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.
— Product & Tech
Reads pen-test and security review reports, SOC 2 / ISO evidence, vendor security questionnaire responses and the incident log.
2–3 weeks → ~25 minutes
For a typical multi-document review workflow
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.
Risks are sorted into your categories using the same rules each time, which is what makes a large volume of risk registers, controls and policy documents readable.
Each risk is assessed against criteria you control and weight, so the same standard applies to every risk in the risk universe in scope.
Every risk is captured in the same field structure, so records drawn from different documents and sources stay comparable.
Dates and sequence are lifted out of risk registers, controls and policy documents into a timeline, exposing the tenure, gaps and overlaps that prose hides.
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.
Current external sources on the risk universe in scope are researched during the run rather than recalled from training data, and every source travels with the output.
In product & tech work, security & compliance posture scan is one of those tasks that looks straightforward until you are three documents deep and the details stop agreeing with each other. Repeatable client analysis is the typical trigger — run the same structured analysis for every client or business unit so quality no longer depends on who picked up the work. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 2–3 weeks of manual work.
Here the same job runs as a Skill. Your material goes in; a structured, review-ready deliverable comes out, alongside 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. The practical effect: 2–3 weeks of manual work becomes a ~25 minutes run, held to an identical standard on the tenth engagement as on the first.
Security & compliance posture scan 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.
Data, AI & technology governance review
Reads data-sharing and customer agreements, AI/model inventory and documentation, governance policies and any DPIA / model risk assessments.
Product roadmap realism check
Reads the roadmap, the backlog, engineering capacity data and shipped-on-time history. Extracts committed items and timelines, computes available capacity against claimed scope, scores roadmap realism, and flags items with no owner or no dependency coverage.
Tech stack & architecture inventory
Reads the target's technology documentation, architecture diagrams and vendor list, extracts every system with its vendor, purpose, integrations, hosting and build-or-buy status, then researches each vendor's viability, ownership changes and end-of-life risk.