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AI agent for data protection officers

Data Protection Impact Assessment Agent

Assessments completed before launch with risks controlled

ComplianceRisk managementLegal
See how it worksGet access
Data Protection Impact Assessment Agent: what goes in, what the agent does and what you get

What it does

New projects often start using personal data before anyone asks whether the risks have been assessed. When a project or system is proposed, this agent screens it for whether an impact assessment is needed, such as for sensitive data, large scale or automated decisions. If so, it drafts the assessment: data types, purposes, lawful basis, flows, retention, risks and controls, and sends questions to the project team. It checks answers for gaps such as missing retention or an unclear lawful basis and follows up until they are complete. It rates each risk, proposes controls and checks the risk that remains after controls. If high risk remains, it flags possible regulator consultation. The DPO approves the assessment. Edge case: the project uses AI to score customers, which raises rules on automated decisions.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedNo 1 STARTS WHEN Project proposed 2 DOES Screen for need 3 USES A TOOL Draft assessment and questions 4 CHECKS THE RESULT Are team answers complete? If not: send follow-up questions. Back to step 3. 5 DOES Rate risks and propose controls 6 DOES Check remaining risk 7 YOU APPROVE DPO approves 8 RESULT Assessment filed
Read the steps as a list
  1. Project proposed
  2. Screen for need
  3. Draft assessment and questions
  4. Are team answers complete?If not: send follow-up questions. Back to step 3.
  5. Rate risks and propose controls
  6. Check remaining risk
  7. DPO approvesThe agent waits here for your OK.
  8. Assessment filed

How it decides

It screens on risk criteria and rates risks by likelihood and impact.

  • Sensitive data or large scale: assessment needed
  • Automated decisions with significant effect: high risk
  • High remaining risk: consider consultation

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Screening criteria
  • Risk scale
  • Template
  • Consultation rules

What keeps you in control

It always asks you first

  • Assessment sign-off
  • Launch with conditions

Hard limits

  • Never approves launches
  • Never gives legal advice

It stops when

  • Done: approved
  • Stop: project cancelled

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensIn February, marketing proposed a churn scoring tool using customer purchase data. The screen showed an assessment was needed. The completeness check failed because the team had not stated retention. After a follow-up, they set it at 24 months. Risk was high because scores drove offers, so the agent proposed human review of scores. Remaining risk was medium and the DPO approved.

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