Enterprise AI Engineering: From Experimentation to Production
Why 88% of enterprise AI initiatives get stuck in pilot purgatory, and the engineering disciplines required to bridge the gap between proof-of-concept demos and P&L value realization.
Knowledge Engine
Enterprise AI Insights & Field Notes
Architectural blueprints, failure analysis, and strategic perspectives on deploying Generative AI and Agentic Systems in production environments.
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Enterprise AI
AI Engineering
Agentic AI
AI Architecture
Financial Services AI
Why Enterprise AI Agents Fail After the Demo
Deconstructing the failure modes of autonomous agents in enterprise environments: error compounding, state drift, permission blindness, and non-deterministic execution.
Enterprise RAG Architecture: A Production Blueprint
Moving beyond naive vector search: how hybrid sparse-dense retrieval, document-level ACLs, and cross-encoder reranking deliver reliable enterprise retrieval systems.
RAG vs Agentic RAG: Enterprise Architecture Decision Guide
A structured architectural framework to evaluate when deterministic one-shot RAG suffices versus when multi-hop agentic retrieval justifies its cost and latency overhead.
AI Code Review Agents in the Enterprise SDLC
How to deploy automated code review agents that enforce architectural conventions and security postures without drowning developers in noise.
Enterprise AI Governance Without Killing Innovation
A pragmatic governance framework for highly regulated environments (such as Australian Financial Services and APRA CPS 234) that balances compliance with rapid experimentation.
External & Syndicate Writing Archive
Published Columns & Field Notes
Previously published articles syndicated across LinkedIn and Medium, now maintained with local canonical schemas.
Medium Archive
The Enterprise Rollout Playbook to Claude Code & Codex CLI
The Enterprise Rollout PlaybookA practical, verified guide for engineering teams shipping AI coding agents at scale — including routing through Amazon Bedrock, Portkey, or your own in-house LLM.Why…
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LinkedIn Archive
Gen AI - Practical adoption vs real value gap
Exploring why many organisations deploy AI without building the operating model needed for real value. The gap between AI pilots and production systems reveals a critical need for governance and execution discipline.
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LinkedIn Archive
Your Engineering Teams Do Not Need Another Expensive AI Platform
Challenging the idea that more tooling automatically creates better AI outcomes. Organizations are over-investing in platforms while underinvesting in foundational practices, strategy, and talent.
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LinkedIn Archive
When AI Can Spend Money: Agentic Payments Have Arrived in Australia
Discussing the regulatory and operating implications of autonomous systems in finance. The rise of agentic AI in payments brings both opportunity and significant governance challenges for financial institutions.
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LinkedIn Archive
AI Code Review Agent
Examining how AI can improve engineering quality, review loops, and delivery velocity. Automated code review accelerates development cycles while maintaining quality standards and security practices.
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Medium Archive
The Enterprise Generative AI Paradox: Bridging the Divide Between Adoption Saturation and P&L Value…
The Enterprise Generative AI Paradox: Bridging the Divide Between Adoption Saturation and P&L Value RealisationMacro-Economic Context and the Enterprise Productivity DisconnectThe global enterp…
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