Polarstar capability detail

Connect engineered systems with the organisation that delivers them.

Model product architecture, supply, manufacturing, field service and economics as one transformation decision—not separate spreadsheets.

IndustriesEnergy & industrialOverview

The decision question

How would a design, component or supplier change alter technical performance, delivery work, capital, risk and customer outcome?

What the FDE investigates

Requirements, architecture, BOM, component evidence, suppliers, lead times, capacity, certification, production flow and service history.

What becomes computable

System configuration, resource and supply dependencies, delivery recipes, engineering authority, COGS, working capital and reliability constraints.

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

Compare configurations, propagate supplier and component changes, test constraints and propose revised engineering and procurement work.

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

A traceable system and resource scenario plus the operating-model changes required to source, build, approve and service it.

03

What keeps the conclusion honest

This is an application pattern, not an unverified customer result. Engineering approval and certification remain with authorised professionals.

Illustrative interaction

Ask in business language. Receive structured work.

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

You ask

“Test a new inverter supplier across BOM cost, certification, lead time, working capital and engineering review effort.”

Polarstar returns

The scenario shows the full business effect of the component choice and the evidence still required before design release.

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.