Straightforward thinking on AI strategy, automation, and how to improve the way your organisation works.
We built a batch-cooking GPT to reduce planning work for Go Dharmic volunteers. Then the charity asked us to open it to everyone. Here's what the project taught us about using AI to amplify work that's already doing good.
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As more people use generative AI to research businesses and services, being discoverable may only be part of the challenge. What information does AI need before it can understand when your business belongs in the answer?
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We independently built editorial assistants in ChatGPT and Claude to explore a simple question: can AI help create less generic content? What started as a mini hackathon became an informal experiment into prompting, expert interviews, research, voice and the cost of keeping a human genuinely involved.
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There is a strange tension developing around AI. Businesses are being told they need to move quickly, competitors are adopting it, new tools appear almost daily, and products that seemed impressive six months ago can suddenly look dated. So I understand why a business owner might say, “We need to be using AI properly within the next three months.” My first question would probably be: why three months?
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Artificial Intelligence is everywhere. Every day there’s a new tool promising to transform your business, automate your workload, or replace hours of manual effort. It’s exciting — but it can also be overwhelming. The reality is that many organisations aren’t struggling because they lack AI. They’re struggling because their underlying processes are inefficient.
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