Briefings on running a company with AI: marketing, operations, finance and the back office, and turning what you know into a product.
An AI marketing stack is the set of tools a marketing team uses to research, create, personalise, distribute, and measure, with AI running inside them. The useful question is not which tools to buy. There are 15,384 martech products on the market, up from 150 in 2011, and the list grows faster than anyone can…
AI content creation is the use of generative models to produce written, visual, or video content, and the honest summary of where it stands is this: the tools work, the average output does not, and the gap between those two facts is where the entire opportunity sits. Google does not penalise content for being AI-assisted….
AI marketing is the use of AI systems to do the work of marketing: researching a market, deciding who to talk to, producing the content, personalising the message, and measuring what any of it did. That definition is deliberately broad, because the interesting question is no longer which tasks AI can do. It is why…
AI for SEO in 2026 means two things at once: using AI to produce and optimise content, and optimising that content to be found by AI. Search no longer runs on one track. The traditional results page with its ranked links still exists, but it is increasingly overlaid with AI-generated answers, and a growing share…
AI for finance is the use of machine learning and generative AI to do three things in the finance function: automate the manual work, analyze data faster than a person can, and improve the quality of forecasts and decisions. In practice that runs from the unglamorous, invoice matching, reconciliations, expense processing, up to the strategic,…
An AI operating system, or AI OS, is the integrated layer a company runs its core work on: the workflows, the data, and the decisions across marketing, operations, and finance wired into one system the company owns, sitting on top of AI models it rents and can swap. It is a way of running the…