EAAPLEnterprise AI Architecture Pattern Library
Architecture Maturity Data · Q2 2026

Architecture Pattern Adoption
by Industry

How well each industry has adopted the architectural patterns that govern, secure, and operate AI systems — scored 0–4 per domain across 161 enterprise assessments.

These scores are on the EAAPL 0–4 architecture scale.For overall AI maturity scores (0–100), seeAEAI Benchmark ↗
AEAI Q2 2026 composite:54.9/100Developingcorporateai.com.au ↗Live Q2-2026
161Participants
6Industries
4Quarters of data

Cross-Industry Snapshot

Overall average maturity1.8Defined
Strongest domainData & Complianceavg 2.1
Weakest domainObservabilityavg 1.6
Avg improvement Q3’ 24 → Q2’ 26+0.4per domain across all industries

Industry Breakdown

Banking & Financial Services

47 organisationsHigh Regulatory Risk
AEAI Q2 202670.5/100Rank #22.8/4 EAAPL↗ AEAI
Pattern adoption avg2.1Defined
Domain scores vs cross-industry average
Cross-industry avg
Governance2.1Security2.4Data & Compliance2.3Observability1.8Architecture1.91234
Quarterly trend — all domains
01234Q3 2024Q4 2024Q1 2025Q2 2026
Governance
Security
Data & Compliance
Observability
Architecture

Cross-Industry Comparison

IndustryGovernanceSecurityData & ComplianceObservabilityArchitectureOverall
Banking & Financial Services2.12.42.31.81.92.1
Insurance1.92.12.01.61.71.9
Government & Public Sector2.32.02.51.51.41.9
Healthcare1.81.92.21.41.31.7
Retail & Consumer1.41.61.81.51.61.6
Utilities & Infrastructure1.71.81.91.61.51.7
Cross-industry avg1.92.02.11.61.61.8
Top score in column
≥ 2.5 (Managed+)
1.5–2.5 (Defined)
< 1.5 (Initial/Not Started)

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