The decision question
How should work be reallocated across people, AI, agents, systems and suppliers without confusing task automation with role removal?
Polarstar capability detail
Evaluate tasks, decisions, exceptions and accountability before deciding what should be human-only, AI-assisted, agent-led or automated.
The decision question
How should work be reallocated across people, AI, agents, systems and suppliers without confusing task automation with role removal?
What the FDE investigates
Task mix, frequency, complexity, judgement, exception rate, skills, capacity, authority, service obligations and current workload by role.
What becomes computable
Work and decision allocation, accountable actor, review and hand-off paths, skill adjacency, capacity impact, redeployment and training requirements.
From ambiguity to accountable change
Every engagement connects operational reality to a reviewable model, an authorised action and evidence of what actually changed.
Assess work at task level, compare allocation patterns and propose a future organisation with explicit human accountability.
The assistant uses scoped tools to investigate and prepare model or workspace operations. Material changes remain proposals until the right person authorises them.
A human–AI work map, role and capacity implications, skills gaps, redeployment paths, controls and target responsibilities.
A job title alone can never justify a replacement conclusion. Positive assessments require evidence about the work, authority and operating context.
Illustrative interaction
Illustrative operating pattern—not a customer result or performance claim.
AI-native FDE operating pattern
The FDE can move from a question to investigation and governed action without hiding evidence, calculation or authority.
Clarify the business decision, owner, boundary and success test.
Use only authorised evidence, systems, schemas and workflow context.
Propose business objects, trace dependencies and run deterministic engines.
Show the exact change, limitations and authority required before execution.
Return runtime observations to the hypothesis and decide what changes next.
The FDE acts under the current user’s identity and permissions. Investigation does not create approval.
LLMs help understand and explain. Versioned formulas and constraints calculate the result.
Sources, assumptions, inferences, proposals, decisions and observations retain separate states.
Discuss your challenge
We will define what must be understood, what can be calculated and what evidence is required before change is authorised.