Polarstar capability detail

Investigate the business through an action-capable AI FDE.

Use natural language to direct a governed field investigation across evidence, organisation, databases, schemas and third-party systems.

SolutionsAI-native discoveryOverview

The decision question

What must we learn about the business next, and which authorised source or tool can resolve it with the highest decision value?

What the FDE investigates

Business documents, interviews, organisation structure, database metadata, schema relationships, APIs, system events and external workflow behaviour.

What becomes computable

Sources, assertions, conflicts, unknowns, business objects, system records, workflow states and exact model-version references.

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

Plan an investigation, inspect authorised metadata, profile a workflow, ask targeted questions and prepare review-only model proposals.

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 transparent investigation trail, source map, schema and workflow profiles, open questions and proposed model changes.

03

What keeps the conclusion honest

The assistant shows what it used, what it inferred and what remains unknown. Source content cannot silently redefine its instructions or authority.

Illustrative interaction

Ask in business language. Receive structured work.

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

You ask

“Inspect how CRM opportunities become ERP orders, identify mismatched definitions and tell me what you need to verify next.”

Polarstar returns

The FDE maps the permitted schema and workflow evidence, flags two semantic conflicts and prepares questions for the accountable system owners.

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.