AI for Events
and Venues
The UK runs 1.08 million conferences a year, a £6.7bn live music economy, and a grassroots circuit that lost 25 venues in 2024. Martyn's Law lands properly in April 2027. We build the AI loops that move ticket revenue, door flow and operating cost. No chatbot quoting refund policies you can't honour.
£61.6bn
UK EVENTS INDUSTRY VALUE (BVEP 2024)
810
MUSIC VENUES ALLIANCE MEMBERS (MVT 2024)
Apr 2027
MARTYN'S LAW EARLIEST ENFORCEMENT
Most "AI for events" is a chatbot on a ticket page.
It answers ten questions about parking, gets the eleventh wrong about a refund, and the BC Civil Resolution Tribunal has already decided what happens next. Moffatt v. Air Canada (2024 BCCRT 149) held the airline liable for what its chatbot said. Your bot is your contract too.
The AI that pays back in this sector sits behind the ticket page. Scoring which of the 38,000 registrants will actually show up. Opening gate four before the queue at gate three triples. Turning a 95,000-delegate conference into one worth flying to.
Quieter than a chatbot. Moves the yield number instead.
WHAT'S BEEN PITCHED
- FAQ bot that invents refund terms
- "Smart" pricing nobody can defend at the queue
- Facial recognition with no DPIA
- Networking app nobody opens after lunch
- Post-event email blast the ICO has views on
WHAT ACTUALLY WORKS
- Answers grounded in your ticketing system
- Pricing tiers labelled, queue text honest
- Biometrics behind a DPIA and an opt-out
- Matchmaking on real session data, not vibes
- PECR-clean follow-ups your DPO has signed
Five loops worth building. The rest is theatre.
Arenas, conference centres, festivals, theatres, exhibition halls. Different shapes of the same problem: fixed capacity, a moving demand curve, a date that doesn't slip. The loops that pay back close those gaps.
Ticketing & dynamic pricing
Demand forecasting wired into Spektrix, Tessitura, AXS, DICE, See Tickets or Ticketmaster. Tier labels honest, queue text accurate, every price move logged. The CMA's September 2025 Ticketmaster undertakings made the rules clear. We hold to them.
No-show & drop-off
Free conferences typically run at a 40 to 60% no-show rate. We score every registrant, send the right nudge at the right hour, and only ask for a deposit or a held card on the bookings that need one. The room fills.
Crowd & entry flow
Computer vision on the queues you already film, predicting the bottleneck twenty minutes before stewards see it. Door, bar and toilet flow. Useful on day one, mandatory once Martyn's Law enforcement starts.
Attendee matchmaking
For conferences and exhibitions, the killer feature is the meeting that pays for the ticket. We rank delegates and exhibitors against each other, surface the right introductions, and feed it back into Cvent, Hubilo, Bizzabo or Swoogo.
Post-event intelligence
Sessions transcribed, themes clustered, sponsor ROI quantified, next year's programme drafted before the marquee comes down. Survey response that doesn't depend on a 4% open rate.
UK venues have rules. AI doesn't get a pass.
It's tempting to plug ChatGPT into the box office, point a camera at the door, and run a clever discount script the week before. Each of those, done without care, walks into a regulator we can name today.
We build to the rules already applying to your venue and your door. The AI doesn't get to invent its own.
Royal Assent April 2025. Live by 2027.
The Terrorism (Protection of Premises) Act 2025 covers any premises or event expecting 200 to 799 people (standard tier) or 800 plus (enhanced tier). The SIA gets at least 24 months to set up. Anything we build that watches doors, queues or capacity is designed to feed your public protection procedures, not replace them.
Faceprints are special category data.
The ICO's March 2024 biometric data guidance treats facial recognition and voiceprints as Article 9 data from the moment of capture. Any FRT at a door needs a DPIA, an Article 9 lawful basis, signage that actually works, and a non-biometric alternative. We design the consent flow with you, not after launch.
Oasis. Ticketmaster. Undertakings.
In September 2025 the CMA secured formal undertakings from Ticketmaster following its Oasis investigation: drop misleading "Platinum" labels with no extra benefit, give 24-hour notice of tiered pricing, and show full price ranges in the queue. Any pricing model we build labels the tier, logs the move and shows the range. Two years of regulator monitoring is enough.
Air Canada lost. So will you.
Moffatt v. Air Canada (2024 BCCRT 149) ruled the airline liable for what its chatbot promised about a bereavement fare. Every refund, accessibility, transfer and cancellation answer we give is grounded in your ticketing record. If the system can't be sure, it says so and gets a human, with the source attached.
Don't end up like HelloFresh.
In January 2024 the ICO fined HelloFresh £140,000 for 79 million spam emails and a million spam texts. Bundled consent, data reused for 24 months after cancellation. Any AI-drafted post-event sequence we build respects soft opt-in, named purposes, and an unsubscribe that actually works.
DPIA before the camera goes up.
Crowd analytics, automated stewarding, attendee matchmaking, biometric entry. All of these meet the ICO's "likely high risk" threshold and need a DPIA on file before launch. We write it with you, not three weeks after a complaint.
