The decision question
Which finance work should be AI-led, assisted or human-owned, and what cost, control and service outcome would the change actually produce?
Polarstar capability detail
Redesign high-volume finance work without weakening control.
Make transactions, policy decisions, exceptions, approval and value realisation visible before automating the happy path.
IndustriesFinance & shared servicesOverview
What the FDE investigates
AP, AR, reconciliation and procurement volumes; queues, touch time, exceptions, controls, delegations, system states and rework.
What becomes computable
Transaction delivery units, task and decision allocation, control evidence, capacity, unit cost, service metrics and cash realisation.
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.
What Polarstar can do
Trace transaction variants, assess work allocation, simulate operating scenarios and prepare governed workflow changes.
The assistant uses scoped tools to investigate and prepare model or workspace operations. Material changes remain proposals until the right person authorises them.
What you receive
A future shared-service model with human authority, agent work, exception handling, unit economics and outcome measures.
What keeps the conclusion honest
Automation rate, adoption, released capacity and reduced expenditure are measured separately; control quality remains a guardrail.
Illustrative interaction
Ask in business language. Receive structured work.
Illustrative operating pattern—not a customer result or performance claim.
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.
- 01
Understand intent
Clarify the business decision, owner, boundary and success test.
- 02
Investigate the field
Use only authorised evidence, systems, schemas and workflow context.
- 03
Model and calculate
Propose business objects, trace dependencies and run deterministic engines.
- 04
Preview and authorise
Show the exact change, limitations and authority required before execution.
- 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.