One platform built for AI, replacing years of manual workflows with a three-sided ecosystem.
Built for how ER works today. Ready for what AI unlocks tomorrow.
String Quartet Booked
The Ritz-Carlton • Oct 12, 7PM
Integrated experiences unified under one platform
Native mobile apps shipped on iOS and Android
Performers managed in a single system of record
External tools needed for chat, contracts, and intake
Entertainment Resource curates 2,500+ live performances a year for brands like Hard Rock, Ritz-Carlton, and The W Fort Lauderdale.
Behind the scenes, bookings, contracts, intake forms, performer messages, and client access were spread across disconnected tools.
The business had the demand and talent network to scale. It needed a platform layer with clean data, fewer manual handoffs, and a foundation ready for AI.
2,500+ performances
Coordinated every year
200+ performers
Managed across events
Manual handoffs
Across intake, contracts, and chats
Requests
Buried in email threads
Availability
Known by one team member
Contracts
Tracked in another tool
The pressure ER felt is common across talent booking: high-touch relationships running on low-visibility systems.
Requests sit in email, availability lives in memory, contract status hides in another tool, and every client update requires searching across systems.
More events should create leverage. Without a structured operating platform, they create more coordination load.
Lucents rebuilt the workflow as a system of record, giving ER speed today and structured data for AI tomorrow.
Observe operations
Sit inside the real booking flow
Map workflows
Turn handoffs into clear states
Design platform logic
Shape data, roles, and automations
Ship working product
Release useful platform increments
Collect feedback
Validate with ER's daily operators
Iterate
Tune the system until it fits the operation
Lucents worked inside ER's real operating rhythm, then converted workflow friction into product logic, data structure, and automation.
Outcome
A platform that matches daily operations
We embedded with the ER team to map how events actually flow through the business. That discovery shaped a three-sided architecture: one system, three tailored experiences, with a single source of truth underneath.
In Phase 1, we shipped the full ER Platform: an Agency Portal, a Client Portal, and a native performer app. Docusign integration, dynamic intake forms, and bulk gig offers replaced the manual workflows.
Every event, conversation, and contract now lives in one structured system. On top of this foundation, we are rolling out a Phase 2 AI roadmap: AI Audit, AI Task Allocation, and AI Performer Matching.
ER's platform connects client, agency, performer, automation, and AI workflows on one structured technical foundation.
Core layer
Unified platform data layer
Events, clients, performers, contracts, conversations, tasks, and AI context.
Automations
AI workflows
Technical foundation
Hosting
Fast deployment and global delivery
Application
Web platform and API surface
Database
Relational system of record
Data Storage
Object storage for platform files
Lucents operating layer
Observe, ship, validate, and iterate inside the operation
Shared data model for events, talent, clients, contracts, and AI context
Roadmap from clean operations to audit, tasking, and matching use cases
ER's internal team now has a command center for bookings, client context, performer records, event status, tasks, feedback, and access control.


Venues and brands get a self-serve portal for booking requests, event details, history, communication, and feedback without long email threads.
Native iOS and Android apps give performers a fast way to accept gigs, sync availability, receive updates, and manage event communication.

Contracts
Intake
Chat
Gig offers
One connected workflow
Every action stays linked to the right client, performer, and event.
Contracts, intake, event chats, and bulk gig offers now run inside the platform, keeping every action tied to the right client, performer, and event.
Unified schema
Structured context for every AI feature
AI Audit
Task Allocation
Performer Matching
Events, performers, clients, contracts, conversations, tasks, and feedback now live in a structured system that can support AI audit, task allocation, and performer matching.
ER had the talent network and demand, but the operating layer depended on manual coordination across disconnected tools.
Lucents mapped the real workflow, shipped platform increments, tested with operators, and converted daily friction into product logic.
ER now has cleaner operations, structured data, integrated user experiences, and a technical foundation for AI-enabled scale.
One conversation to see how Lucents can turn fragmented operations into scalable platforms with structured data, automation, and AI readiness.