Quick answer

If you are a provider of a high-risk AI system under the EU AI Act, or a large deployer with more than a handful of in-scope systems, you need a compliance platform. If you are a small deployer with one or two third-party AI tools, you almost certainly do not — a shared Notion page and vendor questionnaires are enough. The platform decision splits by company size, number of in-scope systems, and whether you sell AI as a product.

What an AI compliance platform actually does

The market has converged on six core capabilities: (1) AI inventory and risk-tiering; (2) model / dataset lineage tracking; (3) assessment workflows (DPIA, FRIA, conformity assessments); (4) policy and control library mapped to frameworks (EU AI Act, NIST AI RMF, ISO 42001); (5) evidence capture for audits; (6) dashboards and regulatory reporting. Most vendors do all six to varying depth.

The six jobs-to-be-done

Inventory — know every AI system in the organisation.
Risk classification — map each system to AI Act risk tiers.
Assessment workflows — run FRIAs, DPIAs, bias tests, conformity assessments.
Evidence and audit trail — defensible record for regulators.
Ongoing monitoring — detect drift, incidents, regulatory updates.
Reporting — board, regulator, customer-facing.

Vendor landscape in 2026

Enterprise all-in-one (GDPR + AI Act + SOC 2 + ...)

OneTrust, TrustArc, BigID, Securiti. Strengths: breadth, enterprise credibility, integrations. Weaknesses: expensive (typical ARR €60,000-€250,000), heavy implementation, AI modules sometimes feel bolted on.

AI-native governance

Credo AI, Holistic AI, Monitaur, Fairly AI. Strengths: AI-Act-first, strong risk and fairness assessments, rapid onboarding. Weaknesses: narrow outside AI, less value if your compliance remit is broader.

AI compliance + automation (middle ground)

GeraCompliance, Relyance AI, Luminos, RegScale (AI module). Strengths: AI Act + GDPR + ISO 42001 mapping, workflow automation, SME-affordable (€4,000-€30,000 ARR). Weaknesses: younger category, less depth than OneTrust for non-AI compliance.

DIY

Notion / Confluence + spreadsheets + DPIA templates. Honest choice for small deployers. Weakness: does not scale past 5-10 systems.

Decision framework

Small deployer (< 5 AI systems, < 200 FTE): DIY or SME-tier platform like GeraCompliance (€4,000-€10,000 ARR). Do not overbuy.
Mid-market deployer (5-30 AI systems, 200-2,000 FTE): mid-tier AI-native or mixed platform. Typical spend €10,000-€40,000 ARR.
Large deployer or provider (30+ systems, enterprise): enterprise all-in-one + AI-native add-on or specialist. €60,000-€250,000 ARR.
Regulated industry (finance, health): prioritise audit-trail depth and SOC 2 Type II evidence of the vendor themselves. Weight "explainability" features less — they rarely move regulators.

Red flags when shopping

Vendors promising "full AI Act compliance out of the box" — compliance is your obligation, not theirs. A tool supports compliance; it does not achieve it.
Annual-only contracts with no escape clause. Demand break-clause on material regulatory change.
Vendors storing your model artefacts on jurisdictions you cannot defend to a regulator.
Pricing that scales with employee count but not with AI-system count — you end up paying for features you do not use.

What to check in procurement

EU AI Act Annex IV technical-documentation support out of the box.
NIST AI RMF and ISO 42001 mapping.
SOC 2 Type II report of the vendor (you are about to give them audit-sensitive material).
Data residency (EU, UK) options.
API access to your own data — avoid lock-in.
Exit clause: full export of your AI inventory, assessments, and evidence at any time.

AI Compliance Platform Buyer's Guide (2026)