AI for Events
and Venues
Event and venue groups handle high enquiry volumes, changing project information and commercial decisions across sales and delivery. We build around those operational systems, with staff approval on prices, availability and safety-sensitive answers.
Record the booking
Assign the work
Share live changes
Everyone works from the latest event plan.
£61.6bn
UK EVENTS INDUSTRY VALUE (BVEP 2024)
810
MUSIC VENUES ALLIANCE MEMBERS (MVT 2024)
Spring 2027
EXPECTED START, DATE NOT CONFIRMED
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 shown why that matters. Moffatt v. Air Canada (2024 BCCRT 149) held the airline liable for inaccurate chatbot information. It is a fact-specific decision, but a useful warning for any operator putting a bot in front of customers.
The AI that pays back in this sector sits behind the ticket page. Scoring which of the 38,000 registrants will show up. Opening gate four before the queue at gate three triples. Turning a 95,000-delegate conference into one worth flying to.
Those systems sit behind the ticket page and have a direct effect on yield, queues and repeat attendance.
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 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
Event workflows worth automating
Arenas, conference centres, festivals, theatres and exhibition halls all work with fixed capacity, changing demand and a date that cannot move. These workflows focus on revenue, attendance and safe entry.
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 or lower-risk counting tools can help staff spot queue and entry problems earlier. Martyn's Law may make that information useful, but it does not require computer vision or any other named technology.
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.
Rules that apply to AI in UK venues
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.
Expected from spring 2027.
The Terrorism (Protection of Premises) Act 2025 requires proportionate public-protection procedures and, for enhanced-tier premises and qualifying events, reasonably practicable measures. The duties are not yet in force and the exact start date will be set separately. Technology may support the work, but the Act does not prescribe it.
Faceprints are special category data.
Facial recognition and voice recognition need a clear purpose and data assessment. Biometric data used to identify someone uniquely is special category data, and high-risk door or crowd processing may require a DPIA. Your DPO or legal adviser confirms the lawful basis, transparency and any non-biometric route.
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.
Chatbot promises can bind the operator
Moffatt v. Air Canada (2024 BCCRT 149) held the airline liable for inaccurate chatbot information about a bereavement fare. It does not make every chatbot statement a contract, but it shows why refund, accessibility, transfer and cancellation answers need current sources and a human route.
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 works.
Assess the privacy risk first.
A DPIA is required where processing is likely to create a high risk to people. Biometric recognition is highly likely to meet that threshold. Other crowd analytics, stewarding and matchmaking systems need to be assessed from their actual data and use.
How we start
We connect a defined workflow to the ticketing, CRM, registration and venue systems already in use. The first project is chosen against booking value, staff time, customer risk and available data.
We prove one workflow on a representative event or site and connect to the existing booking or project systems before proposing wider use.
BOOK AN OPERATIONS REVIEWOne-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
No-show reduction or post-event analysis can be a useful first workflow where the event has enough volume. We agree the baseline and measure recovered attendance, response rate or staff time before extending it.
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
We prove the common workflow on representative events or venues, document local exceptions and agree any wider rollout with commercial, operations and technology owners.
What larger event operators are using
Ticketing and event businesses have published several years of results from these systems. Here are three useful examples.
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.
Digbeth Events and Leo Associates are public examples
Digbeth uses connected operations reporting and a venue assistant. Leo Associates runs exhibition projects, supplier records, finance and early stand concepts through one platform.
When this is worth discussing
We work best when there is a real operating problem, enough volume to measure and people from the affected teams who can make decisions.
Usually a good fit
- An established UK business, usually with annual revenue above £10m
- A repeated process with a known cost, delay, error rate or capacity problem
- A senior sponsor and a day-to-day owner who understand the work
- Access to the relevant staff, systems, sample records and security requirements
We may point you elsewhere
- A standard product already covers the process well
- The requirement is a one-off small build with no wider operating case
- There is no owner or access to the people and data needed to test the result
- The plan relies on AI making high-impact decisions with nobody responsible for review
Questions the buying team will ask
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?
The substantive duties are not yet in force. The SIA says the Act is expected to start in spring 2027, but Parliament will set the exact date. We can still design procedures, records and any supporting systems against the published framework now.
Can we use facial recognition for fast entry?
Possibly, but it needs a clear purpose and evidence that the approach is necessary and proportionate. Biometric data used to identify a person uniquely is special category data, so you need an Article 6 lawful basis, an Article 9 condition and usually a DPIA. A practical non-biometric route may also be sensible, but there is no blanket law saying it must operate at the same speed.
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?
Potentially a lot, but the baseline varies by event. We score registrants on agreed engagement signals, test reminders and waitlist rules, then compare attendance with a relevant previous event or control group. The proposal sets the measure before we promise a result.
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?
A one-event audit is fixed-fee. The proposal separates the first workflow, any later season or estate rollout, third-party charges and optional support, so finance can see which costs repeat at each event or venue.
Talk to us about your next event season
Tell us the venues, booking or project systems and the process creating the most delay or missed revenue. We will identify a first workflow that can be tested against a live event cycle.