Hand AI the event planning tasks that are frequent, text-heavy and quick to check first: supplier enquiry emails, turning call notes into action lists, comparing quotes, first drafts of run sheets, and guest communications. Keep final budget numbers, contracts, supplier choice and on-the-day decisions with you until those first tasks are running reliably.
The ordering rule is about the cost of a mistake, not about what AI can attempt. A wrong word in a draft supplier email costs nothing, because you read it before sending. A wrong figure in a signed budget or a missed cancellation clause in a venue contract can cost the event. Planners who start with the impressive tasks, such as AI-generated budgets or venue sourcing, tend to spend their saved time fixing errors instead.
A scoring grid for your own task list
Every planner's week is different, so before taking anyone's list (including this one), score your own tasks. Write down everything you did in the last two weeks, then give each task 1 to 3 points on four questions:
- Hours a month: 3 = more than five hours, 2 = one to five, 1 = under an hour.
- Checkable quickly: 3 = you can check the output in under five minutes, 1 = checking takes as long as doing it.
- Cheap if wrong: 3 = a mistake is caught before anyone outside sees it, 1 = a mistake costs money or a relationship.
- Inputs exist: 3 = everything the AI needs is already written down, 1 = it's mostly in your head.
Anything scoring 10 or more out of 12 is a strong first candidate. Anything scoring 6 or less should wait, however clever the demo looked.
Twelve event planning tasks, scored
These scores are for an illustrative two-person events business running corporate away-days, product launches and a few private parties, about four events a month. Use them as a comparison, not an answer.
| Task | Hours/month | Checkable | Cheap if wrong | Inputs exist | Total |
|---|---|---|---|---|---|
| Supplier enquiry emails | 3 | 3 | 3 | 3 | 12 |
| Call and meeting notes into action lists | 3 | 3 | 3 | 2 | 11 |
| Comparing supplier quotes | 2 | 3 | 3 | 3 | 11 |
| First draft of the run sheet | 3 | 2 | 3 | 2 | 10 |
| Guest emails (save the date, joining instructions) | 2 | 3 | 2 | 3 | 10 |
| Post-event feedback summary | 1 | 3 | 3 | 3 | 10 |
| Proposal first drafts | 3 | 2 | 2 | 2 | 9 |
| Venue shortlisting research | 2 | 1 | 2 | 1 | 6 |
| Budget building | 2 | 1 | 1 | 2 | 6 |
| Contract review | 1 | 1 | 1 | 3 | 6 |
| Choosing suppliers | 2 | 1 | 1 | 1 | 5 |
| On-the-day problem solving | 2 | 1 | 1 | 1 | 5 |
The pattern holds for most planners: the top of the list is correspondence and summarising, the bottom is judgement and money.
The first five to hand over, with examples
1. Supplier enquiry emails
For every event you send near-identical enquiries to caterers, AV companies, photographers, furniture hire and transport. Each takes ten minutes to write well; the information is already in your event brief. Give the assistant the brief and a list of suppliers, and ask for one email per supplier covering only what that supplier needs to quote.
From the event brief below, write a short quote request for each
supplier type listed. Include only the details that supplier needs.
Ask for: availability, a quote with what's included, deposit and
cancellation terms, and a reply by [date]. Friendly, businesslike,
under 150 words each. Don't invent any detail not in the brief.
Brief: product launch, 120 guests, weekday evening 6-10pm,
city-centre venue already booked (load-in from 2pm, lift access
to 1st floor), standing reception with bowl food, two short
speeches, one product demo on screen.
Suppliers: caterer, AV, photographer.An illustrative AV email from the output:
Subject: Quote request - product launch, 120 guests, [date]
Hello, we're organising a product launch for 120 guests on
[date], 6-10pm, at a city-centre venue (first floor, lift access,
load-in from 2pm). We need a PA for two short speeches with two
handheld mics, a screen and projector for a product demo, and
a technician on site throughout. Could you let us know your
availability, a quote with what's included, and your deposit and
cancellation terms by [date]? Many thanks, [name]Good, with one fix: "two handheld mics" and "technician on site throughout" weren't in the brief. The model inferred them sensibly, but an inference in a quote request becomes a line on the invoice. Either confirm them or delete them. Across four suppliers, this task typically drops from about 40 minutes per event to 10, including checking.
2. Call and meeting notes into action lists
Client calls produce a mess of decisions, maybes and "I'll check with my boss". An AI meeting recorder or a transcript pasted into an assistant turns that into a clean list of decisions, open questions and who owes what. Otter.ai's Pro plan is about $8.33 per user a month on annual billing ($16.99 month to month); the meeting tools in Google Workspace and Microsoft 365 can do similar work if your plan includes them. Always tell the client you're recording, and ask first.
The before and after is the clearest way to see the value. Your scribbled notes after a call:
client team 80 maybe 90. wants outdoor if weather ok, otherwise marquee?? budget "around 25 but flexible". vegan options - how many. they'll confirm date Fri. Check if venue allows drones (CEO keen). parking for coach.
