AI for charities: supporter service, grants and capacity
Charities run on trust and on too little time. The AI opportunities that respect both are practical ones, none of them needs a large budget, and most of them need a policy before a product.
Charities run on trust and on too little time. The AI opportunities that respect both are practical ones, none of them needs a large budget, and most of them need a policy before a product.
Food and drink businesses carry the manufacturer's problems and the consumer brand's at once. The AI opportunities that follow, and why the data audit comes before the forecasting model.
Retail was early to AI and most retailers still think of it as the customer-facing bot. The faster returns are elsewhere: product content, segmentation, service assistants grounded in the systems of record, and forecasting once the data is pooled.
Support queues, content at scale, reporting, SEO and now AI search: an agency's time goes on workflows with a codebase or a data source behind them, which makes agencies unusually well placed for tailored AI. What we did with our own.
A magazine publisher's AI opportunities split cleanly in two: the digital platforms, where the work is data and personalisation, and the print-led workflows, where it is production and archive. Treating them as one programme fails both.
Run discovery across R&D, manufacturing, procurement, sales and marketing in an industrial business and the same eleven opportunities surface in every function. What they are, which are ready, and where the data gets in the way.