News & insights
AI software development news and insights
Field notes on AI engineering, revenue systems, automation and search visibility, written by the team doing the builds.
Security and Data Governance for AI Software: Access, PII and Logging
How to design row-level access, PII handling and audit logging into an AI system from the ground up, not as an afterthought.
Building AI software with AI: how delivery timelines collapsed
Using AI across architecture, code, tests and QA changes the economics of custom software. Here is what that means for scope, cost and risk.
Measuring ROI on an AI Build: The Four Numbers That Matter
Cut through vague AI value claims with four concrete metrics that show whether a build actually paid for itself.
Why AI CRMs beat configured CRMs on pipeline velocity
A CRM that stores records is a filing cabinet. A CRM that prioritises, writes and forecasts is a sales multiplier, and the difference shows up in pipeline within weeks.
Generative engine optimisation: getting cited in AI answers
Search now has two winners' circles. Ranking is only half the job, the other half is being the source an AI assistant quotes.
Choosing Your AI Model Layer: Routing, Cost Control and Fallbacks
A practical guide to structuring the model layer of an AI product so it stays fast, affordable and resilient as it scales.
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