AI Governance Readiness Assessment Tool
An interactive assessment designed to evaluate how prepared your organization is to integrate AI without compromising architecture, governance, and semantic integrity.
Projects
AxiomKit Spring AI
A production-grade Spring Boot template demonstrating how to integrate AI capabilities without sacrificing
domain purity, test determinism, or long-term maintainability. Includes profile-gated adapters, ArchUnit
enforcement, Postgres + Flyway, and an AGENTS.md governance layer for AI-assisted development.
What’s inside (high level)
- Vertical slice structure with strict boundaries
- Ports & adapters for AI + persistence
- Stub-by-default mode for deterministic testing
- OpenAI adapter behind profile (no vendor coupling in domain)
- Postgres + Flyway profile
- ArchUnit enforcement + governance via AGENTS.md
- Docker Compose (DB-only + full stack)
PageChange (Chrome Extension)
A Chrome extension for monitoring web pages for changes. (Status: pending review / early-stage.)
Writing
I write about backend architecture, DDD, and integrating AI into systems without creating long-term fragility.
- Integrating AI into Spring Boot Without Destroying Your Architecture
- When AI Refactors Break Layering (And How to Prevent It)
- AI Coding Assistants and the Erosion of Ubiquitous Language
- Why Most Teams Overestimate Their AI Readiness (It’s an Architecture Problem)
- Architecture Is a Constraint System
- AI Governance Doesn’t Need to Start Big
- AI Works Better When Behaviour Is Explicit
- What Building a DSL Teaches Us About Constraints
Contact
Best: LinkedIn. Email is available, but lightly obfuscated to reduce harvesting.
LinkedIn
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Email
(Click “Reveal email” to generate a mailto link in your browser.)
