# Dang Le

> AI Systems Advisor for CTOs and senior engineering leaders. Helps enterprise organisations integrate AI into production systems with architectural discipline, delivery governance, and operational ownership.

Dang Le works at the intersection of architecture, delivery, and AI. Background is enterprise software — .NET, Azure, SQL Server, large-scale production environments, and cross-team release management. Three practice areas: Applied AI Integration, Architecture & Delivery Review, and Execution Governance. Senior engagements only; no account managers or junior consultants.

Core positioning: AI in production deserves the same architectural discipline, delivery governance, and operational ownership as any production-critical system. Most AI initiatives stall in the gap between what models can do and what production can hold — that gap is a systems problem, not a model problem.

## Core pages

- [Homepage](https://dang-le.com/): Positioning, three service pillars, selected anonymised engagements, principles, and how to start a conversation
- [About](https://dang-le.com/about): Background in enterprise software, philosophy on systems, AI, execution, and endurance
- [Services](https://dang-le.com/services): AI Execution Advisory, Architecture & Delivery Review, Applied AI Integration Strategy — including outcomes for each
- [Work](https://dang-le.com/work): Engagement types — Enterprise Release Governance, System-Level Redesign, AI Workflow Integration, Production Risk Reduction
- [Contact](https://dang-le.com/contact): How to start a 30-minute working call
- [Blog](https://dang-le.com/blog): Writing on AI delivery, systems thinking, execution governance, and engineering leadership

## Writing

- [The AI Delivery Multiplier: Engineering in 2026](https://dang-le.com/blog/engineering-leadership/ai-delivery-multiplier-engineering-2026/): How AI changes the economics of engineering delivery — and where the leverage actually lives
- [Definition of Done](https://dang-le.com/blog/execution/definition-of-done/): What "done" actually means in delivery, and why most teams get it wrong
- [RSS Feed](https://dang-le.com/rss.xml): Latest articles
- [Blog category — AI](https://dang-le.com/blog/category/ai/): AI integration, governance, and production readiness
- [Blog category — Execution](https://dang-le.com/blog/category/execution/): Delivery discipline, release governance, definition of done
- [Blog category — Systems](https://dang-le.com/blog/category/systems/): Systems thinking, architecture, structural risk
- [Blog category — Notes](https://dang-le.com/blog/category/notes/): Shorter observations and field notes

## Optional

- [Sitemap](https://dang-le.com/sitemap-index.xml): Machine-readable index of all pages
- [LinkedIn profile](https://linkedin.com/in/danglvh): Professional background and contact