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You already know your calendar is full.
What you might not have counted is the hours living between the calendar items, the ones that never make it onto a project plan because they don’t feel like real work.
A speaker emails asking how to submit their bio. You reply. They follow up with AV requirements. You chase their session confirmation three days later.
Multiply that by twenty speakers. Add your exhibitors running the same playbook. Then factor in the registration confirmations you’re manually reviewing before every event.
None of it required your judgment, but all of it required your time.
This is where most event planners are bleeding hours. And the cost goes beyond time; it’s the energy you don’t have left for the work that actually matters.
So, how are the planners who scale hundreds of events dealing with this problem?
Well, it’s two things: the right use of event tech, coupled with AI. When these two work together, all those repetitive tasks are taken care of. This issue breaks it down.
There’s no shortage of tools promising to fix your workload. But the ones that actually deliver do two very different things, and understanding the difference is what makes them useful.
There’s a new AI tool launching every other day, promising to take everything off your plate.
While it may not be as simple as it sounds (it never is, though), AI tools can help take the load off if you have the right systems in place.
Here’s a realistic breakdown of what that can look like:
Not everything on your plate is a creation problem.
A big chunk of it is operational: the manual work of building, running, and reviewing every event, and then templatizing it so the next one takes less effort. That’s not AI’s job. That’s what event tech is built for.
Here’s what it handles across the full event lifecycle:
When your event tech already has AI built in, you stop switching between tools because everything lives in one place. The AI works from your actual event data, which means it’s already in context and ready to go. Here’s what that looks like with vFairs:
One platform, both problems solved.
Here’s the full picture of what each one handles, and where they come together.
Knowing which tasks to hand to AI is one thing. But, actually making it work is another.
Noah Cheyer, Co-Founder of Speak About AI, joined us for our podcast to talk about this.
He believes most planners are failing because they’re going too broad too fast, which means they end up with five subscriptions they barely touch instead of one tool they’ve actually gotten good at.
Start with your most painful repeatable task rather than the most impressive use case.
And when you do find a tool that works, treat it as a first-draft partner rather than a decision-maker — it gets you to 50-70% faster, but you’re still the one bringing it home.
Here are some reads that clarify how AI and event tech can streamline your everyday tasks.
The tasks that don’t need you shouldn’t have you. Hope this issue helps you find a few more hours where you least expected them.
See you next month.
Fiza Fatima
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