Beyond the Slop: AI in the Non-Profit Sector

In this episode of Beyond the Slop, Craig and Anna discuss the use of AI in various applications, including voice AI for call triage, email response bots, and chatbots. They also explore the ethical considerations and potential risks associated with the rapid advancement of AI technology.

The episode covers the use of AI in charity work, including personalized thank-you pages, AI-generated voice messages, and the impact of AI on grant applications. It also delves into the emergence of agentic AI and the potential risks associated with it. Takeaways Personalized thank-you pages and AI-generated voice messages can enhance the supporter experience. The use of AI in grant applications has democratized the process, but also raises concerns about the quality and differentiation of applications.

Craig Linton and Anna Hessenbruch on what they've been building: charity dashboards from publicly available data, an email bot with a human still in the loop, and voice AI that translates in real time. Then the bigger question of what AI agents mean for entry-level jobs, and an Oops AI Did It Again about AI-generated charity appeals and what they do to public trust. 00:00 Welcome, and what's coming up 00:56 Building charity dashboards from publicly available data 02:11 The free UK government API catalogue 03:43 The national fish population database, and a pun Anna immediately regrets 04:34 Craig's first email response bot, and why a human still checks every reply 05:34 Voice-to-voice translation in about 90 languages, and where it still trips up 06:41 Disclosing you're talking to a bot, and why bots earned their bad reputation 07:38 When AI can't understand a Yorkshire accent 08:15 AI agents you can delegate to, and why IT teams get nervous 11:05 What agents doing junior admin work mean for the jobs pipeline 12:12 Oops AI Did It Again: AI-generated charity appeals and the trust problem 13:59 Why giving is drifting from institutions to individual faces online 18:12 Regulation, and not throwing the baby out with the bathwater 18:48 Coming up: the big AI debate Mentioned in this episode UK government API Catalogue. The public sector API directory Craig recommends, covering DWP, DVLA, the Office for National Statistics, the British Geological Survey and more: api.gov.uk . Each API carries its own licensing and access terms, so check before you build. The AI GP receptionist that struggles with Yorkshire accents. Craig said on air he'd dig this out for the show notes. Healthwatch Rotherham raised concerns that EMMA, an AI phone receptionist used by GP surgeries, could not reliably understand broad Yorkshire accents or speech affected by an impediment, with some patients giving up and walking in instead: Silicon UK . It was GP surgeries rather than a council. Make. The automation platform Craig and Anna both use: make.com . Its AI agents were announced in April 2025 , and its plain-English building assistant is called Maia. There is a generous free non-profit plan. The Lily Jay Foundation investigation. ABC News Verify in Australia reported finding AI-generated elements in charity videos posted by influencer Lily Jay, and could not verify the orphanage in Uganda: ABC News Verify . The foundation has since responded, saying AI appeared only in a small number of introductory clips and denying that it fabricated projects or aid deliveries: The New Arab .

Craig & Anna go back to basics. What's the difference between the AI companies, the tools you type into, and the models underneath? What is a token? 00:00 Welcome 01:40 What we've been building: Anna's holiday vibe coding and a homemade family planner app 04:34 Craig's fundraising brain: 20 years of articles, talks and his own book, made searchable 09:17 Back to basics: companies, interfaces and models 10:06 The chef who read every cookbook but never tasted food 11:44 Why the model matters, and the exponential curve in expert hours 14:04 The otter test & Will Smith eating spaghetti 15:13 Tokens, context windows, and why five Harry Potter books is a useful yardstick 16:48 What are your tokens actually costing you? Nobody quite knows 19:14 Full disclosure: we're AI enthusiasts, but we're not blind to the problems 19:53 Oops AI Did It Again: Deloitte and KPMG get caught not checking their AI 21:44 The new EU AI Act rules: watermarking, manipulation and the social scoring ban 24:44 Why the sector's GDPR overcorrection is the thing to avoid 26:58 Meet the AI vegan 28:28 What's coming next: AI ethics and charity AI policies Mentioned in this episode Ethan Mollick's "otter on a plane using wifi" test. Mollick's own account of how a silly prompt became his benchmark for AI image progress: The recent history of AI in 32 otters . The "Will Smith eating spaghetti" test. How a broken 2023 clip became the informal yardstick for AI video: Wikipedia , and TechCrunch on the odd AI benchmarks that took off . Deloitte Australia's AI-generated report. Deloitte partially refunded a A$440,000 report after fabricated references and a made-up court quote were found: Associated Press coverage . The refund was later reported at about A$97,000: CFO Dive . KPMG's withdrawn agentic AI report. "Redefining excellence in the age of agentic AI" was pulled after numerous the case studies were found to be invented: International Accounting Bulletin , Storyboard18 . Obsidian , the note-linking app Craig recreated the idea of with Claude: obsidian.md . Get in touch: beyondtheslop@gmail.com , or find Craig Linton and Anna Hessenbruch on LinkedIn.

Craig Linton and Anna Hessenbruch introduce Beyond the Slop, a podcast about AI for charity and fundraising people. They explain how they met through supporter experience work, why the show is named after AI slop rather than the fails, and what the regular segments will be. If you have been told to hurry up with AI and to be careful with AI in the same week, this is the show for you. 00:00 Who we are, and why two fundraisers started an AI podcast 01:22 How Craig and Anna met, and the supporter experience thread that led here 02:45 Why data and CRMs have always been the barrier, and what changes now 03:12 A data project that took six months and tens of thousands of pounds, rebuilt in half a day 04:11 What "slop" actually means, and why the show is named after it 06:14 Why writing tasks are only a small slice of what AI does 07:10 Oops AI Did It Again: the professor, the invisible text, and the random fact about Malaysia 08:31 The real tension: hurry up with AI, but don't you dare get it wrong 09:21 The Britney drinking game, and where the show nearly got its name 11:13 The regular segments: what we're building, the AI news that matters, and tools we actually use 15:08 Coming up: AI ethics, choosing use cases, and a plain-English guide to the different AI models 16:41 Next up: Craig and Anna debate whether AI is a force for good or a destructive menace