Data, Delivered

Agentic AI is moving from experimentation into production, executing queries, transforming data, and making decisions at machine speed. But autonomy only works as well as the foundations beneath it. Without semantic clarity, data contracts, governance, lineage, and tested transformations, AI agents can amplify errors rather than create value. The organisations that succeed will be those that treat data platform discipline not as a quality initiative, but as an AI readiness im

Every cloud migration business case reads like a holiday brochure. Glossy infrastructure savings, confident cost reductions, faster time-to-insight. What nobody includes is the bill that arrives once you are actually living there. The operational tax. After 25 years in data and transformation and four enterprise cloud platforms built from the ground up, I can tell you: the migration is the easy part. What comes next is where cloud ROI is actually made or lost.

The dashboard era was built for a different consumer. Agents don't work like that. An agent doesn't open a dashboard. It asks questions, chains decisions together, and acts. It needs to understand what a 'customer' means in your business, not just query a table called dim_customer. It needs to know whether the data it's looking at is fresh enough to trust, whether it's allowed to use it, and what happened upstream to produce it.