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WOTC Tax Credit Suite

$200K+ revenue generated in 2024

A complete ecosystem for Work Opportunity Tax Credit processing. From federal forms to AI extraction to audio verification.

The Numbers

$200K+

Revenue 2024

7

Languages

86

CSV columns

<60s

Verification time

The Problem

Industry Standard (Before)

• Manual phone calls to state agencies
• $5K per applicant verification
• 45+ minutes per call
• Paper forms that got lost
• Applicants who didn't understand questions
• Each wrong checkbox = $5,000 lost
"The bottleneck wasn't the code. It was human comprehension. Applicants weren't clicking 'No' because they weren't eligible. They were clicking 'No' because they didn't understand the question."

The Solution

Three production systems working together:

1. Audio WOTC Verification

Built in 1 week. Solo. $200K+ generated.

GitHub →

Audio-guided self-service form. Every instruction read out loud. Simple Yes/No buttons. Mobile-friendly. Under 60 seconds to complete.

Before

$5K/applicant

After

~$0.10/applicant

Time

45min → <1min

2. Digital IRS Form 8850

7 languages · Touch signatures · Real-time validation

GitHub →

Complete digitization of IRS Form 8850. Multi-step flow with conditional logic. Accessibility-first design. Works on mobile.

Languages: English · Spanish · French · Haitian Creole · Korean · Russian · Chinese

3. Enterprise Tax Credit Platform

AI extraction · PostGIS · Multi-tenant

GitHub →

Full processing platform. Gmail API monitoring → PDF extraction → OpenAI data extraction → PostGIS geographic eligibility → 86-column CSV export for federal reporting.

The Pipeline

Gmail API Watch → Email Processing → AI Extraction → PostGIS Queries → Dashboard → CSV Export
       ↓                  ↓                 ↓                ↓               ↓            ↓
 Auto-fetch         Parse PDFs        86 fields         EZ/TEZ zones      Kanban      Federal
   emails          attachments        extracted          verified          view       compliance

Tech Stack

Frontend

Next.js 14, React 18, TypeScript, Tailwind, shadcn/ui, TanStack Table

Backend

Supabase, PostgreSQL 15, PostGIS, Row-Level Security

AI

OpenAI GPT-4 for document extraction, confidence scoring

Integrations

Gmail API, Google Cloud Storage, Vercel, Railway

Geographic Intelligence

PostGIS Spatial Queries

-- Check if address is in Empowerment Zone
SELECT COUNT(*) > 0 as is_ez
FROM empowerment_zones ez
WHERE ST_Contains(
  ez.geometry,
  ST_SetSRID(ST_MakePoint(longitude, latitude), 4326)
);
<50ms eligibility queries
• 10,000+ EZ/TEZ polygons
• 3,143 U.S. counties
• Address normalization + geocoding

Business Impact

90% reduction

in manual data entry time

95%+ accuracy

vs 70% manual error rate

$50-100/app

cost savings vs manual

5x faster

application turnaround

The Insight

"Simple > Smart. No AI, no fancy extraction. Just audio + big buttons. The key insight: applicants weren't clicking 'No' because they weren't eligible—they were clicking 'No' because they didn't understand the question."
"$5K per wrong answer changes how you think about forms. Every input field is a potential failure point."

Use Cases

Payroll Services

Process WOTC for client employees

Staffing Agencies

High-volume applicant screening

HR Departments

Internal tax credit capture

Tax Credit Consultants

Multi-client service bureau

Audio Verification → · Digital 8850 → · Enterprise Platform →