AI is quickly becoming part of everyday life and can be a useful tool when it comes to event delivery. Using AI as a team can help with productivity but the difference between teams who use it well and those who don’t is simple:

They don’t treat it like a tool, they treat it like a colleague.

That shift changes how useful it becomes.

 

Start with the right mindset

AI works best when it’s part of your process, not a shortcut around it. Instead of using it to “do the task”, use it to shape your thinking, challenge your approach and improve what you’ve already created.

Because the reality is:

Vague input = generic output

Clear, structured input = useful output

The quality of what you get back is driven by how you brief it, and this is where the information you feed it is key.

 

Use it as a thinking partner

AI is incredibly useful at the early stages of planning, not to replace ideas, but to expand them. Like most event agencies, the creativity is the fun part, sense checking and testing is the tricky bit, this is where using AI comes in.

 

Where it works well:

    • Stress-testing event concepts
    • Exploring different angles for content or formats
    • Generating options quickly

 

For example:

“What perspectives are we missing for this programme?”

“Challenge this event concept, what wouldn’t land?”

AI is particularly strong when you need volume and variation on ideas, rethinking or reframing your original ideas.

 

Using it as a review tool (this is where the real value sits)

Where we’re seeing the most value in event delivery is not creation, but review. AI is a fast, objective second pair of eyes.

 

Practical use cases:

Exhibitor manuals

What would a first-time exhibitor find unclear?

What questions are still unanswered?

Where are the gaps?

Speaker management

What should I cover in a briefing call?

What have I missed?

What risks should I prepare for?

We’ve already seen this internally when discussing using AI to extract highlights from webinar recordings, reducing manual note-taking and speeding up follow-up comms.

 

Treat it as a second pair of eyes, not the final voice

AI is strong at drafting, structuring and simplifying. It helps teams move faster and avoid starting from a blank page but it still needs human judgement, context and most importantly final sign-off. The strongest outputs come from combining both. However as always there are positives and risk to be aware of.

 

The positives (when used well)

    • Faster first drafts and admin tasks
    • Improved structure and consistency
    • Better idea exploration
    • More efficient workflows and planning
    • Always-on support for teams

 

The risks to be aware of

    • Content can feel generic or repetitive
    • Accuracy and tone still need reviewing
    • Over-reliance can reduce critical thinking
    • It can remove the most engaging parts of the work if used incorrectly, don’t give AI the things you like to do.

 

AI speeds things up but it shouldn’t replace experience, creativity or the joy of the job you like to do.

 

The takeaway: you get out what you put in

The most effective teams aren’t asking AI to do their job. They’re using it to think more clearly, work more efficiently and review their work more critically and testing processes. AI won’t fix a weak idea, but it will help you develop a strong one faster.

 

Final thought

If you treat AI like a task machine, you’ll get average output. If you treat it like a colleague, one you brief properly, challenge, and collaborate with you’ll get far more value from it.