How event production companies can use AI without embarrassing themselves
AI is useful in a production company when it can see your real gear, dates and clients, and a person approves anything a client will read. Bolted on by itself, it guesses.
Devon Race
3 min read
Event production companies get the most from AI by connecting it to the systems they already use, so it works from their real inventory, calendar and CRM, and by starting with repetitive writing and data entry: first replies to inquiries, intake questions, follow-up drafts, job summaries and filing notes on the right record. A person approves anything a client will see. AI that can’t see your business guesses, and a guess in front of a client costs more than the time it saved.
I build these setups for production and rental companies, with the same rule every time: AI drafts, people decide.
Why does bolted-on AI disappoint?
A general AI tool doesn’t know you’re out of LED panels that weekend, that the venue has a dock height problem or that this client always needs a COI. So its replies are generic, or confidently wrong. The fix isn’t a better prompt. It’s giving the AI read access to the same information your team uses, and writing what it produces back to the place your team already looks.
Where should a production company start?
- Website intake: an assistant that asks for the date, venue, headcount and what they need, then files a complete lead in your CRM.
- First replies: a draft that answers with the next question a project manager would ask, ready to send in minutes.
- Quote follow-ups: drafts in your voice, timed to the quote, that stop when the client replies.
- Job summaries: the call notes, emails and changes on a job turned into a short brief for the warehouse and crew.
- Data entry: details pulled out of an email or a planner’s spec sheet and filed on the right record.
What should AI never do on its own?
- Quote a price or promise availability.
- Send anything to a client without a person approving it, until you’ve watched it get the routine messages right.
- Change a booking, a hold or an invoice.
- Pretend to be a person. It should say it’s an assistant if asked.
What does connecting AI to your systems involve?
It depends on what your tools can share. Many rental platforms and CRMs have an API, which lets an AI assistant read availability, jobs and contacts and write notes or drafts back. Where a tool can’t share, the work is the same as any integration: decide which tool owns the record, connect what you can and keep a person on the rest. How to connect your rental software, CRM and accounting covers that part.
How do you keep it safe in front of clients?
Write the rules down before anything goes live: what it can answer, what it must hand to a person, the tone it writes in and the words it never uses. Start with drafts a person sends, review a sample every week and widen what it does only after it earns it. The website lead capture demo shows an intake assistant working inside those limits, and the automatic follow-up demo shows what happens after the lead lands. AI and automation is how I set this up for production companies.
Common questions
- Can AI quote event production jobs?
- It can help draft a quote from your rate tables and inventory, but a person should check and send it. Never let AI quote prices or promise availability to a client on its own.
- Does AI need to connect to our rental software?
- For anything beyond generic writing, yes. Connected to your rental software, calendar and CRM, it works from your real gear, dates and clients instead of guessing.
- Will clients know they’re talking to AI?
- They should. A website assistant should say it’s an assistant, and anything sent in your name should be approved by a person on your team.