Tools for the decisions that shape the work.

Resources

Use these practical guides, canvases and checklists in real product, AI and go-to-market conversations.

Made to be marked up, challenged and used.

Each resource is deliberately lightweight. Take it into a working session, adapt the language to your context and capture the decisions that follow.

PADEMIQ / 01The AI DPIA & Automated-Decision Safeguards Checklist
DPIA triggersSolely automated decisionsMeaningful human involvementSafeguards for affected people
DPIA and ADM safeguards checklist

Checklist

The AI DPIA & Automated-Decision Safeguards Checklist

A checklist for screening whether an AI system triggers a DPIA and what safeguards apply to automated decision-making under UK GDPR and the Data (Use and Access) Act 2025.

Use it when: Use this whenever an AI system's output could influence a decision about a specific person.

25 to 35 minutesDPIA and ADM safeguards checklist
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PADEMIQ / 02The AI Governance Evidence Pack Index
Assessment evidenceTesting evidenceFramework mappingDecision and monitoring evidence
Evidence pack index

Guide

The AI Governance Evidence Pack Index

A master index of the evidence a defensible AI governance decision actually needs, from system description through to a final approval recommendation.

Use it when: Use this to check an evidence pack is complete before a system goes live, or before an audit or regulatory question arrives.

15 minutes to review, ongoing to populateEvidence pack index
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PADEMIQ / 03The AI Harm & Stakeholder Map
Stakeholders and affected peopleType of harmProbability and severityMitigation hierarchy
Probability/severity working canvas

Template

The AI Harm & Stakeholder Map

A working canvas for identifying who could be harmed by an AI system, what type of harm is realistic, and how severe it could be.

Use it when: Use this before testing begins, so the test plan is built around the harms that actually matter for this system.

30 to 45 minutesProbability/severity working canvas
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PADEMIQ / 04The AI Legal Risk Spotting Checklist
Intellectual propertyDiscrimination and fairnessConsumer protectionLiability and sector rules
12-point checklist

Checklist

The AI Legal Risk Spotting Checklist

A checklist for spotting the legal risks around an AI system that sit outside data protection: intellectual property, discrimination, consumer protection and liability.

Use it when: Use this before deeper legal review, to make sure the right questions are on the table from the start.

20 minutes12-point checklist
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