AI is now part of the grant-writing landscape, and funders are well aware of it.
Some funders are already publishing guidance on how AI tools may be used and where they can help, as well as where AI tools risk weakening an application. For associations, this matters not only from a credibility perspective, but also because grants can be a useful way to diversify income in an increasingly pressured funding environment.
Greg Tracz, association expert and Director of Diabetes Africa, will be presenting this seminar, showing you a behind-the-scenes look at what grant writing with AI actually looks like in practice. The seminar will cover not only how applications are written, but why outcomes are shaped by many factors beyond the text itself.
Greg will give examples of real applications, including successful six-figure awards, as well as bids that did not succeed.
The seminar will explore how associations can use AI within the grant-writing process at a time when funding is more competitive, staff capacity is limited, and funders are increasingly clear about their expectations of AI-assisted applications.
Grants can be an important way to diversify income, but only when they are approached with clarity and credibility. By focusing on how AI fits into the full grant-writing process, rather than treating it as a shortcut, associations can strengthen applications, work more efficiently with limited resources, and make better decisions about which opportunities to pursue.
Greg will offer practical judgement informed by experience, together with views on how associations can improve their approach over time.
Topics covered
1. Understanding the funding landscape
Where funders really are on AI, what they already know, and how published guidance is shaping expectations of applicants. This segment will also look at how AI can support early grant scanning and prioritisation, helping associations focus on opportunities that are a realistic fit.
2. Shaping the application before writing begins
How AI can support early thinking, sense-checking and structuring once a potential grant is identified, and why clarity of purpose, fit with the funder, partners and budgets matter long before any drafting starts.
3. Writing, editing and tool choice
What grant writing with AI actually looks like during drafting and editing, including which tools to use for different tasks, their strengths and limitations, and practical do’s and don’ts to ensure AI-supported drafting strengthens, rather than undermines, the quality and credibility of the application.
4. The human skills that determine outcomes
The judgement and skills that make AI useful rather than harmful, including editing, maintaining coherence and voice, working effectively as a team of one or many, and understanding why writing quality alone does not determine funding decisions.
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