The assistant's version, from the transcript:
DECISIONS: Outdoor reception preferred; wet-weather plan required.
OPEN QUESTIONS (client): Final numbers (80-90) - by Fri.
Event date - confirming Fri. Number of vegan guests.
OPEN QUESTIONS (us): Does the venue permit drone filming?
Coach parking at the venue? Marquee cost as wet-weather option.
BUDGET: Client said "around $25,000, flexible". Treat as guide
only until confirmed in writing.Check one thing every time: that budget figures and dates in the summary match what was actually said. Transcription occasionally mishears numbers, and "fifteen" and "fifty" sound alike on a bad line. The wider method is in turning meeting notes into tasks automatically.
3. Comparing supplier quotes
Quotes arrive in different formats, with different things included, and the cheapest-looking one is often the most expensive once extras are added. Paste or upload three quotes and ask for a like-for-like table: what's included, what's extra, deposit, cancellation terms, and total for your event. A realistic mistake shows why you still read the originals: in one illustrative case, three furniture hire quotes came back as $2,150, $2,400 and $1,780. The assistant ranked the third cheapest. Reading the quote, the $1,780 was for delivery only, with collection charged separately the next day at $520, making it the most expensive. The assistant had read the figure correctly but missed a line on page two. Ask it to list "anything charged separately or conditionally" for each quote, and it usually catches these. More on the method in comparing supplier quotes side by side with AI.
4. First draft of the run sheet
A run sheet (the minute-by-minute plan for the day) is mostly assembled from things already agreed: supplier arrival times, the client's agenda, venue access. AI turns those into a first draft quickly. An illustrative excerpt, drafted from the launch brief above:
14:00 Venue access. AV load-in via goods lift (AV lead + 2).
15:30 Caterer arrives, kitchen set-up.
16:30 AV tech check: mics, demo laptop, screen.
17:15 Photographer arrives, briefed on shot list.
17:30 Client walk-through and speech rehearsal.
18:00 Doors open. Bowl food service begins 18:30.
19:15 Speech 1 (5 min), Speech 2 (5 min), demo (10 min).
21:45 Last orders. 22:00 guests depart. 22:00-23:30 get-out.Read it against every supplier's confirmed times, and walk it through in your head. Here, the photographer arrives at 17:15, but the client may want shots of the room before guests arrive at 18:00, which is tight. AI assembles the order; it doesn't picture the room. Building budgets and run sheets with AI covers the run sheet in more depth.
5. Guest communications
Save-the-dates, joining instructions, dietary forms and "know before you go" emails follow a pattern and are easy to check. Give the assistant the facts and one past email you liked. What this looks like at a corporate away-day: the planner sends a joining email to 60 staff with travel options, dress code, agenda and a dietary form link, then a reminder three days before. The AI drafts both from the event brief in minutes, and the planner checks times, addresses and links. The failure to watch for is stale information: an agenda that changed after the draft, or a coach time copied from last year's event. Put the date the facts were confirmed at the top of your brief, and regenerate the email if anything changes.
Tasks to hand over next, once the first five run well
These four score a little lower, usually because the output takes longer to check or the inputs need tidying first. Each is still worth doing once the first five are routine.
Post-event feedback summaries
Paste the survey responses (names removed) and ask for the main themes, the three most common complaints, and any comment that mentions a specific supplier. An illustrative output from 64 responses after a company away-day: "Most positive: the venue grounds (mentioned 22 times) and the afternoon workshop (15). Most common complaints: the coach left 25 minutes late (11 mentions), lunch queue (9), room too warm after 3pm (6). Supplier mentions: caterer praised for vegetarian options (5); one complaint about cold coffee." That becomes a one-page note for the client and a to-do list for the next event: the coach company gets a call, the caterer gets a thank-you. Check the counts roughly against the raw responses; models sometimes round "several" up into a number.
Proposal first drafts
Once you have two or three past proposals to use as models, AI can turn a brief into a structured first draft: the concept, the day in outline, what's included and the next steps. The realistic mistake is invented inclusions. A draft for a summer party promised "complimentary welcome drinks on arrival" because a past proposal used as the model included them for a different client. It would have become a cost the planner absorbed. Tell the assistant to list every inclusion it wrote and where it came from, and check each against the brief. Writing event proposals with AI covers the full method.
Venue shortlisting research
An assistant with web search can produce a longlist of venues matching capacity, style and budget far faster than browsing listings. The trap is that venue pages and directories carry old figures. In one typical case, a shortlist gave a barn venue's capacity as 200 seated, from a directory page several years old; the venue had since reduced it to 150 after a licensing review. Treat every AI shortlist as a list of names to call, and ask it to give the source page for each capacity and price so you know what to verify.
Social posts about past events
With the client's permission to share, AI turns your photos and a few notes into captions for Instagram or LinkedIn. Before, a planner's caption might be "Great night at the launch last week! Thanks to everyone involved." After giving the assistant the facts and asking it to credit suppliers: "120 guests, one product reveal and a room full of bowl food from our favourite caterer. Thanks to the AV team who rebuilt the demo set-up in 20 minutes when the client's laptop wouldn't connect." Specific details are what make other clients picture you running their event. Check that every supplier named is happy to be tagged.
