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
Data & IP asset map
Maps systems to data categories and the decisions they drive, then flags IP ownership, third-party-licensed code and customer-data portability.
- Product & Tech
- Traceable reasoning
- Runs anywhere
1–2 weeks → ~15 minutes
For a typical multi-document review workflow
No coding required
- Input
- Documents, exports or uploads you already hold
- Output
- A structured, review-ready deliverable
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1–2 weeks per run
— USE CASES
What people use Data & IP asset map for
Faster first drafts
Turn raw source material into a working draft in minutes and spend your time on judgement instead of assembly.
Comparable results over time
Produce the same shape of output each cycle so movement is measurable rather than re-argued.
What it works from
- Documents, exports or uploads you already hold
- Your own criteria, framework or house method
What you get back
- A structured, review-ready deliverable
- A traceable record of what informed each conclusion
— HOW IT BEHAVES
How Data & IP asset map produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Governance and authority documentation pulled into one schema
Every decision is captured in the same field structure, so records drawn from different documents and sources stay comparable.
Whole sets of governance and authority documentation at once
All of your governance and authority documentation is processed as one set, so patterns across documents surface instead of being read one file at a time.
Live research on the decision set in scope
Current external sources on the decision set in scope are researched during the run rather than recalled from training data, and every source travels with the output.
Composed as work product
Findings on the decision set in scope are written up as a document that reads like professional output, with each claim tied back to a decision.
Why this is expensive by hand
Data & IP asset map is routine in name only: the inputs are messy, the standard is unwritten, and two people rarely reach the same answer. 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. Get it right and the conclusion holds up in the room; get it rushed and it gets picked apart. Either way it costs roughly 1–2 weeks of experienced attention.
How this Skill produces it
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: 1–2 weeks down to ~15 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
Who it's for
- Independent consultants codifying their own methodology
- Strategy and transformation teams standardising delivery
- Internal advisory functions under pressure to produce faster
- Operators who need defensible output, not a one-off chat answer
Run it in Skillsize — or export it anywhere
Data & IP asset map 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.
ChatGPTClaudeCopilotAI Products (MCP)
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