Where we come in.
We're not an events SaaS. We build the AI layer that sits on top of the ticketing, CRM, registration and venue systems you already pay for, pick the one or two loops that pay back first, and launch them.
First loop live for one show or one site, then rolled across the season, the estate or the event series. No twelve-month transformation programme, no rip-and-replace of Spektrix or Cvent.
BOOK A CALLOne-event audit
We pick a single show, conference or venue. Two days in your operation: ticketing platform, registration data, last year's no-show rate, the door logs, the inbox the customer team is drowning in. Out the other end: the three loops with the biggest payback, named and priced.
Launch the first loop
Usually no-show reduction or post-event intelligence, because both pay back inside one event cycle and neither touches the door. Live, and the team uses it. You see the recovered seats and the survey response rate.
Add the guardrails
DPIA, source-of-truth grounding for the chatbot, pricing transparency rules, Martyn's Law-aligned escalation paths, the logs your DPO and the ICO would ask for. The bit most vendors skip and the bit that lets you sleep before a 60,000-capacity weekend.
Roll across the season
Same loop, every show, every site, every leg of the tour, with the local quirks honoured. New venues onboarded in days, not months. Optional retainer if you want us building the next loops alongside your team.
It's already running. Look closely.
The big operators have been quietly running these loops for two years. Three you can verify, not a vendor brochure.
10m monthly users, then acquired.
London-founded DICE was named in Fast Company's Most Innovative Companies 2024 list, reporting over 10 million monthly active users. Acquired by Fever in June 2025. AI-driven personalisation and waiting-list mechanics ran underneath, not on the marketing page.
Drones, RFID, crowd analytics.
Large UK festivals like Glastonbury run drones for crowd-density monitoring, RFID wristbands for access control and computer-vision analytics for bottleneck detection. Nothing on the website about it. That's how you know it's working.
And how not to do dynamic.
The CMA's March 2025 progress update on Oasis ticketing found no algorithmic pricing had been used, but criticised opaque tier labelling. In September 2025 Ticketmaster gave formal undertakings: drop misleading "Platinum" labels, give 24h notice of tiered pricing, show full price ranges in the queue. Two years of regulator monitoring followed. Don't be the next one.
Sources: BVEP UK Events Report 2024; UK Music This Is Music 2024; Music Venue Trust Annual Report 2024; Home Office Martyn's Law factsheet, April 2025; ICO Biometric Recognition Guidance, March 2024; CMA undertakings on Ticketmaster, September 2025; Moffatt v. Air Canada 2024 BCCRT 149; ICO HelloFresh fine, January 2024; Fast Company Most Innovative Companies 2024; Fever acquisition of DICE, June 2025.
The ones organisers ask first.
We're on Spektrix / Tessitura / Cvent. Do you replace it?
No. Spektrix runs roughly 59% of identified UK performing-arts ticketing. Tessitura and Cvent are excellent at what they do. We sit on top, pull the data the AI needs, write back the decisions it makes, and stay out of the parts your team already trusts.
Martyn's Law isn't enforced yet. Why care now?
Royal Assent was April 2025. The 24-month set-up gives you to roughly April 2027. Anyone building crowd or door analytics now should already align with the standard or enhanced tier procedures so the regulator's first audit isn't a panic. We design with the framework in mind from day one.
Can we use facial recognition for fast entry?
Yes, carefully. The ICO's March 2024 biometric guidance treats faceprints as Article 9 special category data. That needs a DPIA, an explicit lawful basis, signage that actually informs, and a non-biometric alternative at the same speed. We design the flow so the regulator's questions have answers before they're asked.
How do you stop a chatbot promising a refund we won't honour?
Every answer that could become a contract, refunds, accessibility, transfers, gate times, comes from your ticketing record and the venue's published terms. The model rephrases, it doesn't invent. If the source is missing or unclear, the bot says so and a human takes it. Moffatt v. Air Canada made that an expensive question to get wrong.
We run free conferences. Half don't show. Can the AI fix it?
A lot of it. Free events run at a 40 to 60% no-show rate by industry rule of thumb. We score every registrant on engagement signals, send the right nudge at the right hour, ask for a deposit or a held card only where the model thinks it'll matter, and run a waitlist that actually clears. Typical first-event lift on attendance is 10 to 20 percentage points.
We're a single venue, not a group. Is this for us?
Yes, with caveats. A single-venue no-show loop, post-event intelligence and a grounded chatbot pay back inside a season for most independents. Estate-wide dynamic pricing and crowd analytics only really make sense above three or four venues, or one large festival.
How much does it cost?
One-event audit is fixed-fee. First loop live for a single show or venue is priced per phase before we start. Season or estate roll-out is priced per site and the unit cost falls quickly after the first three. No retainers you can't cancel.
Pick the loop. We'll build it.
Thirty minutes. Tell us the venue, the ticketing platform, and what hurts most about the next event. You'll come away with a clear answer on which loop to build first, and whether you need us at all.