FRONT OFFICE AI FOR SPORTS & LIVE EVENTS — THE COMPARISON
Venues and clubs are sold one of two models: fan-engagement software your box office operates, or AI agents a professional-services team builds for each property and channel. No logos needed, because the same packaging habits dominate the market. Front Office was built on three different principles — and every answer to a fan comes from your approved venue information only; safety concerns and refund exceptions go to a person.
Try it free 7 days on your own business · no credit card · per company, never per seat
REAL AI - the whole Front Office is AI, not old software with an AI button. Give it your website: it learns your company, works from your approved knowledge and gets better with every answer you approve.
Live on this site right now — the assistant in the corner is the product · Award-winning AI — CES · ISE · TMCnet

One dashboard doing the jobs the others only track.
Across most of the market, every hire raises the software bill — the price follows your headcount, not the work getting done.
Credits, "AI actions", per-conversation fees, usage tiers. On many platforms the AI arrives as a second bill on top of the seats.
Enrich, draft, score, summarize, coach — designed to make YOUR people faster. Newer autonomous agents go further, but are typically configured per channel and priced per usage.
Fourteen venue jobs, three delivery models. The difference isn’t whether a capability exists somewhere — it’s what you must assemble, license and operate to get it. Descriptions reflect typical published product models, Aug 2026.
| The job | Traditional CRM model | Agent & copilot platforms | Zanus Front Office |
|---|---|---|---|
| Answer the fan-services line 24/7 | Your box office answers, with a fan-engagement suite and a phone system | Configure a voice agent, channels and usage separately | ✓ Built in — doors, will-call, transfers and policies, 40 languages, on-sale morning and event night included |
| Answer “can I bring a bag?” | A page the fan must find, or a staff callback | A venue FAQ agent built per property by a services team | ✓ Grounded in your approved policy pages, on every channel; no source, no claim |
| Work the group or suite inquiry | Routed to an account executive’s queue for a callback | Scored and handed to a person | ✓ Answered in minutes: date, size and budget taken, proposal sent, tour offered |
| Send the group or suite proposal | A separate document module your reps operate | Agent invokes processes you configure | ✓ Native: from your approved rate sheet, one-click acceptance, polite follow-up until the buyer decides |
| Book the suite tour | Scheduling links and a calendar your reps maintain | Agent invokes calendar actions you connect | ✓ Booked inside the conversation — right executive, dark days only, calendars synced |
| Call back the on-sale hang-ups | Nobody has time on on-sale morning | Possible if you build the workflow | ✓ Automatic: every abandoned call is called back with your greeting once the queue clears |
| Run season-ticket renewals | Campaign templates your staff trigger; the same script for everyone | AI drafts; sending policies vary | ✓ Sequences by segment — family, business, longtime holder — stopped the moment the holder replies |
| Handle lost & found, barcodes, accessibility requests | Usually a separate service product and seats; often a voicemail box | Support agents configured separately | ✓ Filed complete and routed — guest services, box office, access desk — the fan kept informed, event nights too |
| Send know-before-you-go | A marketing blast your staff schedule | AI-recommended content, sent by your team | ✓ Sent the day before: doors, bag policy, parking, the weather statement — fewer prohibited items at the gate |
| Brief the ticketing director | Dashboards you open and read | A to-do list for your reps | ✓ A did-it-for-you list: overnight fan calls handled, renewals at risk, the three people needing you |
| Train seasonal event-day staff | Shadowing and a binder before the first home date | Not the product’s job | ✓ Role-play on your own policies and seating map, plus a team assistant on the concourse |
| Keep safety and refund exceptions with a person | Depends on who picks up | Escalation rules you define; best effort | ✓ Your protocol: safety concerns transferred at once, refund exceptions filed for your box-office manager, every time |
| Call your fans before they call you | Reminder calls made by staff when there is time; otherwise a text | Build an outbound flow, connect telephony, meter the minutes | ✓ Auto-Call: an event, a funnel or a list triggers the call; the AI announces or converses, on your rules — Hi Jake, this is Riverfront Arena: your tickets for Saturday are in your account, and doors open at 6. |
| The bill | Per seat; grows with every hire and every seasonal desk | Per seat and/or per usage: credits, actions, conversations | ✓ One plan, chosen by outcome — your fans are never counted or charged |
Because the comparison is about the model, not the logo. Software your box office operates plus metered AI built per property is the norm across the market; naming brands adds nothing. If you are evaluating a specific product, ask the chat — it compares us to any vendor you name, point by point, from their published pages.
Every description of other models comes from typical published product pages and fan stories, read August 2026, and describes what a venue must assemble, license and have built to get the job done. Where a vendor differs, the chat will show you.
No. Your ticketing system stays the record of seats, barcodes and payments; the Front Office is the system of work in front of it. Calendars sync natively; Connectors, webhooks and a read-only API feed what you authorize back to ticketing, CRM and venue management.
Give it your website. It learns your company. Then call it, chat with it, e-mail it — and decide. Nothing to install, nothing to cancel.
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Comparisons on this page reflect publicly available product and pricing information, verified Aug 30, 2026. Trademark notice in the footer below.