The AI Act (Regulation (EU) 2024/1689) does not replace the GDPR (Regulation (EU) 2016/679) — both apply concurrently to any AI system processing personal data, which is why a single platform covering both is now a distinct buying category.
Key Takeaways
- Dual-compliance platforms cost roughly 1.5-2x a GDPR-only tool, reflecting the added AI Act modules.
- Cost by size: ~EUR 5,000-15,000/year (small), EUR 15,000-40,000/year (mid), EUR 40,000-150,000+/year (enterprise).
- The AI Act adds to, does not replace, GDPR — both apply to AI systems using personal data.
- The decisive dual features: an AI system inventory linked to the ROPA, risk classification, and FRIA support (Art. 27).
- High-risk AI obligations apply from 2 December 2027 (Annex III) and 2 August 2028 (Annex I product-embedded), deferred by the Digital Omnibus on AI; GPAI provider obligations applied from 2 August 2025 and the Art. 50 transparency duties still land on 2 August 2026.
Average Cost by Company Size (2026)
| Company size | Indicative EUR/year | What it typically includes |
|---|---|---|
| Small (<50 staff) | 5,000-15,000 | ROPA, DPIA, DSAR + AI inventory, risk classification |
| Mid (50-250 staff) | 15,000-40,000 | Above + FRIA support, GPAI documentation, workflows |
| Large (250-1,000) | 40,000-80,000 | Multi-entity, integrations, audit assurance |
| Enterprise (1,000+) | 80,000-150,000+ | Full GRC, multi-jurisdiction, on request |
These are market-realistic ranges, not vendor quotes — enterprise pricing is quoted on request, and the spread within each band is wide because it depends heavily on how many AI systems you run and whether you are a provider or only a deployer. As a rule of thumb, budget the dual platform at 1.5-2x what a GDPR-only tool would cost, because the AI Act modules (inventory, classification, FRIA, GPAI documentation) are genuinely additional work rather than a relabelled DPIA. For the GDPR-only baseline, see GDPR software cost and pricing in the EU and the broader GDPR compliance cost guide.
Named Vendors That Span Both Regulations
TrustArc — US privacy suite with AI governance capabilities; strong assessments, US hosting, lighter EU-market localisation.
Didomi — European vendor rooted in consent management, expanding into privacy and AI governance; strong for consent-centric organisations.
Enterprise GRC (ServiceNow, MetricStream) — full AI-risk and privacy modules for very large regulated groups; six-figure programmes.
For the dedicated commercial comparison of AI Act tooling specifically, see AI Act compliance software; for a TOFU explainer of the tool category, AI Act compliance tools.
What a Dual Platform Must Actually Cover
The value of one platform is the shared data model. An AI system processing personal data appears in both your GDPR records and your AI Act inventory; a good dual tool links them rather than maintaining two silos. Concretely, it must cover:
- GDPR side: the Article 30 ROPA, DPIAs, data-subject-rights workflow, legal-basis and consent records.
- AI Act side: an AI system inventory, risk classification (prohibited / high-risk / limited / minimal), Fundamental Rights Impact Assessment support under Article 27, GPAI provider documentation, and Article 50 transparency obligations.
- The bridge: where an AI system is high-risk and processes personal data, the DPIA and the FRIA overlap; a dual tool reuses evidence across both rather than duplicating it.
For the regulatory grounding, the EU AI Act compliance guide walks through the obligations, and our note on AI Act vs GDPR explains why both apply at once.
The overlap is not merely administrative convenience — it is a real reduction in duplicated legal analysis. Consider a hiring-support AI system, which is high-risk under Annex III. Under the GDPR it needs a DPIA because it is large-scale automated processing that can significantly affect individuals; under the AI Act the deployer needs a FRIA assessing its impact on fundamental rights. Both assessments ask overlapping questions: what data feeds the system, who is affected, what could go wrong, what safeguards exist. A siloed setup answers those questions twice, in two documents, maintained by two workflows that inevitably diverge. A dual platform answers them once and generates both artefacts from a shared evidence base — and when the system changes, one update propagates to both. That is where the 1.5-2x price premium over a GDPR-only tool actually pays back: not in the licence, but in the analyst hours you do not spend reconciling two versions of the same truth.
