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Qapitol Research · First edition

EU AI Act Readiness Index 2026

Most regulated enterprises remain structurally unprepared for EU AI Act obligations despite partial enforcement beginning February 2025, with 78% taking no meaningful compliance steps and 83% lacking even basic AI system inventories—the foundation for all subsequent requirements.

June 2026·Designed PDF · 35 pages·Free with email

Executive summary

  • The EU AI Act entered partial enforcement in February 2025 with prohibited practices taking immediate effect, yet as of June 2026 the vast majority of regulated enterprises have taken no substantive compliance steps. The implementation deficit is not informational—organizations understand their obligations—but structural: they lack the foundational capabilities, cross-functional ownership, and operational processes required to inventory systems, classify risk, generate technical documentation, and demonstrate conformity before upcoming deadlines in December 2027 for standalone high-risk systems and August 2028 for safety-critical embedded AI.
  • The compliance gap manifests across every major obligation category. Eighty-three percent of organizations have no formal inventory of AI systems they use or deploy, preventing the risk classification and conformity assessment that follows. Sixty-one percent have no process for generating the technical documentation that Article 11 requires before market placement and mandates retaining for ten years. Only 28% have implemented audit-survivable human oversight capabilities, 24% meet Article 10 data governance standards, and 22% satisfy Article 11 technical documentation requirements. These deficits compound: without system inventories, risk classification is impossible; without data lineage, Article 10 compliance fails; without documented risk management systems, Article 9 conformity cannot be demonstrated.
  • The organizational substrate for compliance is absent. Seventy-four percent of enterprises have no designated internal owner coordinating AI Act obligations across the multiple functions the regulation touches—legal, technical, procurement, HR, and operations. Where governance roles exist, they are weakly integrated, positioned below executive level, and lack authority to enforce cross-functional accountability. This creates predictable implementation failure: compliance ownership without clear accountability across interconnected teams results in programs that consume 37% more time than planned yet fail to deliver the documented evidence auditors and notified bodies will require. The deferral granted by the May 2026 AI Omnibus—moving standalone Annex III obligations from August 2026 to December 2027—provides 18 additional months, but time alone will not close gaps rooted in missing governance structures, inadequate vendor contracts, and absent data lineage capabilities.

Headline prediction

The 18-month window to standalone high-risk system compliance (deferred to December 2027) will not close the implementation gap without fundamental changes in governance ownership, vendor contractual frameworks, and data lineage capabilities.

What this report covers

  • Current compliance performance across system inventory, risk classification, technical documentation, human oversight, and data governance obligations
  • Organizational accountability gaps and the structural reasons 74% of enterprises have no designated AI Act compliance owner
  • Vendor risk and third-party AI supply chain challenges, including contractual gaps in training-data lineage and technical transparency requirements
  • Cost models and implementation timelines for enterprise-wide AI governance programs, readiness assessments, and control-mapping automation
  • Article-by-article readiness levels for high-risk system requirements and the December 2027 and August 2028 compliance deadlines

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