Entertainment Resource logo

How Entertainment

Resource unified

2,500+ live events.

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.

IndustryLive Entertainment
Scale2,500+ performances/yr
ClientsHard Rock, Ritz-Carlton
Elegant Live Event

String Quartet Booked

The Ritz-Carlton • Oct 12, 7PM

3

Integrated experiences unified under one platform

2

Native mobile apps shipped on iOS and Android

200+

Performers managed in a single system of record

0

External tools needed for chat, contracts, and intake

The Context

A world-class agency running on spreadsheets

Entertainment Resource team planning live events
Bookings in inboxes
Contracts by hand
Event chats scattered

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

Industry Pain Point

The same problem is holding back the talent booking industry

Manual booking work spread across documents and laptops
Searching across tools

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.

How Lucents Forward-Deployed the Solution

We did not start with a feature list. We started inside the operation.

01

Observe operations

Sit inside the real booking flow

02

Map workflows

Turn handoffs into clear states

03

Design platform logic

Shape data, roles, and automations

04

Ship working product

Release useful platform increments

05

Collect feedback

Validate with ER's daily operators

06

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

The Approach

One platform, three experiences, engineered to be AI-ready

Phase 01

Foundation sprint

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.

Phase 02

Platform delivery

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.

Phase 03

AI-ready by design

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.

Platform Architecture & Tech Stack

Built as a scalable operating platform, not a one-off booking tool

ER's platform connects client, agency, performer, automation, and AI workflows on one structured technical foundation.

Client Portal
Agency Portal
Performer App

Core layer

Unified platform data layer

Events, clients, performers, contracts, conversations, tasks, and AI context.

Automations

AI workflows

Technical foundation

Hosting

Vercel

Fast deployment and global delivery

Application

NextJS

Web platform and API surface

Database

Neon Postgres

Relational system of record

Data Storage

Cloudflare R2

Object storage for platform files

Lucents operating layer

Forward Deploy Workflow

Observe, ship, validate, and iterate inside the operation

Unified Operating Schema

Shared data model for events, talent, clients, contracts, and AI context

AI Integration Blueprint

Roadmap from clean operations to audit, tasking, and matching use cases

Deliverables

What Lucents built for ER

Agency Portal

ER's internal team now has a command center for bookings, client context, performer records, event status, tasks, feedback, and access control.

  • Visual calendar & scheduling
  • Role-based access control
  • Event lifecycle management
Agency Dashboard
Client Portal

Client Portal

Venues and brands get a self-serve portal for booking requests, event details, history, communication, and feedback without long email threads.

  • Self-serve booking requests
  • Centralized communication
  • Historical event tracking

Performer Mobile App

Native iOS and Android apps give performers a fast way to accept gigs, sync availability, receive updates, and manage event communication.

  • One-tap gig acceptance
  • Real-time push notifications
  • Availability syncing
Performer Mobile App

Built-in Automations

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.

  • Docusign e-sign flow
  • Conditional intake forms
  • Event-linked chat and bulk offers

AI-ready Architecture

Events
Performers
Clients
Conversations

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.

  • Unified operational schema
  • Structured context for AI
  • Roadmap for audit, tasks, and matching

ER Transformation

From daily operational pressure to a platform built for growth

01

Before Lucents

ER had the talent network and demand, but the operating layer depended on manual coordination across disconnected tools.

02

Lucents forward deploys

Lucents mapped the real workflow, shipped platform increments, tested with operators, and converted daily friction into product logic.

03

After the platform

ER now has cleaner operations, structured data, integrated user experiences, and a technical foundation for AI-enabled scale.

Start with a foundation that can actually scale.

One conversation to see how Lucents can turn fragmented operations into scalable platforms with structured data, automation, and AI readiness.