Why Timelines Push This Purchase Now
The AI Act phases in: prohibited practices and the AI-literacy duty applied from 2 February 2025, GPAI provider obligations from 2 August 2025, and the general application of the Act together with the Art. 50 transparency duties from 2 August 2026. The high-risk regime moved. The Digital Omnibus on AI — adopted by the European Parliament on 16 June 2026 and given final Council approval on 29 June 2026 — defers Annex III standalone high-risk obligations from 2 August 2026 to 2 December 2027, and Annex I product-embedded high-risk systems from 2 August 2027 to 2 August 2028. The reason was the harmonised standards, which were not ready to give a presumption of conformity; the substance of the obligations is unchanged. Official Journal publication was still pending at the end of July 2026, and the amending regulation enters into force three days after it.
Read the deferral narrowly. It touches the high-risk regime only: the Art. 5 prohibitions, the Art. 4 AI-literacy duty, the GPAI obligations under Arts. 53 and 55 and the Art. 50 transparency duties all keep their original dates. That leaves two clocks running at different speeds, and the buying case rests on both. The near one is 2 August 2026 — days away, and it catches any organisation running a chatbot or publishing synthetic content, whether or not it operates anything high-risk. The far one is December 2027, which buys sequencing room rather than idle time: a system put into service today has to be conformant then, and the Annex IV technical documentation describes design decisions being taken now. Assembling that evidence retrospectively from a running system, alongside the GDPR record for the same data, is the expensive way to do it — which is the practical argument for putting the inventory in one place early rather than at the deadline. The European Commission’s AI Office oversees GPAI models, and the EDPB (edpb.europa.eu) remains the authority on the personal-data dimension — two supervisors, one dataset.
How to Test a Dual Platform Before Buying
Because the whole value proposition rests on a shared data model, the only test that matters is whether one entry populates both regimes. Run the proof of concept on your own worst-case system rather than a vendor sample. Pick a real AI system that both processes personal data and is plausibly high-risk — a hiring-support tool, a credit-scoring model, a customer-profiling engine — and enter it once. Then check whether it appears, correctly classified, in both the AI Act inventory and the Article 30 ROPA without re-keying. If you have to create it twice, you are buying two tools in one login, not a genuinely integrated platform.
Next, stress the assessment overlap. Trigger both the DPIA and the FRIA for that system and watch whether the tool reuses the shared facts — data used, individuals affected, risks and safeguards — or forces you to answer the same questions in two disconnected forms. A real dual platform pre-fills the FRIA from the DPIA evidence and flags only the fundamental-rights questions the AI Act adds. Then change one attribute of the system and confirm the update propagates to both artefacts; divergence on edit is the failure mode that silently corrupts a siloed setup over time.
Finally, test the role model. Enter one system where you are the deployer and one where you are the provider, and confirm the platform surfaces the different obligation sets rather than one generic checklist. Score vendors on those three behaviours — single entry, shared assessment evidence, and correct provider/deployer handling — before you look at price, because they are what the 1.5-2x premium over a GDPR-only tool is actually meant to buy.
FAQ
What is the average cost of a GDPR + AI Act dual-compliance platform?
Roughly EUR 5,000-15,000/year for companies under 50 staff, EUR 15,000-40,000/year for 50-250 staff, and EUR 40,000-150,000+/year at enterprise scale. Expect to pay about 1.5-2x a GDPR-only tool, because the AI Act inventory, classification and FRIA modules are additional rather than repackaged.
Which vendors provide dual GDPR and AI Act compliance software?
Does the AI Act replace the GDPR?
No. The AI Act adds obligations for AI systems; the GDPR continues to govern any processing of personal data. An AI system that uses personal data must comply with both concurrently, which is the reason dual-compliance platforms exist.
When do AI Act obligations apply?
Prohibited practices and the AI-literacy duty applied from 2 February 2025, general-purpose AI (GPAI) provider obligations from 2 August 2025, and the general application of the Act plus the Art. 50 transparency duties from 2 August 2026. High-risk obligations apply from 2 December 2027 for Annex III systems and 2 August 2028 for Annex I product-embedded systems, after the Digital Omnibus on AI deferred them — final Council approval 29 June 2026. The deferral covers the high-risk regime only, so the August 2026 transparency deadline is the nearest live trigger for most buyers, with the high-risk evidence trail the longer-run reason to consolidate tooling.