Industry · Entertainment & Live Events
Every fan, one profile.Every on-sale, handled.
Fan comms, SMS, support
Surge deflection, fan intent
Unified fan profile
System of record
The Problem
You sell to millions of fansand know almost none of them.
Your fan lives in six systems and none of them agree.
Ticketmaster or AXS holds the purchase. Shopify holds the merch order. The app holds the session. Social holds the engagement. Nobody holds the fan, so every campaign targets a fragment of a person.
On-sale day breaks a team sized for Tuesday.
Service volume spikes 50x to 100x in the first hour of an on-sale and again on event day. Staffing is flat. The queue becomes the experience, and the refund and transfer questions that pile up are the same ten questions every time.
Sponsorship runs on a spreadsheet and hope.
Renewal dates, activation inventory, and partner deliverables live in a workbook one person maintains. Meanwhile the months between events go quiet and the fan relationship you paid to acquire cools off before the next announce.
Dual Deployment Paths
Salesforce or not.We deploy Claude either way.
Ticketing platforms and commerce stacks vary widely in this industry. The agent layer does not have to wait for a CRM migration.
Native: inside Salesforce
Agentforce on top of a Data Cloud fan profile. The right call when Salesforce already holds your CRM, your marketing, or your service desk and the agent needs to act on that record.
Standalone: on AWS Bedrock or direct API
Claude deployed against your ticketing and commerce APIs when Salesforce is not the system of record yet. Same fan outcomes, and the migration path stays open.
Use Cases
Agentic patternsbuilt for the event calendar.
On-Sale Surge Deflection Agent
Refunds, transfers, accessibility seating, entry policy, and where-is-my-ticket resolved in the channel the fan already opened. The agent absorbs the first-hour spike so your team works the exceptions instead of the queue.
Stack · Agentforce or Claude + Service Cloud + Vonage
Fan 360 on Data Cloud
Ticketing, merch, app sessions, streaming, and social resolved into one profile with one identity per fan. Segments stop being channel guesses and start being the actual person who bought floor seats twice and a hoodie once.
Stack · Data Cloud + Snowflake + ticketing APIs
Tour and Venue Ops Coordination
Show-day settlement questions, staffing changes, vendor check-ins, and venue-specific policy answers handled by an agent that knows the run of show. Fewer radio calls to the one person who has the whole picture in their head.
Stack · Salesforce + Claude + Slack
Sponsorship Renewal Pipeline
Partnership inventory, activation deliverables, and renewal dates in Sales Cloud instead of a workbook. Agents flag under-delivered activations before the renewal conversation, not after.
Stack · Sales Cloud + Agentforce
Membership and Loyalty Lifecycle
Presale access, member tiers, and win-back journeys running through the dark period between events. The fan hears from you between announces because the lifecycle is automated, not because someone remembered.
Stack · Marketing Cloud + Loyalty Management
Post-Event Feedback and Recovery
Survey responses and service complaints classified and routed in minutes. A fan whose night went wrong gets a real recovery offer while the memory is fresh, not a form letter three weeks later.
Stack · Data Cloud + Claude + Marketing Cloud
The Engagement Model
Build, Operate, Transfer.Timed to your on-sale calendar.
Build
Agents and the fan data foundation in 6 to 10 weeks. We scope backward from your next announce so the work lands before the traffic does.
Operate
Monthly Agent Performance Audits with real numbers: contacts deflected on on-sale day, response time held under load, revenue influenced between events.
Transfer
Full ownership handoff when your team is ready. Your ops group runs the agents in-house. No retainer trap, no vendor lock-in.
What to Expect
No fake stats.Honest commitments.
Maple is in the first wave of agentic AI engagements. Entertainment and live events is a new vertical for Maple. The architecture is proven across regulated, high-volume service environments, and the first engagements here are being scoped now.Published case studies are coming — meanwhile, here's exactly what every engagement commits to from day one.
Commitment 01
Time to first production agent
We architect and deploy your AI workforce in weeks, not months — with weekly milestone reviews you can hold us to.
Commitment 02
Agent Performance Audits
We optimize prompts, reasoning engines, and data triggers every month — and report exactly what work each agent did.
Commitment 03
Vendor lock-in
Every engagement ends with full ownership transferred to your team. We earn the next engagement, never the retainer trap.
Case studies in progress · Be one of our first
We Also Serve
Sports teams and venues
Season ticket lifecycle, group sales, and matchday service. The same surge pattern as a concert on-sale, running on a schedule you already know a year out.
Media and streaming brands
Subscriber retention and content-driven engagement on the same fan profile. Useful when the live business and the media business share an audience but not a database.