Catching Up AI Confidence for Charity Leaders

Catching Up: AI Confidence for Charity Leaders by Odette Hutchinson
English | July 2, 2026 | ASIN: B0H38ZHTSL | 54 pages | EPUB | 1.72 Mb
You're not behind with AI. You've just been too busy delivering services and securing funding. If you are leading a charity where demand is rising faster than funding, and your time is consumed by reports, board papers and funder updates, this practical, one-hour guide is for you.
Catching Up: AI Confidence for Charity Leaders is designed for CEOs, trustees and senior leaders who want to use AI in a safe, ethical and genuinely practical way - not as a gimmick, but as a tool to reduce workload and strengthen decision-making.
No technical background required. No hype. No assumption that your charity has a technology team or a digital strategy.
What's inside
Seven short chapters, each with a practical exercise built around real charity leadership tasks. Most readers can work through it in under an hour.
Why AI matters for charities right now - and why the governance gap carries legal risk
What generative AI is, explained in plain English
The difference between search and AI tools, and when to use each
A five-part prompting framework for getting consistently useful outputs
Ten practical applications across core leadership functions - from funding applications and board papers to case studies, donor communications and strategic planning
A clear, responsible approach to AI use in a charity context: safeguarding, data protection, transparency with funders and the November 2025 Charity Governance Code update
Who it's for
Charity CEOs, senior managers, programme directors, heads of fundraising and communications, and the trustees who oversee them - particularly those working in resource-constrained organisations where every hour saved matters.
The research behind it
This edition draws on the 2025 Charity Digital Skills Report, the Charity Commission's Trust in Charities research, BCG's AI at Work findings and the November 2025 Charity Governance Code refresh - all fully attributed.
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