Enterprise technology evaluations are often reduced to spreadsheets. Does the product generate text? Tick. Does it summarise documents? Tick. Does it provide agents? Tick. Does it support multiple models? Tick. Does it have a chatbot? Tick. This approach creates the illusion of objective comparison while ignoring the most important question: What architecture allows those features…

Almost every CMS vendor now describes its platform using the same vocabulary. AI-powered. AI-first. Agentic. Intelligent. Autonomous. Contextual. The terminology has changed so quickly that it is becoming difficult to distinguish a genuine architectural shift from a product team adding a chatbot to the editorial interface. Adobe now describes Experience Manager Sites as an agentic…

For several years, the technology industry has enjoyed predicting the death of enterprise software. Cloud computing was supposed to eliminate traditional platforms. Composable architecture was supposed to dismantle the suite. Low-code tools were supposed to remove the need for specialist systems. Now AI agents are apparently going to replace the CRM, CMS, ERP and almost…

The rise of AI-native development platforms such as Lovable has reignited an old debate: do organisations still need a Content Management System? Lovable’s messaging is intentionally bold. Rather than promising faster CMS migrations, it questions whether organisations should migrate at all. The proposition is simple: describe your application in natural language, generate a modern React…

For the past few years, most enterprise AI conversations have focused on models. Which model is smartest? Which model is fastest? Which model has the largest context window? Which model performs best on a particular benchmark? Those questions matter, but they increasingly miss the more important issue. The future of enterprise AI will not be…