21:I[27201,["/_next/static/chunks/b4470d30869a355e.js?dpl=dpl_FNDBw1p26FNTqT86r3bDefUwtcHb","/_next/static/chunks/d2be314c3ece3fbe.js?dpl=dpl_FNDBw1p26FNTqT86r3bDefUwtcHb"],"IconMark"] 19:T464,

Hi Alex,

Thanks for completing the assessment — your report surfaced some genuinely useful direction, and I want to make sure the most important piece doesn't get lost.

Your top recommendation: replace your manual tracking processes with automated alternatives. This is the highest-leverage move available to you right now. Manual tracking quietly eats the time you could be putting toward grant writing and data analysis — two areas you specifically flagged as priorities.

Here's one concrete action you can take today: open whatever spreadsheet or doc you use most for tracking and write down every step it takes to update it. Just mapping it — ten minutes — usually reveals two or three steps that could be handed off to automation immediately.

You're already using ChatGPT, Copilot, and Canva AI, which means you have real tools to work with. The opportunity isn't about adding more software — it's about connecting what you already have.

More on that in a few days. For now, just do the audit.

Kevin
AI Whisperer
Park City Community Foundation

1a:T492,

Hi Alex,

You flagged grant writing as a priority, and it's one of the fastest areas where I see nonprofit teams reclaim meaningful time with AI.

Here's a pattern that's working well right now: organizations are using ChatGPT to eliminate the blank-page problem. They feed it a brief summary of the program, a few bullet points of outcomes, and examples from past successful grants — then prompt it to produce a first draft in their voice. First-draft time drops from several hours to under thirty minutes.

Given that you're already using ChatGPT occasionally, this isn't a big leap. It's more of a structured approach to something you're already touching.

The key detail from your report: this works even better once your tracking and data workflows are cleaner. When your numbers and notes are organized, the AI has better raw material to work with.

Curious how this might fit your specific grant process? Check out the AI at Work podcast — there are practical episodes on exactly this kind of use case.

Kevin
AI Whisperer
Park City Community Foundation

1b:T5c1,