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?
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.
Solutions
AI-native discovery
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.
What Polarstar can do
Plan an investigation, inspect authorised metadata, profile a workflow, ask targeted questions and prepare review-only model proposals.
What you receive
A transparent investigation trail, source map, schema and workflow profiles, open questions and proposed model changes.
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.
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.