EAAPLEnterprise AI Architecture Pattern Library

Expert Contributor Ecosystem

Shape the AU Enterprise AI Pattern Library

Enterprise practitioners, law firm partners, and Big 4 consultants are building the most authoritative AU-regulated AI architecture resource. Contribute your production experience and regulatory expertise.

138Total Patterns
0Community Annotations
0Pending Proposals
Contributors

How to contribute

Three ways to contribute

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Submit a New Pattern

Propose a new enterprise AI pattern for the library. Patterns must be production-tested, AU-regulatory-aligned, and not already covered in the library.

Process

  1. Submit form with GitHub PR URL
  2. Editorial review (2–4 weeks)
  3. Community vote period
  4. Adoption into library
Propose a Pattern →

Annotate an Existing Pattern

Add a regulatory interpretation, case study, implementation note, risk flag, or warning to any pattern in the library.

Verified annotations from law firms and Big 4 firms are badged as expert contributions.

regulatorycase-studyimplementationriskwarning
Browse Patterns to Annotate →

Join the Working Group

Quarterly AU Enterprise AI Patterns Working Group. Review submissions, set editorial standards, and shape the roadmap for the library.

Next sessionQ3 2026
Current membersFounding cohort
Register Interest →

View community proposals

See all proposed and adopted patterns submitted by the community.

View Proposals →

Audit Trail

Published Snapshots

Each quarterly release is cryptographically fingerprinted (SHA-256) at the moment of publication — covering pattern counts, community adoptions, and accepted contributions. The hash cannot be retroactively altered.

DatePatternsAdoptionsAcceptedSHA-256
15 June 202613800d2c6eda2aca8c78d6af8087b852b190bcaec885a61b286f67acf21e5b4d46e57

🔒 SHA-256 · immutable · v1.0