PIA template

Privacy impact assessment template

Use this template to scope privacy impact, DPIA triggers, AI or ADMT risk, vendor processing, evidence, owners, and review decisions before the answer is reused in customer security questionnaires.

View PIA fields Download privacy risk template Store reusable answers

Use whenPrivacy review starts

Start with a plain PIA when a workflow changes how personal data is collected, shared, retained, automated, or explained to customers.

PIA, DPIA, or legal review?

Use this quick triage before deciding how deep the assessment needs to be.

Low privacy impact

Limited personal data, narrow purpose, no sensitive data, no AI/ADMT, no new vendor, and standard controls already exist.

PIA recommended

New personal-data processing, new vendor sharing, changed retention, new analytics, or customer-facing privacy commitments.

DPIA or legal review likely

Sensitive data, large-scale processing, PHI, children data, profiling, ADMT, cross-border transfer, or high-impact decisions.

Block until scoped

Unknown data flow, unclear owner, missing DPA/BAA, no deletion path, no audit trail, or AI provider terms not reviewed.

Recommended privacy impact assessment fields

These fields make the assessment useful for privacy, security, vendor review, and customer due diligence.

Project or processing activityName the product feature, vendor, system, data sharing change, AI workflow, or internal process under review.

Business purposeExplain why the processing is needed, which team owns it, and what user or business outcome it supports.

Data categoriesList personal data, sensitive data, PHI, employee data, children data, location data, biometrics, prompts, outputs, and logs.

Data subjectsCustomers, employees, patients, prospects, minors, website visitors, contractors, or other affected people.

Systems and vendorsInternal systems, subprocessors, model providers, analytics tools, support platforms, data brokers, and cloud services.

Risk scenariosUnexpected use, over-retention, unauthorized access, inaccurate automated decisioning, vendor misuse, or weak deletion path.

Controls and mitigationsData minimization, retention limit, DPA/BAA, access controls, audit logs, human review, opt-out path, and approval workflow.

Decision and reviewApprove, mitigate, block, escalate to legal/DPO, assign owner, set due date, and schedule next review.

AI and ADMT add-on fields

Add these fields when the workflow uses model providers, automated routing, scoring, profiling, agents, or AI-assisted decisions.

AI use caseWhat the system does, whether the output affects people, and whether the AI is user-facing, internal, or embedded in a vendor.

Data sent to providersPrompts, outputs, attachments, embeddings, metadata, logs, and whether sensitive data is allowed or blocked.

Training and retentionWhether customer data can be used for training, evaluation, logging, human review, retention, or deletion workflows.

Human reviewWho reviews outputs, when approval is required, what can be overridden, and how decisions are logged.

Transparency and rightsNotices, disclosures, opt-out or appeal paths, support scripts, and customer-facing explanation evidence.

Audit evidenceModel provider terms, DPA, subprocessor list, prompt/tool logs, approval record, and answer-library row for reuse.

Reusable evidence outputs

A good PIA should create evidence your team can reuse in future security and privacy reviews.

Questionnaire answers

Use approved PIA outcomes when customers ask how privacy risks, AI data use, subprocessors, and retention are reviewed.

Vendor review

Push vendor privacy details into the vendor risk assessment template instead of duplicating review notes.

Security evidence

Connect privacy controls to access, audit logs, encryption, incident response, and data deletion evidence.

AI appendix

Store AI provider, training, retention, human review, and audit evidence next to the security questionnaire answer library.

Next steps

Connect the PIA output to the rest of the security questionnaire workflow.

Download privacy risk template

Use the broader privacy risk worksheet when you need CSV/Markdown outputs.

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Add vendor privacy review

Use supplier risk fields when a processor, subprocessor, or AI vendor is involved.

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Store reusable answers

Move approved privacy claims into the answer library before customer reuse.

Open

Score questionnaire readiness

Check whether privacy evidence is ready for repeated customer security reviews.

Open

Privacy impact assessment FAQ

Short answers for teams turning privacy review into reusable evidence.

What is a privacy impact assessment template?

It is a worksheet for documenting a processing activity, data categories, affected people, privacy risks, controls, residual risk, owners, evidence, and review decisions.

Is a PIA the same as a DPIA?

No. A PIA is a broad privacy review format. A DPIA is a more formal assessment required in some high-risk data protection contexts and may need jurisdiction-specific legal or DPO review.

Can this PIA template be used for AI or ADMT review?

Yes. Add fields for AI use case, data sent to providers, training and retention, human review, transparency, opt-out paths, and audit evidence.

Is this legal advice?

No. This template organizes facts and evidence. Qualified legal, privacy, or DPO reviewers should interpret jurisdiction-specific obligations.

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