The decision question
Which actions may be automated, assisted or proposed—and which decisions must remain under explicit human authority?
Polarstar capability detail
Design authority, control and exception handling before build.
Separate what AI can do from what it may decide, who remains accountable and how unsafe or uncertain cases return to people.
ChallengesGovern AI changeOverview
What the FDE investigates
Policies, delegations, regulatory duties, data classification, approval thresholds, failure modes, control evidence and accountable owners.
What becomes computable
Work capability, decision authority, human accountability, approval, exception routing, access boundaries, control and audit evidence.
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
Draft an authority matrix, simulate exception paths and prepare governed change proposals that inherit the current user’s permissions.
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
Human-in-the-loop rules, decision rights, control design, escalation paths, data-use boundaries and acceptance tests.
What keeps the conclusion honest
Capability evidence never grants authority. Material change remains a proposal until the named owner reviews and authorises it.
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.