AI adoption
AI adoption should start with business friction, not tools
A practical look at where AI can help, where it cannot and why adoption needs clear ownership.
Insights
Practical notes on technology decisions, AI adoption and modernisation.
This section will be used for concise articles on the decisions that sit behind successful technology delivery: business context, data quality, governance, delivery risk and sensible use of AI.
Article themes
Topics being developed
Decision-making
Technology strategy often fails before delivery begins
Why unclear decisions, weak assumptions and poor context can create delivery problems long before code is written.
Legacy systems
Legacy systems are often business-critical, not just technical debt
How to review older systems without underestimating the business process knowledge they contain.
AI governance
What leaders should ask before funding an AI initiative
Questions around value, data, risk, access control, evaluation, ownership and operating model.
Cloud and data
Cloud modernisation is usually about more than hosting
Why data, process, integration, governance and operating discipline often matter more than the platform choice.
AI agents
AI agents need guardrails, ownership and clear purpose
Practical considerations before introducing agentic workflows into business processes.
Publishing approach
Readable, practical and grounded.
Articles should be short enough to read easily, but substantial enough to be useful. The aim is to share practical judgement rather than commentary on every new tool or announcement.
Future articles can be added as simple static HTML files under the articles folder and linked from this page.
Want to discuss one of these themes?
Get in touch with a short outline.
Relevant enquiries include AI adoption, data platforms, legacy modernisation and practical technology leadership.