Comparing restructure options
Model two or three structures and see the coverage, cost and capability implications side by side.
— Organisation & Workforce
Models restructure options, computing structural and cost implications of each and scoring them against the current state on your chosen criteria.
3–4 weeks → ~40 minutes
For a full population, not a sample
No coding required
— USE CASES
Model two or three structures and see the coverage, cost and capability implications side by side.
Produce the evidence and rationale a formal consultation process will demand.
Understand which capabilities and roles each option puts at risk before committing.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Each role is assessed against criteria you control and weight, so the same standard applies to every role in the organisation in scope.
A coverage pass shows which roles are supported by evidence and which are not — including requirements with nothing behind them and material that supports nothing.
Two versions of the organisation in scope are compared directly, separating the roles that genuinely moved from the ones that only read differently.
Every role lands in a defined band, so thresholds you set decide the outcome instead of whoever is interpreting it that day.
Skills and requirements are read out of org data, role documentation and headcount exports as structured data rather than inferred from job titles.
Your strategy, standards and prior work are loaded first, so conclusions about the organisation in scope are anchored to your situation.
In organisation & workforce work, restructure scenario is one of those tasks that looks straightforward until you are three documents deep and the details stop agreeing with each other. In practice it shows up as comparing restructure options: model two or three structures and see the coverage, cost and capability implications side by side. The value sits in the rigour, not the typing — yet the rigour is exactly what gets traded away when there is only 3–4 weeks of capacity for it.
Skillsize turns that work into a Skill: you supply the material, and what comes back is option-by-option computed impact, with coverage and capability diffs against the current state. What sits between input and output is the codified method: thresholds, sequencing and the points where a human confirms a call — all of it visible and editable in the Skill. The practical effect: 3–4 weeks of manual work becomes a ~40 minutes run, held to an identical standard on the tenth engagement as on the first.
Restructure scenario exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
Redesigns workflows and roles around the practical use of AI, producing a board-ready plan with task-level recommendations, costed capacity gains and clear workforce implications.
Keeps a standing read on the risk universe in scope, working through risk registers, controls and policy documents on a regular cycle to show where each risk stands, what has moved since the last run and which items now need an owner's attention.
Matches available consultant capacity against the work coming down the pipeline each week, showing where people are about to sit idle, where demand will outstrip the skills you have and which pairings genuinely fit.
Runs a recurring skills survey across the workforce on a set cycle, building a living view of skills and utilisation by department that leadership can track month over month.
Ranks candidate locations against weighted workforce and business criteria, tests how cost assumptions affect the result, and produces a board-ready recommendation with a traceable evidence base.
Reviews a workforce metrics pack and states what the measures actually imply, rather than restating the numbers.