EAA / accessibility
EAA for startups: what actually matters before launch
How to shape headings, navigation, forms, and content hierarchy so the first launch is easier to maintain and easier to improve.
Read guideGDPR
GDPR for AI startups: the launch decisions that matter early
A practical overview of where data enters the system, which workflows need explicit decisions, and how to avoid compliance debt before product-market fit.
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What this guide helps you decide before launch
This is a flow-first guide for AI startups and digital businesses that need to understand where data enters, who controls it, and which decisions should be made before the product gets harder to change.
Where data enters
Prompts, uploads, forms, and backend handoff points all count. If the path is fuzzy, the risk is already there.
Who owns the flow
A launch owner should be able to say who decides the purpose, the legal basis, and the review path.
What the model provider sees
Check the vendor boundary, logging, retention, and any reuse before the feature becomes normal.
When to pause
If the feature starts profiling, handling sensitive data, or mixing sources, stop and confirm whether a DPIA review is needed.
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If the feature already touches real data, map it before the next release.
A structured pre-launch blueprint or audit helps turn unclear processing into decisions the team can keep using as the product grows.