# Progress Billing Verification for Banks

*/Opportunities/Progress_Billing_Verification_for_Banks*

## Opportunity Overview

**Wedge**: Start with private debt funds financing middle-market multifamily construction, as they face fewer regulatory hurdles than chartered banks and suffer from high operational bottlenecks. Win this niche by automating the math verification on AIA forms and matching lien waivers to previous payouts. Expand outward by adding automated compliance checks for title updates, then leverage proven accuracy to sell into strictly regulated regional commercial banks.
**Timing**: Multimodal LLMs now accurately extract and cross-reference unstructured data across complex construction documents, including scanned AIA G702/G703 forms and site inspection photos. Previously, traditional OCR failed on handwritten architect markups and irregular billing schedules, forcing manual data entry for every line item.
**Why This I C P**: Mid-market commercial real estate debt funds and regional banks feel the pain of draw delays acutely because capital velocity directly impacts their yield. They also lack the massive offshore back-office operations of Tier 1 banks, making them highly motivated buyers of automation.
**Size Of Prize**: ~5,000 US commercial banks and private real estate debt funds spend an average of ~$60,000 annually on loan administration labor dedicated to draw processing. Multiplying these factors yields a ~$300M addressable prize for automating construction progress billing verification.
**Gap Narrative**: Banks financing commercial construction rely on manual review of draw requests, including AIA billing forms, lien waivers, and inspection reports, to release funds. This process is slow and prone to human error, but current software only digitizes the submission phase, leaving the actual line-item reconciliation and math verification to loan administrators.
**Defensibility**: Defensibility compounds through workflow lock-in as the system becomes the central integration point between the borrower portal and the core banking ledger. Over time, the model accumulates a proprietary dataset of localized construction cost benchmarks and contractor billing behaviors, allowing it to predict and flag anomalous draw requests better than any human reviewer.
**Why This Thesis**: Service-as-Software fits this problem because loan administrators do not want another workflow tool to manage. They want the raw draw package ingested and a verified approval recommendation returned, directly replacing the manual reconciliation labor rather than just giving them a new dashboard.

## Opportunity Linked Thesis

**Thesis**: [Service-as-Software](/Theses/Service-as-Software)

## Opportunity Linked I C P

**Icp**: [Construction Lender](/CompanyTypes/Construction_Lender)

## Opportunity Market Sizing

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**S A M**: ~$250-300M focusing strictly on US regional and community banks managing active commercial real estate loan portfolios
**S O M**: ~$10-25M
**T A M**: ~4,500 North American commercial and private construction lenders × ~$120k/yr average software and inspection administration spend ≈ $540M
**Growth Rate**: ~8-12%/yr, driven by rising construction costs requiring tighter fund control and regulatory pressure on commercial real estate loan risk
**Paid Comparable Spend**: ~$300-500 per draw for third-party site inspectors, plus ~$65k-85k/yr for internal loan administrators to manually reconcile AIA G702/G703 forms and lien waivers

## Opportunity Incumbents

- [Built Technologies](/Products/Built_Technologies) — Tool
- [Rabbet Construction Finance](/Products/Rabbet_Construction_Finance) — Tool
- [Land Gorilla](/Products/Land_Gorilla) — Tool
- [Excel Draw Trackers](/Products/Excel_Draw_Trackers) — Spreadsheet
- [Fund Control Consultants](/Products/Fund_Control_Consultants) — Service
- [Manual AIA Form Review](/Products/Manual_AIA_Form_Review) — DIY

## Opportunity Win Conditions

**Kill Thresholds**:
- Human-in-the-loop exception rate exceeds 30 percent after 60 days of usage
- End-to-end draw processing time remains above 4 hours
- Sales cycle to launch a paid pilot exceeds 90 days
- Pilot conversion to paid contract rate falls below 20 percent after 90 days
**Leading Metrics**:
- AIA G702 and G703 line item extraction accuracy rate
- Lien waiver to draw request matching percentage
- Human-in-the-loop exception handling rate per draw package
- End-to-end processing time per draw request
- Number of draw requests routed through the system per week
**What Proves Right**: Banks route their incoming draw request emails into the system and rely entirely on the automated extraction of AIA G702 and G703 line items to fund loans. Loan administrators process draw packages in under two hours instead of three days, trusting the software to flag missing lien waivers and budget overruns. Pilot institutions convert to paid contracts at $50 per draw because the system absorbs the variable workload of commercial construction lending.
**What Proves Wrong**: Contractors submit highly unstructured, handwritten, or modified payment applications that force the system into constant manual exception handling. Lenders maintain their existing manual dual-verification processes despite the software output, demonstrating a lack of trust in automated fund control. The cost of integrating with legacy core banking systems pushes the onboarding time past 90 days and stalls pilot deployments.

## Opportunity Build Profile

**Hardest Part**: The single hardest part is reconciling highly variable, unstructured subcontractor invoices and lien waivers against a rigidly structured, continuously evolving Schedule of Values without triggering false positives that halt funding.
**Min Viable Scope**: Focus strictly on parsing and mathematically reconciling standard AIA G702/G703 forms against the master SOV for Tier 1 general contractors. Deliberately leave out multi-tier subcontractor lien waiver tracking, site inspection photo analysis, and automated payment disbursement.
**Cold Start Problem**: You need a high volume of messy, diverse construction draw requests to train the extraction models. Break this by partnering with a single mid-market construction lender to process historical, already-funded draw packages as the initial training corpus.
**Time To First Value**: 1-2 weeks of onboarding to map a bank's specific risk rules and ingest the initial Schedule of Values for active loan projects.
**Data Moat Available**: true
**Technical Difficulty**: High

## Neighborhood

### Incumbent in

- [Excel Draw Schedules](/Products/Excel_Draw_Schedules) — incumbent in · Products
- [Built Technologies](/Products/Built_Technologies) — incumbent in · Products
- [Rabbet Construction Finance](/Products/Rabbet_Construction_Finance) — incumbent in · Products
- [Land Gorilla](/Products/Land_Gorilla) — incumbent in · Products
- [Manual AIA Form Review](/Products/Manual_AIA_Form_Review) — incumbent in · Products
- [Fund Control Consultants](/Products/Fund_Control_Consultants) — incumbent in · Products

### Applies thesis

- [Construction Lender](/CompanyTypes/Construction_Lender) — applies thesis · CompanyTypes

### Embodies

- [Service-as-Software](/Theses/Service-as-Software) — embodies · Theses

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