Fixing decision bottlenecks
Find the decisions with no clear owner or three competing ones.
— Operations & Process
Maps who actually decides what across the org map, scoring the clarity of each decision and naming gaps, overlaps and escalation traps.
2–3 weeks → ~40 minutes
For a full population, not a sample
No coding required
— USE CASES
Find the decisions with no clear owner or three competing ones.
Re-establish decision rights after a structural change so teams know what they own.
Define decision rights explicitly before a new operating model goes live.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Each decision is assessed against criteria you control and weight, so the same standard applies to every decision in the decision set in scope.
Individual decisions aggregate into the view a decision-maker actually looks at across the decision set in scope, without losing the underlying lines.
Every decision lands in a defined band, so thresholds you set decide the outcome instead of whoever is interpreting it that day.
Every decision is captured in the same field structure, so records drawn from different documents and sources stay comparable.
Your strategy, standards and prior work are loaded first, so conclusions about the decision set in scope are anchored to your situation.
Analysis runs against your real reporting lines and decisions rather than an assumed org shape.
Slow decisions are usually an accountability problem, not a process problem. In practice it shows up as fixing decision bottlenecks: find the decisions with no clear owner or three competing ones. The value sits in the rigour, not the typing — yet the rigour is exactly what gets traded away when there is only 2–3 weeks of capacity for it.
Here the same job runs as a Skill. Your material goes in; a decision-rights map with owners per decision comes out, alongside scored clarity, with gaps and overlaps named. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. In effect, 2–3 weeks of senior time compresses into ~40 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran it.
Decision rights 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.
Identifies where adoption of a new system, process or way of working stalls after go-live, with an evidence-backed report on barriers, workarounds and differences between functions.
Assesses AI readiness through anonymous staff evidence, identifying where AI can improve day-to-day work and the practical barriers that could prevent those gains.
Maps how an organisation actually operates using anonymous accounts from its people, producing an evidence-backed diagnostic of responsibilities, decisions, handoffs and duplicated effort.
Reads a set of weekly status notes for progress, blockers and RAG, charts the trend, and writes an executive digest focused on trajectory.
Reviews a proposed change against your change policy and returns a governed advisory decision — approve, approve with conditions, defer to the change board or reject — weighing risk, blast radius and rollback, with a change manager sign-off required before anything reaches production.
Assesses a refund or compensation request against the contract terms and refund policy that govern it, then returns a decision on approving it in full, in part, offering a goodwill gesture or declining, with every element of the remedy traced to the clause that allows it and anything beyond an agent's authority routed for review.