Repeatable client analysis
Run the same structured analysis for every client or business unit so quality no longer depends on who picked up the work.
— Operations & Process
Scores every activity on repetition, rule clarity, judgement and exception rate to assign an execution mode — AI, automation, tooling or human — with the hours and cost released calculated from your own numbers.
2 weeks → ~25 minutes
For a full population, not a sample
No coding required
— USE CASES
Run the same structured analysis for every client or business unit so quality no longer depends on who picked up the work.
Turn raw source material into a working draft in minutes and spend your time on judgement instead of assembly.
Produce the same shape of output each cycle so movement is measurable rather than re-argued.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Every row of your table is processed on the same basis, however long the table is.
The pattern is visualised from the computed data, so the trend is legible at a glance.
Findings are written up as a document that reads like professional output rather than raw model text.
Each row gains derived columns from the analysis, keeping the source data and the judgement side by side.
Detail rows are summarised into the grouped view without losing the underlying lines.
Every operations & process team needs process automation assessment — and almost none of them do it the same way twice. In practice it shows up as repeatable client analysis: run the same structured analysis for every client or business unit so quality no longer depends on who picked up the work. It is the kind of work that decides whether a recommendation survives scrutiny — and the kind that quietly eats 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 a structured, review-ready deliverable plus a traceable record of what informed each conclusion. 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. Net effect: 2 weeks down to ~25 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
Process automation assessment 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.
Automation opportunity map
Maps team or function activities to automation potential, computing addressable effort and bucketing opportunities into a prioritised roadmap.
Control failure → incident RCA pattern engine
Joins control test results to incident logs by process to show where control failures are actually producing incidents, grouped by systemic weakness with residual risk quantified.
Process diagnostic
Inventories every process step with its owner, system, effort and wait time, tests each against bottleneck, duplication, handoff and control-gap lenses, and returns a prioritised 30/60/90 improvement backlog.