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.
— Organisation & Workforce
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.
1–2 weeks → ~15 minutes
For a typical multi-document review workflow
No coding required
— USE CASES
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.
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.
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.
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.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
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.
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.
The roles land as a clean table you can sort, filter or drop straight into the deliverable.
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.
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.
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.
Defines a practical transformation strategy grounded in organisational plans and market evidence, with a phased roadmap, capability priorities and measures of progress.
Connects strategic priorities to workforce objectives, measures and accountable roles, producing a strategy-to-workforce map that exposes ownership gaps, concentrated responsibility and capability needs.
Assesses operating model readiness across stages, ownership and handovers, producing a stage map, governance gap assessment and clear stage-gate definitions ready to adopt.
Develops two or three organisation redesign options grounded in strategy, with clear reporting lines, structural trade-offs and a recommended option to test.
Assesses spans of control, organisational layers and managerial load to produce an evidence-backed diagnostic of reporting structures and their likely effects on decision speed and cost.
Assesses pay equity and workforce representation using anonymised, grouped data and sourced market benchmarks, identifying priority gaps, evidence-supported causes and practical actions.