Requests spanning multiple systems
Maps the request’s scope to the systems holding relevant personal data, giving reviewers a clear basis for assessing the extent of fulfilment.
— Risk & Compliance
Data Subject Access Request (DSAR) Engine
Assesses a data subject access request end to end and returns a governed decision on whether to fulfil it, fulfil it in part, refuse it with reasons or extend the deadline, having verified identity, mapped the request to the systems that actually hold the data and held the outcome for a data protection sign-off before anything is disclosed.
- Risk & Compliance
- Traceable reasoning
- Runs anywhere
1–2 hours → ~5 minutes
For one document, brief or record at a time
No coding required
- Input
- Data subject request and receipt date
- Output
- Reasoned recommendation to fulfil, partially fulfil, refuse or extend the deadline
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1–2 hours per run
— USE CASES
What people use Data Subject Access Request (DSAR) Engine for
Sensitive or exempt information
Sets out proposed redactions and applicable exemptions with cited grounds, supporting a reasoned recommendation for partial fulfilment or refusal.
Deadline extension decisions
Calculates the statutory deadline from the request details and applicable rules, and assesses whether an extension is justified.
Disclosure requiring DPO approval
Provides a documented decision assessment covering identity verification, scope and disclosure restrictions, with mandatory Data Protection Officer sign-off as a condition of release.
What it works from
- Data subject request and receipt date
- Identity verification evidence and status
- Relevant systems and personal data holdings
- Applicable data protection rules and organisational policies outlining disclosure requirements and DPO approval responsibilities for DSARs, including escalation and sign-off criteria where relevant, to support assessment consistency and governance without assuming approval has been granted or records have been released
What you get back
- Reasoned recommendation to fulfil, partially fulfil, refuse or extend the deadline
- Identity verification assessment
- Request scope mapped to relevant systems
- Statutory deadline and extension rationale where applicable, based on request details and governing rules, with any uncertainties or assumptions clearly identified for reviewer consideration before approval of the proposed response and disclosure decision, rather than presenting unresolved points as settled conclusions or confirmed legal determinations without adequate supporting evidence or review where required by policy or law, and preserving the mandatory DPO approval condition for disclosure throughout the assessment record so that no release is implied by the recommendation alone or by any deadline calculation, exemption citation, redaction proposal or scope mapping included in the deliverable
Why this is expensive by hand
Data subject access requests create difficult judgements about identity, the information held across systems, disclosure limits and statutory deadlines. Requests spanning multiple systems is the typical trigger — maps the request’s scope to the systems holding relevant personal data, giving reviewers a clear basis for assessing the extent of fulfilment. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 1–2 hours of manual work.
How this Skill produces it
As a Skill, the work is already sequenced. You bring the evidence, and the run produces reasoned recommendation to fulfil, partially fulfil, refuse or extend the deadline plus identity verification assessment. 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 hours down to ~5 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
Who it's for
- Internal audit and risk functions
- Compliance and controls teams
- Second-line functions reporting to committees
- Risk consultants running assessments
Run it in Skillsize — or export it anywhere
Data Subject Access Request (DSAR) Engine 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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