Resources & Insights
Expert frameworks, strategic guidance, and real-world lessons for building data-driven organisations and delivering AI projects that succeed.
Featured Articles
Deep dives into frameworks, strategies, and lessons learned from real-world projects.
Managing AI Projects: A Framework for Success
17-stage lifecycle, team roles, and best practices
Discover why 85% of AI projects fail and how a structured lifecycle, clear team roles, and proven methodologies can transform your AI initiatives into measurable business success.
Data Architecture for Local Council Innovation
Breaking silos, ensuring quality, and scaling efficiently
Based on the TechUK Local Public Services Innovation Week 2023. Learn how to design data infrastructure that breaks down departmental siloes, ensures governance, and scales to support innovation across public services.
Coming Soon
New articles on MLOps best practices, data quality frameworks, and scaling machine learning in production are in development.
Get in touch if you'd like to suggest a topic or discuss how these frameworks apply to your organisation.
About This Hub
This collection of articles represents lessons learned from hands-on experience building and scaling data platforms, leading teams, and delivering AI projects across industries. Each article is grounded in real-world challenges and proven solutions.
Whether you're launching your first AI initiative, designing data infrastructure for complex organisations, or scaling existing systems, these frameworks provide practical guidance and actionable insights.
Interested in collaborating? I'm available for consulting, speaking engagements, and advisory roles. Let's connect.
Apply These Frameworks to Your Organisation
These frameworks are battle-tested across industries. Whether you're optimising existing operations or launching new initiatives, they can accelerate your journey and reduce risk.