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🚀 Check-in: Updates from the group
- Capacity & training: Teams are focusing on practical training, especially around Microsoft Copilot and prompt writing. Some have begun deeper, use-case-led learning (e.g. fundraising, HR, CRM), but capacity is a real constraint.
- Ethical principles: Several orgs are developing internal principles and playbooks. A common approach is to treat AI as augmented intelligence - a tool to enhance, not replace, human work.
- AI tools: Common tools include Otter AI, Fathom, Teams AI Notetaker and ChatGPT. Examples of how Fathom + ChatGPT are often used together were shared - manual transcription followed by AI-supported summarisation.
- Data & process challenges: Teams are wrestling with messy data and legacy systems. A recurring theme: AI won't fix broken processes - it just gets to the wrong result faster.
- Experimentation culture: There's a growing emphasis on lightweight, values-led experimentation, with the goal of building confidence and trust.
🛠️ Show & Tell Highlights
Street Support Network
Presented by: Matt Lambert, CEO, Street Support Network
Topic: Embedding AI while staying human-centred
Recording:
https://www.loom.com/share/5c35b2375420469d8bc180d5b13da8ae?sid=6b50c4c9-d358-472e-a479-cb56e90bbd3d
Summary:
Matt shared a values-led, low-cost approach to using AI in a small charity. Rather than jumping straight into tech, the team began with a brand review and identity audit, then used AI (mainly ChatGPT and custom GPTs) to support tasks like:
- Drafting brand, comms and fundraising materials
- Refining tone of voice and language across platforms
- Developing a ‘Human AI Writing Assistant’ GPT to help outputs feel natural