The Hub-and-Spoke model is built on one principle: Compile everything once. Distribute everything from that single source. Instead of asking an exhausted team to make dozens of simultaneous creative decisions — what to clip, how to frame it, which format, which audience, by when — the model collapses all of that into one focused synthesis pass. Once the synthesis is done, every subsequent asset becomes a lower-effort extract from a single approved source of truth.

We talk a lot about the philosophy of a story bank - how it de-risks institutional memory, stops beneficiary fatigue, and saves you from the funding report scramble. But what does it look - it should be a simple, highly intentional sheet designed for one specific function: instant, high-speed retrieval.

What if we stopped treating the annual report as a publication event, and started treating it as a year-long communications asset?

The temptation is real. Let AI do the heavy lifting and move on. But let me ask you this - if you changed the name of the programme participant or your organisation in your last AI-assisted communication, would anyone notice? In social impact communications, that question matters more than anywhere else. Here are the pitfalls I have learned to avoid and the expertise I bring as a human communicator into the work. Steer clear of the AI-processed polished slop The communities