OneTrust for AI Act + GDPR: One Platform, Two Regimes

Firms that already run a privacy platform like OneTrust for GDPR now face a natural question: can the same platform carry the AI Act obligations, given how much the two regimes overlap? The answer is broadly yes — and that is exactly why it is worth doing deliberately rather than by drift. The overlap between the AI Act and the GDPR is real, but it is not identity, and configuring one platform to serve both well requires understanding where the regimes share a spine and where they diverge, or you end up with a tool that half-satisfies each.

Why one platform makes sense

The AI Act and the GDPR ask adjacent questions of the same systems. Both require you to know your assets — data-processing activities for the GDPR, AI systems for the Act. Both require impact assessments — DPIAs under the GDPR, Fundamental Rights Impact Assessments for certain high-risk AI. Both care about data governance, documentation, accountability and evidence. A platform built to inventory processing, run assessments, track obligations and hold evidence for the GDPR has the right shape to do the same for the AI Act — which is why extending the existing tool is usually more sensible than buying a second one and reconciling them.

Where the regimes diverge, and the tool must too

• Two assessments, not one. A DPIA is not a FRIA. They overlap in evidence-gathering but answer different questions, and the platform should be configured to produce both from a shared process, not to treat one as a rename of the other.
• Different objects of inventory. GDPR inventories processing; the AI Act inventories AI systems and their risk classification. The same system may appear in both inventories for different reasons, and the tool has to model that.
• Different clocks. The GDPR applies now; the AI Act’s obligations arrive on a staggered schedule. The platform’s obligation-tracking has to respect that the AI Act deadlines are not the GDPR’s.
• Classification the GDPR never needed. The AI Act’s risk tiering — is this system high-risk under Annex III — is a new determination the platform must support, with the evidence trail behind it.

Making the configuration earn its keep

The value of consolidating is efficiency: map an AI system once and satisfy both regimes’ relevant obligations from a single record, run a combined assessment process, and hold one evidence base a supervisor from either regime can be shown. The failure mode is configuring the AI Act as a light rebrand of the GDPR module, which produces assessments that miss the Act’s distinctive requirements and an inventory that cannot answer the classification question. Done properly — with the divergences built in, not smoothed over — one platform carrying both regimes is a genuine efficiency. Done lazily, it is a false economy that leaves gaps in both.

Who this is for

This reading is for:

• Privacy and compliance leads extending a GDPR platform to the AI Act
• CTOs and DPOs who own OneTrust and now face AI Act obligations
• Firms deciding whether to operationalise two regimes in one tool
• Boards weighing platform spend against dual-compliance workload

Sixteen Pillars configures one platform to serve both the AI Act and the GDPR with the divergences built in, so you get genuine efficiency rather than gaps in both. Pricing is published at /pricing/. If this is live for your organisation and you would like an independent reading, the place to start is a conversation.

Sixteen Pillars is a technology governance consultancy based in Cyprus. Engagements run remote across the EU, UK, and Middle East, with on-site time where the engagement requires it.