Reviewing business continuity risks
Reveals critical activities, systems and relationships that rely on a single person. Provides risk ratings and practical cover options to support continuity planning.
— Organisation & Workforce
Identifies where critical work depends on too few people, exposing gaps in cover, undocumented knowledge and workload strain through an evidence-backed diagnostic with practical mitigations.
1–2 weeks → ~15 minutes
For a typical multi-document review workflow
No coding required
— USE CASES
Reveals critical activities, systems and relationships that rely on a single person. Provides risk ratings and practical cover options to support continuity planning.
Identifies the knowledge, decisions and responsibilities concentrated in a departing role. Highlights where documentation, cross-training or a named deputy can reduce exposure.
Shows where critical responsibilities cluster around the same people. Connects workload concentration to dependency risk, supporting discussions about cover and the distribution of responsibilities.
Examines whether formal structures are supported by sufficient shared knowledge and cover. Gives leadership an evidence-backed view of single points of failure and options for reducing them.
— 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 risk registers, controls and policy documents is processed as one set, so patterns across documents surface instead of being read one file at a time.
Findings on the risk universe in scope are written up as a document that reads like professional output, with each claim tied back to a risk.
The risks land as a clean table you can sort, filter or drop straight into the deliverable.
Key-person dependencies are often hidden across role descriptions, informal responsibilities and established working relationships. In practice it shows up as reviewing business continuity risks: reveals critical activities, systems and relationships that rely on a single person. Provides risk ratings and practical cover options to support continuity planning. 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 dependency risk diagnostic report plus map of critical activities, systems, relationships and decisions to the people who hold them. 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. In effect, 1–2 weeks of senior time compresses into ~15 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran it.
Dependency Risk 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.
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.
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.