Enterprise workforce planning
Run demand, supply, gap and cost as one process across a large population.
— Organisation & Workforce
Runs demand modelling, supply and skills evidence, gap analysis, scenario branching and cost as one connected enterprise workforce planning process.
4–6 weeks → ~40 minutes
For a full population, not a sample
No coding required
— USE CASES
Run demand, supply, gap and cost as one process across a large population.
Apply identical planning logic in every business unit so plans roll up cleanly.
Show the full reasoning chain behind every number in the plan.
— 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.
What the organisation in scope requires and what it currently has are set against each other role by role, so each gap is quantified rather than described in general terms.
Every role lands in a defined band, so thresholds you set decide the outcome instead of whoever is interpreting it that day.
Figures buried in narrative org data, role documentation and headcount exports are extracted as data you can compute and compare with.
Skills and requirements are read out of org data, role documentation and headcount exports as structured data rather than inferred from job titles.
Strategic workforce planning is routine in name only: the inputs are messy, the standard is unwritten, and two people rarely reach the same answer. In practice it shows up as enterprise workforce planning: run demand, supply, gap and cost as one process across a large population. The value sits in the rigour, not the typing — yet the rigour is exactly what gets traded away when there is only 4–6 weeks of capacity for it.
Skillsize turns that work into a Skill: you supply the material, and what comes back is a full demand, supply, gap and cost analysis, with scenario branches where assumptions diverge. The criteria, ordering and review points that make the answer trustworthy are encoded in the Skill itself — which is the difference between a structured method and a prompt someone pastes in. Net effect: 4–6 weeks down to ~40 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
Strategic workforce planning 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.