Technology due diligence
Provides a structured view of a target’s documented systems and dependencies, with supplier and lifecycle risks made explicit. Supports a more grounded assessment of technology exposure.
— Product & Tech
Tech stack & architecture inventory
Builds a complete inventory of the technology estate — every system with its vendor, purpose, integrations, hosting and build-or-buy status — and flags where concentration, lock-in or vendor viability creates risk.
- Product & Tech
- Traceable reasoning
- Runs anywhere
1–2 weeks → ~15 minutes
For a typical multi-document review workflow
No coding required
- Input
- Technology documentation
- Output
- System-by-system technology and architecture inventory
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1–2 weeks per run
— USE CASES
What people use Tech stack & architecture inventory for
Supplier concentration review
Shows where systems depend on the same vendors and where replacement may be constrained by lock-in. Gives teams a clearer basis for discussing supplier diversification and exit options.
Architecture investment planning
Brings hosting, integration and build-or-buy information together with vendor viability and end-of-life concerns. Helps identify systems that warrant closer review before further investment.
Post-acquisition technology assessment
Creates a common reference for understanding the acquired technology estate. Makes dependencies and supplier exposure visible in discussions about integration and rationalisation.
What it works from
- Technology documentation
- Architecture diagrams
- Vendor lists
- Public vendor viability, ownership and product lifecycle information
What you get back
- System-by-system technology and architecture inventory
- Vendor, purpose, integration and hosting details
- Build-or-buy classification for each system
- Vendor viability, ownership change and end-of-life risk findings nnnnnnnnnn nn nnnnnn nnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnno nnnnnnn nnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnniiiiii
— HOW IT BEHAVES
How Tech stack & architecture inventory produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Scored against your criteria
Each risk is assessed against criteria you control and weight, so the same standard applies to every risk in the risk universe in scope.
Risk registers, controls and policy documents pulled into one schema
Every risk is captured in the same field structure, so records drawn from different documents and sources stay comparable.
Whole sets of risk registers, controls and policy documents at once
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.
Live research on the risk universe in scope
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.
Composed as work product
Findings on the risk universe in scope are written up as a document that reads like professional output, with each claim tied back to a risk.
Why this is expensive by hand
Technology assessments often rely on fragmented documentation that obscures dependencies, supplier exposure and the effort required to replace critical systems. Technology due diligence is the typical trigger — provides a structured view of a target’s documented systems and dependencies, with supplier and lifecycle risks made explicit. Supports a more grounded assessment of technology exposure. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 1–2 weeks of manual work.
How this Skill produces it
Skillsize turns that work into a Skill: you supply the material, and what comes back is system-by-system technology and architecture inventory, with vendor, purpose, integration and hosting details. 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. In effect, 1–2 weeks of senior time compresses into ~15 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran 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
Tech stack & architecture inventory 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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