Octopus Polarstar
WorkspaceDiscuss your challenge

Polarstar capability detail

Explore freely; change shared business state deliberately.

Separate investigation and analysis from canonical change through previewable, permission-aware and auditable proposals.

How we workGoverned proposalsOverview

The decision question

How can AI assist with real workspace operations without silently inventing evidence, authority or approved business decisions?

What the FDE investigates

Current model heads, user permissions, source boundaries, action target, expected effect, conflicts, staleness and accountable reviewer.

What becomes computable

Immutable proposals with exact inputs, model versions, source references, change diff, limitations, digest and confirmation state.

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

Prepare one bounded action, show what it will read and change, validate again at confirmation, execute once and verify the result.

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 proposal and action ledger showing who proposed, reviewed, authorised and executed each material change and against which version.

03

What keeps the conclusion honest

Chat acknowledgement is not approval. Changed context, permissions or model state makes a stale proposal non-executable.

Illustrative interaction

Ask in business language. Receive structured work.

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

You ask

“Add the discovered approval decision to the model, but show me the evidence, exact diff and owner before anything changes.”

Polarstar returns

Polarstar creates a review-only proposal; only a valid explicit confirmation can apply it, and repeated confirmation cannot duplicate the change.

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.

Discuss your challengeWorkspace