When is a DPIA legally required?

Under GDPR Article 35 a DPIA is mandatory when processing is likely to result in a high risk to individuals — for example systematic automated decision-making with legal effects, large-scale special-category data, or systematic monitoring. AI systems frequently hit one or more of these triggers.

Does this tool produce a finished DPIA?

No. It produces a structured starting template pre-filled from your inputs and flags the high-risk triggers you match. You still complete the narrative risk analysis and have it reviewed by a qualified data protection officer.

What does the necessity assessment cover?

It documents why the processing is necessary and proportionate to the purpose, and whether a less intrusive option exists — the core Article 35 question of whether the high-risk processing is justified at all.

Is my input sent anywhere?

No. The template is generated entirely in your browser. Nothing about your processing activities is uploaded to a server.

Who should sign off the final DPIA?

The data controller is accountable, and where one is appointed the DPO must be consulted. For residual high risks that cannot be mitigated, you may also need to consult your supervisory authority before processing begins.

What is the AI Data Protection Impact Assessment (DPIA) Template?

Describe your AI system's data processing activities and receive a pre-filled DPIA template covering necessity assessment, risk identification, mitigation measures, and DPO consultation triggers under GDPR Article 35. Exports Markdown. It runs free in your browser on Gera Tools, with nothing uploaded.

AI Data Protection Impact Assessment (DPIA) Template

Name: AI Data Protection Impact Assessment (DPIA) Template
Creator: Gera Tools
License: https://creativecommons.org/licenses/by/4.0/

AI DPIA template generator

When an AI system processes personal data in a way likely to be high risk — profiling, automated decisions, large-scale or special-category data — GDPR Article 35 requires a Data Protection Impact Assessment before you start. The AI DPIA template generator turns a short description of your processing into a structured DPIA template, pre-filled with your details and annotated with the Article 35 high-risk triggers you match, so your assessment starts from the right questions. It runs entirely in your browser.

How it works

You describe the processing purpose, the data types, the categories of data subjects, and whether the system makes automated decisions. The generator maps those answers against the Article 35 high-risk indicators — automated decision-making with significant effects, systematic monitoring, special-category data, large-scale processing, and vulnerable data subjects — and surfaces the ones that apply. It then assembles a Markdown DPIA template with the standard sections: description of processing, necessity and proportionality, risks to individuals, mitigation measures, and DPO consultation. Your inputs populate the header and trigger summary; the narrative sections are scaffolded with prompts for you to complete.

When is a DPIA mandatory for AI systems?

GDPR Article 35 requires a DPIA when processing “is likely to result in a high risk.” The supervisory authority guidance, and the Working Party 248 guidelines absorbed into EDPB practice, identify a non-exhaustive list of indicators. AI systems commonly hit several at once:

Automated decision-making with legal or similarly significant effects — any AI that makes or materially influences decisions about loan eligibility, hiring, insurance pricing, or access to services is almost certainly in scope.

Systematic profiling — building a profile of individuals (their preferences, behaviour, creditworthiness, location patterns) at scale, particularly when derived from data collected for other purposes.

Special-category data — processing health, biometric, political, religious, or sexual-orientation data at any scale.

Large-scale processing — processing personal data of a large number of individuals, or a significant portion of a regional population. Large-scale is not defined precisely, but data protection authorities have treated tens of thousands of records and above as indicative.

Innovative technology — deploying a new technology where the data protection implications are not yet well understood. Generative AI applied to personal data often qualifies.

If your AI system hits any two of these criteria, a DPIA is almost certainly required. If it hits three or more, assume it is mandatory.

What the DPIA must contain

Article 35(7) sets out the minimum content:

A systematic description of the processing, its purposes, and the legitimate interests pursued (if applicable)
An assessment of the necessity and proportionality of the processing in relation to the purpose
An assessment of the risks to the rights and freedoms of data subjects
The measures envisaged to address the risks, including safeguards, security measures, and mechanisms to ensure protection of personal data

The template produced by this tool scaffolds all four sections and adds a fifth: the DPO consultation record, which is mandatory where a DPO is appointed.

Tips and notes

Start the DPIA before deployment. Article 35 requires it prior to processing, not as a retrospective document after launch.
Be honest about residual risk. If mitigations leave high risk, that is a prior-consultation trigger with your supervisory authority — do not paper over it.
Consult your DPO. Where one is appointed their input is mandatory; this template is a working draft for that conversation.
Revisit on change. A new data source, a new automated decision, or a new vendor means the DPIA needs reviewing.
Pair with a vendor DPA. If a third-party AI provider processes the data on your behalf, a data-processing agreement with them is required alongside the DPIA.