The decision question
How can a natural-language assistant do senior field-discovery work while staying inside evidence, permission and decision boundaries?
Polarstar capability detail
Work with an AI-native FDE, not a generic chatbot.
Polarstar investigates the business, builds its computable model, runs governed analysis and prepares actions that people can inspect and authorise.
How we workAI-native FDEOverview
What the FDE investigates
Organisation, roles, work, decisions, systems, database schemas, third-party workflows, cost structures, controls, metrics and source conflicts.
What becomes computable
Persistent investigation plans, source and workflow profiles, business-model proposals, role-allocation assessments, economic analyses and measurement contracts.
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
Explain, investigate, map schemas, trace workflows, propose model changes, calculate scenarios and prepare governed workspace operations.
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 shared transformation model and durable artifacts—not conclusions trapped in chat—with tool traces, checkpoints, proposals and review state.
What keeps the conclusion honest
The FDE acts under the current user’s permissions. Material changes are previewed, approved and logged; deterministic engines own the numbers.
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.