EU AI Act compliance software, built for the decisions you have to prove
Most compliance software documents your program. KLA governs the decision itself — enforcing policy and human oversight on high-risk AI actions at execution time, and sealing evidence an auditor can verify independently. It is the runtime layer that sits alongside your GRC or AI governance system of record.
Four categories, two you probably need
“AI compliance software” now describes four different products. KLA owns the runtime layer; pair it with a system of record.
System of record (you likely have one)
A GRC platform (Vanta, Drata) if AI sits inside a broader program, or an enterprise AI governance platform (OneTrust, Credo AI) for portfolio inventory, classification and impact assessments.
Runtime control plane (this is KLA)
Enforces policy and human approval on high-stakes AI actions as they run, and captures verifiable evidence. This is where Article 14 oversight and Article 12 record-keeping are actually satisfied — not in a binder.
Comparing vendors across all four categories? Read the neutral buyer’s guide.
One runtime layer for GDPR and the EU AI Act
The two regimes overlap on records, oversight and accountability. KLA produces the case-level execution evidence both expect for automated, high-stakes decisions.
| Obligation | GDPR | EU AI Act | How KLA helps at runtime |
|---|---|---|---|
| Lawful, documented decisions | Art. 5–6 lawfulness; Art. 22 automated decisions | Art. 9 risk management | Policy-as-code checkpoints decide allow / warn / require approval / block before an action runs |
| Human oversight | Art. 22 right to human intervention | Art. 14 human oversight | Decision Desk routes high-stakes actions to a named reviewer with documented approve / override |
| Records & traceability | Art. 30 records of processing | Art. 12 record-keeping | Every decision sealed at execution time into a tamper-evident execution-lineage record |
| Provable evidence on demand | Art. 5(2) accountability | Art. 11 + Annex IV technical documentation | Evidence Room exports an independently verifiable pack — manifest + checksums, not screenshots |
Built for regulated decisions
KLA is strongest where an AI agent takes an action you must defend to a regulator.
Financial services & AML
Alert triage, SAR maker-checker, sanctions screening — governed under DORA and the AMLR. Financial services
Insurance & claims
Claims triage and underwriting decisions with human oversight and evidence. Insurance
Pharma & healthcare
Pharmacovigilance and quality workflows with 21 CFR Part 11-grade audit trails. Pharma
Frequently asked questions
- What is EU AI Act compliance software?
- It is the tooling that helps you meet the EU AI Act’s obligations for high-risk AI — risk management, human oversight, record-keeping, and technical documentation. In practice it spans four categories: GRC automation, enterprise AI governance, LLM observability, and runtime control planes. Most regulated teams run two: a system of record plus a runtime layer that enforces and proves what high-risk AI actually does.
- Does KLA replace my GRC or AI governance platform?
- No. KLA is the runtime control plane, not a system of record. It sits alongside Vanta, OneTrust, Credo AI and similar — they manage the program and the inventory; KLA governs the decision itself with policy enforcement, human approvals, and tamper-evident evidence for your highest-risk workflows.
- Does it cover both GDPR and the EU AI Act?
- The two overlap on records, transparency, and oversight. KLA produces the case-level execution evidence both regimes expect for automated, high-stakes decisions — so the same runtime controls and evidence pack serve GDPR accountability and EU AI Act Articles 12, 14, and Annex IV.
- When do EU AI Act obligations apply?
- After the May 2026 Digital Omnibus political agreement, stand-alone high-risk obligations (Annex III) apply from 2 December 2027 and embedded high-risk (Annex I) from 2 August 2028. Deployer transparency under Article 50 stays at 2 August 2026. The delay is runway to put governed execution into real workflows now, not a reason to wait.
Govern AI by execution, not by paperwork
If your highest-risk workflows have to prove what happened, that proof is generated at runtime — or it is not generated at all.