AI for SMEs: Luke Chaffey’s playbook to automate and drive ROI | Ep 255 | DevReady Podcast

·32 min·2 clips

Luke says clients save eight hours by turning repeatable tax reporting into an AI draft.

1. DevReady Podcast Ep 255 centers on AI for SMEs, with Luke Chaffey discussing how smaller businesses can use AI and automation. 2. Luke Chaffey is Managing Director of AIWise, and Anthony hosts the conversation because he wants practical examples for businesses that do not know where to start. 3. The episode asks what AI is actually for in SMEs, and Luke frames the answer as strategy, road maps, implementation, training, and automation. 4. Luke says he started in web development 15 years ago, then moved through IT, a web agency, and a seven-year run with KBV Digital. 5. He says KBV Digital was created with David Koch from Sunrise, and he explains that his father built the relationship through forums and TV digital-expert work. 6. Luke says he was recognized as a digital expert and produced over 400 articles across roughly four or five years, alongside his day job. 7. He says that writing improved the marketing side of his work because technical people can be too focused on facts and too closed in. 8. Luke describes early AI and augmented reality work that placed a printer in a phone camera view and used AI trained on that product to answer sales questions. 9. He says early prototypes used OpenAI 3.5 Turbo plus a product database to retrieve relevant answers for users. 10. Luke also mentions an older internal prototype with a robot, a phone scan, and a hologram map projected from the robot’s face. 11. One of his main points is that the market changes quickly, and he says the list on “AI for that” reached 400 to 500 tools before he could no longer keep up. 12. He says he now tests tools like ChatGPT, Cursor, and Lovable against each other to see which one produces the best result. 13. Luke says many businesses need automation before AI, because in 2023 some were still using pen, paper, sticky notes, and Excel. 14. He says his work now often combines automation platforms such as Make and n8n with Python, depending on whether the client wants visual control or code. 15. He gives a Make example where iterating blog sections required a Google Spreadsheet workaround because the platform did not have a global variable. 16. Luke says n8n feels easier for developers because it supports control flows, variables, switches, and loops more naturally. 17. He says the biggest mistake is treating AI as a tool only for large companies, and he argues that users should give it context instead of using it like a search query. 18. He also says AI can lie, so he checks outputs with other people and with second-model verification when the domain is unfamiliar. 19. The tone is practical and technical, with Anthony pushing for examples and Luke answering in a workshop-style interview. 20. People building SME automation, AI prototypes, or workflow tools will get the most value, while listeners looking for abstract AI theory may skip it.

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