— Organisation & Workforce

AI Map

Maps where AI can automate or support work, assesses workflow readiness and shows how roles may change, giving advisory teams an evidence-based view of adoption priorities and workforce implications.

  • Organisation & Workforce
  • Traceable reasoning
  • Runs anywhere
Preview methodology

1–2 weeks → ~15 minutes

For a typical multi-document review workflow

No coding required

Input
Role profiles
Output
Task-level AI suitability map with classifications and supporting reasons
Runs in
Skillsize · ChatGPT · Claude · Copilot
Export
SKILL.md · MCP
Time saved
~1–2 weeks per run

— USE CASES

What people use AI Map for

Assessing AI opportunities

Distinguishes tasks suited to automation, AI-assisted work or human ownership, with reasons for each judgement. Provides a task-level map that makes opportunities and limits explicit.

Testing workflow readiness

Assesses whether workflows have the data, rules and work volume to support automation, alongside the risks involved. Identifies constraints that affect the viability of each opportunity.

Planning workforce change

Estimates the share of each role’s work that could change and the potential capacity released. Highlights skills to develop and changes to role scope, supporting more specific workforce discussions.

Setting responsible adoption priorities

Provides an adoption plan grounded in task suitability and workflow readiness. Sets out priorities and safeguards so recommendations reflect operational risk as well as potential benefit.

What it works from

  • Role profiles
  • Job descriptions
  • Process documentation
  • Task lists

What you get back

  • Task-level AI suitability map with classifications and supporting reasons
  • Workflow readiness assessment covering data, rules, volume and risk
  • Estimated share of each role’s work susceptible to change
  • Workforce impact assessment covering potential capacity, skills needs and role redesign limits and opportunities

— HOW IT BEHAVES

How AI Map produces its result

The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.

Whole sets of org data and role documentation at once

All of your org data and role documentation is processed as one set, so patterns across documents surface instead of being read one file at a time.

Composed as work product

Findings on the organisation in scope are written up as a document that reads like professional output, with each claim tied back to a role.

Delivered as a working table

The roles land as a clean table you can sort, filter or drop straight into the deliverable.

Why this is expensive by hand

AI opportunities rarely align neatly with job titles. In practice it shows up as assessing AI opportunities: distinguishes tasks suited to automation, AI-assisted work or human ownership, with reasons for each judgement. Provides a task-level map that makes opportunities and limits explicit. It is the kind of work that decides whether a recommendation survives scrutiny — and the kind that quietly eats 1–2 weeks of senior time whenever it comes round.

How this Skill produces it

As a Skill, the work is already sequenced. You bring the evidence, and the run produces task-level AI suitability map with classifications and supporting reasons plus workflow readiness assessment covering data, rules, volume and risk. 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. Net effect: 1–2 weeks down to ~15 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.

Who it's for

  • Org design and workforce planning leads
  • COOs and functional leaders reshaping teams
  • Transformation consultants sizing people impact
  • HR business partners supporting redesign

Run it in Skillsize — or export it anywhere

AI Map 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.

ChatGPTClaudeCopilotAI Products (MCP)