Ai-Strategy
AI Readiness Assessment Framework
A structured framework for assessing organizational AI readiness across data, team, process, and infrastructure dimensions.
Build vs Buy Framework for AI
A decision framework for evaluating when to build AI capabilities in-house versus buying a vendor solution.
Cursor, Claude Code, and Copilot: An Honest Enterprise Comparison
Not a feature matrix — a practitioner's view of where each AI coding tool actually performs well and where it falls short in a real engineering context.
Fractional CTO vs Full-Time: The Decision Framework
When does a company need a full-time CTO, and when does fractional make more sense? The decision depends on company stage, not headcount. Here are the specific trigger points.
From Manual to AI-Native: How One Engineering Team Transformed in 10 Weeks
A case study in applying Harness Engineering principles to a live engineering team — what changed, how fast, and what made the difference.
How We Cut CI/CD Pipeline Time by 60% with AI-Assisted Review
A detailed account of how one engineering team used AI to compress their CI/CD cycle time — what was slow, what we changed, and what didn't work the first time.
Manufacturing + AI: The Overlooked Operational Opportunity
AI in manufacturing gets talked about in terms of robotics and smart factories. The real opportunity is quieter and closer to hand: operational intelligence, quality control, and supply chain visibility.
Technical Debt in the AI Era: What Changes, What Stays
AI doesn't erase technical debt — it amplifies it. How to think about legacy modernisation and debt management when AI tools are in the picture.
The 90-Day AI-Native Transformation Playbook
A week-by-week framework for taking an engineering organisation from conventional development to a working AI-native workflow. What to do in each phase, and what to measure.
The AI Maturity Assessment: Where Does Your Company Actually Stand?
Most companies think they're more AI-ready than they are. This is the framework I use to honestly assess where a company stands — and what it would take to move forward.
The Hidden Cost of AI Tool Sprawl
Most companies buy more AI tools than they use, and the ones they do use don't connect. How to audit your AI stack and build coherence before the waste compounds.
Vibe Coding for Non-Technical Founders: Ship Without a CTO
Cursor, Claude Code, and modern AI tools have made it possible for non-technical founders to prototype and ship software. Here's what's actually possible — and where the limits are.
What Is Harness Engineering (And Why Your Dev Team Needs It)
Harness Engineering is the discipline of building the environment that lets AI agents do reliable, production-grade work. Here's what it means and why ad-hoc AI adoption falls short.
Why Your Engineers Aren't Using AI Tools (And How to Fix It)
Most companies buy AI tools for their engineering teams and see partial adoption. The problem is rarely the tools. It's the change management layer that nobody planned for.