How can events agencies use AI?
Mostly on the work around the event: proposals, research, briefing documents, delegate messages and reports. People still run the event itself.
Where AI helps most
Events are won and delivered by people: the producer who reads the room, the account lead the client trusts. AI does not replace that. What it can do is take time out of the heavy preparation and paperwork around every event, so the team has more capacity for the parts clients notice.
Before the event
Proposals and pitches: First drafts of responses, built from your past proposals and the client brief, for a person to shape and finish.
Venue and supplier research: Initial longlists and comparison tables against a brief. Check every detail with the venue, because AI tools can get facts wrong.
Creative starting points: Theme ideas, session formats and naming options to react to. The team still chooses and develops them.
Briefing documents: Drafts of running orders, staff briefings and supplier instructions from your planning notes.
Budgets: Checking a budget sheet for gaps, duplicated lines or formulas that do not add up.
During and after
Delegate communications: Drafts of joining instructions, reminders and answers to common questions, in a consistent tone.
Meeting notes: Summaries and action lists from planning calls and site visits.
Post-event reports: Pulling themes out of feedback forms and turning figures into a clear first draft for the client.
Debriefs: Organising lessons learned so they inform the next brief instead of sitting in a folder.
Where to take care
Delegate data: Registration lists often include dietary and access needs, which can reveal health information. Keep personal data out of AI tools unless you have checked the tool, the terms and your client agreement.
Client confidentiality: Unannounced launches, guest lists and commercial terms need the same care. See how agencies protect client confidentiality when using AI.
Freelancers: Events rely on freelance crews and producers, who bring their own tools. Your rules need to cover them too.
Live decisions: On the day, judgement belongs to experienced people. Do not rely on unchecked AI output for anything affecting safety, timings or what goes on screen.
Images and video: AI-generated visuals raise questions about rights and disclosure. See whether it is safe to use AI-generated images in client work.
Where to start
Choose one or two tasks that happen on every job and take real time, such as proposals or post-event reports. Agree which tools the team may use, try them on a few events and compare the time taken with before.
The busy season is a poor moment to change how people work, so plan this for a quieter period. Go Wisely works with UK events agencies on exactly this, and the approach is set out on the AI for Events Agencies page.
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