Research
How we think about compliance automation
AI in compliance raises real questions about accuracy, governance, and trust. We've written about the design decisions behind Acompli — why human review matters, how knowledge compounds, and what responsible automation actually looks like in regulated documentation work.
Why Acompli is built for governance, not auto-drafting
When people talk about using LLMs for compliance, the conversation often gets reduced to "speed." That framing misses the real problem. In GDPR work, output is only valuable if it is defensible.
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Transfer Impact Assessments under GDPR: Compliance Guide
In the wake of Schrems II, TIAs have moved from best practice to mandatory validation. This guide examines practical steps to validate international data flows.
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GDPR RoPA Requirements in Ireland and the UK
The Record of Processing Activities is the foundational map of an organisation's data estate. A guide to requirements across the Irish and UK jurisdictions.
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The Self-Reinforcing Data Lifecycle: Building Institutional Knowledge
Most compliance platforms treat each assessment as an isolated document. Acompli takes a different approach — a system where every validated piece feeds back into future work.
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The Psychology of DPIA Completion: Why Experts Struggle
DPIA questions are written in the language of law, not the language of expertise. This mismatch creates friction, delay, and often poor-quality responses.
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Automating the Administrative Burden: Intelligent Risk Identification
Risk identification requires judgment. What it should not require is hours of administrative form-filling. Acompli separates the expert judgment from the documentation.
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Acompli is Built to Scale the Privacy Function, Not Sideline It
There's a lazy storyline that "LLMs will do compliance." The real opportunity isn't replacement — it's scale. Acompli makes the DPO role more impactful.
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