Intelligent Billing Automation

Zero-touch surcharge management with orchestrator pattern -- $120K+ annual revenue protection

1,940%

First-Year ROI

Error Rate (was 15%)

35 hrs

Monthly Time Saved

$153K

Annual Value

Automation Financial Services

The Challenge

A financial services company processed hundreds of invoices monthly with a manual surcharge workflow. Billing staff checked every customer's autopay status and manually added surcharge line items. This produced 15% error rates, revenue leakage, and 35 hours of wasted time per month.

The Solution: Orchestrator Pattern

I designed an extensible User Event script using the orchestrator pattern. Each billing action (surcharge calculation, customer sync, PDF generation) is an independent handler with an explicit execution order.

Invoice Created

Auto-Apply Surcharges

Accurate Billing

Design Principles

Without Orchestrator

Monolithic script with all logic intertwined
Adding new actions requires modifying core code
Execution order fragile and implicit
Testing requires loading entire system

With Orchestrator

Each action is independent module
New actions added without touching core
Explicit order property on each handler
Actions testable in isolation

Value Delivered

Revenue Protection

100% surcharge capture accuracy (up from 85%)
$8,000/month in previously-missed surcharges recovered
System gaming loophole closed ($2,000/month saved)
Error-related write-offs eliminated ($12,000/year saved)

Operational Efficiency

35 hours/month of manual work eliminated
Processing capacity tripled (300 to 900+ invoices/month)
Month-end processing time reduced by 60%
Customer complaints dropped 80%

Technologies Used

SuiteScript 2.1 User Event Script Orchestrator Pattern Lazy Module Loading N/record (Dynamic Mode) N/search Deployment Parameters Base Class Inheritance

Explore the Source Code

The Extensible handler pipeline with lazy module loading for User Event scripts from this project is available as an anonymized, reusable reference implementation with tests.

View on GitHub