What this looks like for a wedding planner
The same grid gives a different order for a planner working mainly on weddings. Guest communications move up, because couples ask for dietary forms, travel notes and timelines for 100-plus guests. Supplier enquiry emails stay near the top. Run sheets matter more, and they're longer, so the first-draft saving is bigger. Budget work drops even lower on the list: wedding budgets are emotional as well as numerical, and a figure that's wrong in front of a couple and their parents does more damage than a corporate one. The full sequence for weddings is in the further reading below.
Tasks to keep, even though AI will attempt them
Final budget numbers
An assistant will happily build a budget, and the structure it produces can be a useful checklist of cost lines you might forget. But chat models still make arithmetic slips, sometimes adding a row twice or dropping a subtotal, and they can't know this year's prices from your suppliers. In one realistic case, an AI-built budget summed 18 lines to $41,300 when the correct total was $43,100: two digits transposed in the total, on a document the client would sign. Build the numbers in a spreadsheet with formulas, and use AI only to review it for missing cost lines. Why AI is bad at maths explains why this keeps happening.
Contracts and cancellation terms
AI can summarise a venue contract and flag clauses worth reading closely, and that's genuinely useful for a first pass. It shouldn't be the last reader. Attrition clauses (what you pay if numbers fall), cancellation scales and liability terms need a person, and for large or unusual contracts, a qualified adviser.
Choosing suppliers
Which caterer can handle 300 covers in a venue with a tiny kitchen, which AV company answers the phone at 11pm: this knowledge comes from experience and relationships. AI can organise the options; it shouldn't choose.
Accessibility and safety planning
A draft risk assessment or accessibility checklist from AI is a starting point, but the site visit, the fire exits, step-free routes and the stewarding plan are your responsibility and must be checked in person.
On-the-day decisions and difficult conversations
When the keynote speaker's train is cancelled or the client is unhappy with the room, you need judgement and calm, not a draft. Use AI afterwards to write the follow-up email, not during the moment. For example, after a launch where the demo screen failed for ten minutes, give the assistant the facts (what failed, how long, what you did, what the AV company has said since) and ask for a short, factual note to the client that apologises once, explains without blaming, and says what changes next time. The first draft will usually over-apologise; cut it to one apology and one concrete change, such as a backup laptop tested at the rehearsal.
Keeping client and guest data out of trouble
Event work involves guest lists, dietary and medical notes, and sometimes passport details for travel. Use a business plan (such as ChatGPT Business, Claude Team or the AI in your Workspace or Microsoft 365 account) for anything containing guest data, since those don't train on your content by default. On a personal plan, switch off model training in the privacy settings. Never paste medical or passport details into a prompt; the AI doesn't need them to draft a joining email. And if a client's contract restricts how you process their staff's data, check it before uploading a guest list anywhere.
Measuring the time you actually get back
Before switching anything on, keep a simple log for two weeks: task, event, minutes spent. Then introduce the first two tasks from the list and log the same way for another two weeks, including checking time.
Here is how the numbers came out for the illustrative two-person business above. Supplier enquiries fell from roughly 40 minutes per event to 10; call notes from about 25 minutes per call to 5, across roughly 12 calls a month; quote comparisons from 30 minutes per event to 10. At four events a month that is about 2 hours saved on enquiries, 4 hours on notes and 1.3 hours on quotes: a little over 7 hours a month between two people, before touching run sheets or guest emails. Those are illustrative figures, and the only ones that count are yours, which is why the log matters.
If a task doesn't save time after a month, look first at the input. Most failures trace back to a brief that was vague or out of date, not to the AI. If the input is fine and the task still doesn't save time, drop it and move to the next one on your scored list. For more on the tools that suit small event businesses, see the best AI tools for small event planning businesses.
Automating the handovers between tasks
Once the first tasks work as copy-and-paste prompts, the next saving is removing the copying. A new enquiry form submission can create a brief in your planning tool and draft the supplier emails automatically using an automation platform such as Zapier. Zapier's paid plans start at $19.99 a month billed annually for 750 tasks, and it counts each successful action step as a task. Keep a person approving anything that leaves the building. Automating the draft saves the typing; automating the send is where mistakes reach clients.
Further reads
- How Caterers Use AI to Quote Events and Plan Menus — The caterer's side of the same events.
- A Wedding Planner's AI Workflow From Enquiry to Final Timeline — A full enquiry-to-timeline workflow for weddings.
- When Not to Use AI in Your Business: 9 Tasks to Keep Human — The general list of jobs to keep human.
- How to Measure Time Saved After Rolling Out AI in a Small Firm — A fuller method for measuring time saved.
- AI Call Summaries: Log Every Phone Enquiry in Your CRM — Log every client and supplier call automatically.
- What Should a Small Business Automate First With AI? — The same question for any small business.
- AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.
Sources: Otter.ai pricing page; OpenAI, Anthropic and Google plan pages; Zapier pricing and task-counting help pages.