Process adherence testing
Test real cases against the documented standard instead of sampling by intuition.
— Operations & Process
Compares observed process instances against a documented SOP standard, listing deviations by consequence and separating one-off slips from systemic non-compliance.
2–3 days → ~15 minutes
For a typical multi-document review workflow
No coding required
— USE CASES
Test real cases against the documented standard instead of sampling by intuition.
Distinguish individual error from a process that nobody can actually follow.
Run the same comparison each period so adherence trends are visible.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
A folder of material is processed as one set, so cross-document patterns surface instead of being read one file at a time.
Findings are written up as a document that reads like professional output rather than raw model text.
Results land as a clean table you can sort, filter or drop straight into the deliverable.
In operations & process work, process compliance check is one of those tasks that looks straightforward until you are three documents deep and the details stop agreeing with each other. In practice it shows up as process adherence testing: test real cases against the documented standard instead of sampling by intuition. The value sits in the rigour, not the typing — yet the rigour is exactly what gets traded away when there is only 2–3 days of capacity for it.
As a Skill, the work is already sequenced. You bring the evidence, and the run produces deviations listed per instance with consequence plus one-off slips separated from systemic non-compliance. 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: 2–3 days down to ~15 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
Process compliance check 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.