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Reference — generated from the toolkit

Source of truth: toolkit/templates/dpia.md. Edit it there; this page is regenerated on build.

DPIA — {product / feature}

  • ID: DPIA-{NNNN} Date started: {YYYY-MM-DD}
  • Owner:Product/feature:Linked PFD:
  • Status: draft / in review / signed / due for review

1. Processing description

What is being done with personal data, in plain language:

  • Nature — collection, storage, use, sharing, deletion; the data flow end to end (diagram or link).
  • Scope — data categories and volumes, number of data subjects, geographic reach (UK / India access).
  • Context — relationship with the data subjects (policyholders, claimants, employees), what they would expect.
  • Purpose — the outcome for the business and for the data subject.
  • AI involvement — which models/agents touch this data, under what class of the AI usage policy matrix; any automated decision-making or profiling (if yes, flag to DPO immediately).

2. Necessity & proportionality

  • Lawful basis for each purpose (and Article 9 condition for any special-category data, e.g. health data in claims).
  • Why this data, this much — minimisation: what was excluded, and why what remains is the minimum.
  • Alternatives considered — could synthetic or anonymised data achieve the purpose? If not, why not.
  • Data-subject rights — how access, rectification, erasure and portability will actually work in this design.

3. Data categories & classification

Data categoryClassification tagSpecial category?Volume / subjectsSourceRetention
{e.g. policyholder contact details}client-confidential / regulated-PIIno
{e.g. claims medical narrative}regulated-PIIyes — health

Tags per the AI usage policy data classification matrix; these tags drive what tooling may touch the data.

4. Risks to data subjects

#RiskLikelihoodSeverityMitigationResidual risk
1{e.g. claims health data exposed to unapproved AI tool}low/med/highlow/med/high{e.g. guardrail denylist + classification tags}low/med/high
2{e.g. offshore access breaches client contract}
3{e.g. re-identification from "anonymised" free text}

5. Residual-risk sign-off

  • Residual risks accepted: {list of #s from the table, each low}
  • Any medium+ residual risk requires a risk-acceptance record and DPO agreement; any high residual risk requires prior consultation with the ICO — stop and escalate.
  • Signed: {name, role, date}

6. DPO consultation record

DateAdvice givenAccepted? (if not, why)

7. Review

  • Review date: {YYYY-MM-DD} — at latest 12 months, or on any material change to the processing.
  • Change log: {date — what changed — re-assessed sections}