together.

Organizations don’t operate from one perspective — they operate from many. Sales, Finance, and Strategy each explain the business differently. The challenge is not eliminating disagreement, but holding multiple worldviews side by side, understanding their implications, and evolving direction before reality forces it.

The Status Quo

The cost of curiosity is too high

Today’s strategic context isn’t fixed — it changes with every new insight. Direction cannot be declared once and left untouched; it must evolve as assumptions shift, markets move, and new information emerges.

Every important decision raises questions: What if demand drops? What if we change pricing? What if this assumption is wrong? What if costs move faster than expected? Yet exploring these questions is often slow, fragile, and expensive, so curiosity gets constrained — and when curiosity slows down, direction hardens too early.

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 — and refine your direction as you go by embedding continuous feedback from scenarios, data, and decisions into every perspective.

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

Fluxion is the decision infrastructure on top of your data

Data

Fluxion sits on top of your data

  • Integrations and file uploads
  • External signals and third-party data
  • AI-filled gaps and normalization

Models

Fluxion models how your business actually works

  • Dynamic dimensions that adapt as the business changes
  • Metrics connected in a directed graph (cause, not just correlation)
  • Versioned scenarios you can compare, rewind, and branch
  • Both numbers and structure are scenario-specific

Guardrails & rules

Fluxion enforces constraints and logic by default

  • Embedded constraints (budgets, capacity, policies)
  • Inferred metrics and dimensions (no manual wiring)
  • Automatic validation and consistency checks

Apps & analytics

Fluxion lets you explore drivers, scenarios, and outcomes

  • Automated contribution and driver analysis
  • Self-serve views and reusable templates
  • What-if modeling and assumption testing
  • Advanced analytics and simulation

Decisions

Fluxion turns analyses into accountable decisions

  • Logged variance explanations
  • Explicit trade-off decisions
  • Board-ready reporting and decision packs
Use cases

Anything you would model in business - just 10x better

From scenario planning to stress testing, Fluxion turns uncertainty into an evolving strategic map teams can act on and refine over time.

Supplier riskPricing & margin trade-offDemand uncertaintyInflation exposureCapital allocationWorking capitalInventory riskForecast sensitivityPrice elasticityPromotion effectivenessCost driversScenario planningCash flow resilienceInvestment prioritizationStress testingPricing experimentsSupplier riskPricing & margin trade-offDemand uncertaintyInflation exposureCapital allocationWorking capitalInventory riskForecast sensitivityPrice elasticityPromotion effectivenessCost driversScenario planningCash flow resilienceInvestment prioritizationStress testingPricing 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