Technology due diligence
Clarifies which data and intellectual property assets the target owns, which it licenses and where rights remain uncertain. Gives advisers a focused view of dependencies that may affect deal assumptions.
— Product & Tech
Data & IP asset map
Maps a target’s data and intellectual property assets, clarifying ownership, licence obligations and portability constraints to support migration and exit planning.
- Product & Tech
- Traceable reasoning
- Runs anywhere
1–2 weeks → ~15 minutes
For a typical multi-document review workflow
No coding required
- Input
- System inventories and architecture documentation
- Output
- Data and intellectual property asset register
- 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
Migration feasibility assessment
Identifies restrictions on moving customer data and transferring licensed code across systems or organisations. Provides an evidence base for assessing migration scope and constraints.
Exit readiness review
Highlights assets whose ownership or transfer rights may complicate a sale or separation. Gives the advisory team a concise risk list to inform exit planning.
Licence obligation review
Researches obligations attached to named third-party licences and connects them to the relevant assets. Makes contractual dependencies easier to assess alongside technical ones.
What it works from
- System inventories and architecture documentation
- Data category descriptions and business decision use cases
- Intellectual property ownership records
- Third-party code inventories and named licences or licence agreements checking code rights etc
What you get back
- Data and intellectual property asset register
- System-to-data mapping with supported business decisions
- Ownership and third-party licensing assessment
- Research-backed summary of named licence obligations
— 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
A target’s systems can depend on data, code and intellectual property that it does not fully own or cannot freely transfer. Technology due diligence is the typical trigger — clarifies which data and intellectual property assets the target owns, which it licenses and where rights remain uncertain. Gives advisers a focused view of dependencies that may affect deal assumptions. 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 data and intellectual property asset register plus system-to-data mapping with supported business decisions. 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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