Polarstar capability detail

Calculate counterfactual business outcomes deterministically.

Compare future configurations with inspectable formulas, dependency propagation, constraints and feasibility—not plausible-sounding prose.

SolutionsEconomic scenario engineOverview

The decision question

If we change X, what changes because of X, under which assumptions, and does the resulting configuration remain feasible?

What the FDE investigates

Baseline inputs, units, currencies, periods, formulas, operational dependencies, constraints, one-off costs and uncertainty ranges.

What becomes computable

A calculation DAG and typed causal dependencies spanning cost, volume, capacity, cash flow, margin, quality, risk and delivery.

From ambiguity to accountable change

A working model, not another layer of commentary.

Every engagement connects operational reality to a reviewable model, an authorised action and evidence of what actually changed.

01

What Polarstar can do

Create isolated scenarios, freeze assumptions, recalculate affected nodes, test constraints and generate an exact dependency trace.

The assistant uses scoped tools to investigate and prepare model or workspace operations. Material changes remain proposals until the right person authorises them.

02

What you receive

Baseline and scenario results, formula lineage, feasible/infeasible/unknown verdicts, sensitivities and decision thresholds.

03

What keeps the conclusion honest

LLMs may interpret intent and explain results; they never decide numerical results. Identical inputs always produce identical calculations.

Illustrative interaction

Ask in business language. Receive structured work.

Illustrative operating pattern—not a customer result or performance claim.

You ask

“Replace a $4,000 component with a $3,500 option and recalculate COGS, annual benefit, payback and the six-month constraint.”

Polarstar returns

The engine propagates the price change, recalculates every dependent value and changes the verdict when the payback constraint is breached.

AI-native FDE operating pattern

Conversation is the interface. The business model is the shared state.

The FDE can move from a question to investigation and governed action without hiding evidence, calculation or authority.

  1. 01

    Understand intent

    Clarify the business decision, owner, boundary and success test.

  2. 02

    Investigate the field

    Use only authorised evidence, systems, schemas and workflow context.

  3. 03

    Model and calculate

    Propose business objects, trace dependencies and run deterministic engines.

  4. 04

    Preview and authorise

    Show the exact change, limitations and authority required before execution.

  5. 05

    Measure and learn

    Return runtime observations to the hypothesis and decide what changes next.

Authority stays explicit

The FDE acts under the current user’s identity and permissions. Investigation does not create approval.

Numbers stay deterministic

LLMs help understand and explain. Versioned formulas and constraints calculate the result.

Every claim stays traceable

Sources, assumptions, inferences, proposals, decisions and observations retain separate states.

Discuss your challenge

Bring one real business decision into the field.

We will define what must be understood, what can be calculated and what evidence is required before change is authorised.