Which event tasks are worth using AI for?

🌟 Noah's Note

In 2026, I’m still hearing the same thing from event professionals:

"I know AI can help me. I just don't know where to start."

It's the right question. And honestly, "just try stuff and see what sticks" isn't always great advice — it leads to frustration, wasted time on tasks AI handles poorly, and missed opportunities to save you hours.

That's why I built the AI Readiness Check GPT, and why I just gave it a meaningful update.

🤖 GPT of the Week: AI Readiness Check GPT (Updated)

THE PROBLEM: With hundreds of tasks across your workflow — RFPs, rooming lists, stakeholder updates, post-event surveys, content creation — knowing where AI actually earns its keep (versus where it wastes your time) requires testing you don't have bandwidth for.

THE SOLUTION: The AI Readiness Check GPT does that mapping for you. Tell it about your event types, team size, and biggest time drains. It scores your tasks against the framework I've been refining for the past year and hands you a prioritized roadmap — what to automate now, what to approach carefully, and what to leave alone.

Here's what a real output looks like. A corporate planner on a 3-person team running 15–20 internal events per year describes her biggest time drains: stakeholder update emails and post-event survey analysis. The GPT comes back:

"Stakeholder communications: 9/10. Based on 4 hours weekly, this is your highest-priority opportunity — expected savings of 3+ hours with a simple AI drafting habit. Post-event survey analysis: 9/10. Upload your export directly to ChatGPT or Claude and ask for themes, year-over-year patterns, and an executive summary. Combined, these two changes could give you back a full workday every week."

That's the difference between generic AI advice and something mapped to your actual workflow.

The framework behind it — including what changed in this latest update — is captured below.

Three zones, with every event task falling somewhere on this map. The GPT figures out where you land.

What's new in this version: Sharper output, clearer implementation steps, more realistic time savings estimates, and better flagging of tasks sitting in the Hybrid zone that are close enough to the line to be worth testing now. Also updated in accordance with newest model outputs.

It’s free, and takes about five minutes to get your scoring.

Till next time,

Noah Cheyer

Do More With Less Using AI

PS: What's the task in your workflow that you most wish AI could handle? Reply and tell me — if enough people name the same thing, it goes straight into the next framework update.