Insights
Advice, thoughts and opinions on software, AI, industry and the work behind it.
The unstructured data problem hiding in your shared drive
Most of your organisation's knowledge isn't in a database. Here's how to make it useful, securely.
A practical AI adoption roadmap for regional businesses
You don't need a data-science team. You need a sequence. Start with the step most likely to prove value.
What private AI actually means (and what it doesn't)
The term gets thrown around loosely. Check the deployment model and trade-offs before you buy.
From spreadsheets to a single source of truth, without the big-bang rewrite
How to consolidate data incrementally so you get value early and avoid a risky overhaul.
Buy, build or integrate? A framework for custom software decisions
Off-the-shelf isn't always cheaper. A practical lens for when bespoke is the right call.
Automating approvals without losing the audit trail
Speed and accountability aren't opposites. Designing workflows that are fast and fully auditable.
Why serious engineering doesn't need a capital-city postcode
The case for regional organisations holding modern systems to the same standard as anyone.
Governance for AI: the minimum viable policy
You don't need a 40-page framework to start safely. The essentials that keep adoption responsible.
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