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How a Global Enterprise Gained Real-Time Visibility Into Digital Performance Across Every Channel There is a version of digital marketing that most enterprises are running and a version that is actually useful. The version most organisations are running involves pulling reports from five different platforms, combining them in a spreadsheet, waiting two days for the data to be complete, and then making decisions based on numbers that are already out of date by the time anyone

Multi-Agent AI Systems: What Goes Wrong When Agents Start Making Decisions Autonomously Single-agent AI systems have a relatively contained failure surface. One agent, one task, one set of tools, one set of outputs to review. When something goes wrong, the scope is manageable. Multi-agent systems are different in kind, not just in complexity. When multiple agents are coordinating, delegating to each other, and taking actions based on each other's outputs, the failure modes co

The Hidden Cost of Old Healthcare Technology That Nobody Is Measuring Every healthcare organisation has technology it knows it should replace. An EHR module that has not been updated since the original implementation. A billing system running on infrastructure that the vendor stopped supporting two years ago. A patient portal that was state of the art in 2014 and is functionally embarrassing in 2026. These systems do not appear broken. They appear functional. And that appeara

What Is Vibe Coding and Is It Safe for Enterprise Software Development There is a new way to build software that has taken hold across the industry with remarkable speed. It is called vibe coding, a term coined by AI researcher Andrej Karpathy to describe the practice of building software primarily through natural language prompts to an AI rather than writing code by hand. Instead of a developer sitting down and writing functions line by line, they describe what they want, in

How to Migrate Legacy Systems to the Cloud Without Disrupting Operations Legacy system migration is where the gap between theory and practice is widest. The strategy is usually clear. The dependencies are not. The plan looks reasonable until you discover the undocumented integration that half the business relies on, the batch process that runs at 2 am and nobody thought to mention, or the third-party system that expects data in a format your new architecture does not produce.