Loading...
Loading...
Practical resources for technology leaders — scorecards, templates, and frameworks based on real production engagements. No email required for most.
Free resources to help you assess, plan, and prioritise.
A self-assessment framework to evaluate your organisation's readiness for AI adoption. Covers data, infrastructure, skills, governance, and commercial opportunity.
A structured template for auditing cloud spend across AWS, Azure, and GCP. Identify waste, right-size resources, and build a FinOps practice.
Map your organisation's manual processes, score them by automation potential, and prioritise the highest-ROI opportunities.
A practical checklist for assessing platform health: performance, security, scalability, observability, and technical debt.
Articles and frameworks from real production engagements. No theory — just what worked.
Battle-tested patterns for production-scale Node.js systems. Covers microservices, event-driven architecture, caching strategies, and observability.
Why most AI projects fail to deliver ROI — and the framework for identifying the ones that will. Based on real production engagements.
A pragmatic framework for complex cloud migrations. Sequencing, dependency mapping, rollback planning, and cost governance.
How to restructure your strategy, teams, and technology around AI capability — not as a bolt-on, but as an operating model.
From notebook to production: MLOps pipelines, model serving, monitoring, and the infrastructure decisions that matter.
How to know when your organisation is ready for AI. Data maturity, infrastructure readiness, team capability, and governance.
One email per month with new frameworks, case studies, and practical thinking on AI implementation. No spam, unsubscribe anytime.
Frameworks are useful. Having someone who's done it before is better. Let's talk about your specific situation.