# Audolt

*/Industries/Administration_of_Housing_Programs/Problems/Tenant_Income_Verification_Audits/Startups/Audolt*

## Startup Overview

This document parsing and calculation engine automates annualized income projections for non-traditional wage earners. It ingests cell phone photos of physical pay stubs, gig economy app screenshots, and cash deposit ledgers, extracting gross earnings to compute the precise figures required for federal housing subsidy formulas.

Housing program administrators and compliance auditors face severe recertification backlogs when verifying eligibility for subsidized shelter. Because applicants increasingly rely on gig work and independent contracts, caseworkers manually review fragmented financial histories and hand-key extraction data into spreadsheets to perform mandatory Department of Housing and Urban Development compliance arithmetic. The strict new HOTMA income calculation rules turn this manual reconciliation process into a massive liability, exposing understaffed agencies to failed audits and funding clawbacks.

Legacy verification databases like The Work Number rely strictly on direct W-2 payroll integrations, systematically excluding gig workers and unbanked populations. Similarly, housing management systems of record such as Yardi Voyager act only as storage, forcing staff to rely on manual spreadsheet arithmetic to project non-standard earnings. By deploying an automated projection engine built specifically for unstructured documents, this software instantly translates low-quality image uploads into fully documented compliance calculations without requiring structured payroll APIs or manual caseworker data entry.

## Startup Founding Hypothesis

**Problem**: [Tenant Income Verification Audits](/Industries/Administration_of_Housing_Programs/Problems/Tenant_Income_Verification_Audits)
**Approach**: a software that parses unstructured document photos to automate annualized income projections
**Customer**: [Administration of Housing Programs](/CompanyTypes/Administration_of_Housing_Programs)
**Competitors**:
- [The Work Number](/Competitors/The_Work_Number)
- [Yardi Voyager](/Competitors/Yardi_Voyager)
- [Manual Spreadsheet Arithmetic](/Competitors/Manual_Spreadsheet_Arithmetic)
**Differentiator2x2**: an automated projection engine built specifically for unstructured documents

## Startup Solution Coordinate

**Solution**: [Income Lens](/Software/Income_Lens)

## Startup Position2x2

```mermaid
quadrantChart
    title Market Positioning: Verification Solutions
    x-axis "Direct Payroll API" --> "Unstructured Documents"
    y-axis "Workflow Storage" --> "Automated Projection"
    quadrant-1 "AI Verification Engine"
    quadrant-2 "Payroll Database APIs"
    quadrant-3 "Systems of Record"
    quadrant-4 "Manual Casework"
    "The Work Number": [0.15, 0.85]
    "Yardi Voyager": [0.20, 0.20]
    "Manual Spreadsheet Arithmetic": [0.85, 0.15]
    "Audolt": [0.88, 0.85]
```

## Startup Offer

**Proof**:
- Public Housing Authority eliminating recertification backlogs without hiring additional caseworkers.
- State Housing Agency projecting annualized HOTMA income with zero calculation errors.
- Subsidized Property Manager parsing gig-economy screenshots into compliant HUD worksheets.
**Tiers**:
- Name: Standard Audit Engine · Price: ~$15k–$20k/yr · Inclusions: Up to 5,000 tenant recertification files annually, automated gig-income extraction, standard HOTMA compliance calculations, and PDF audit trail generation for caseworkers.
- Name: Agency Premium · Price: ~$30k–$40k/yr · Inclusions: Up to 15,000 tenant recertification files annually, priority human-in-the-loop review, anomaly detection for unstructured cash app ledgers, and intended data-export connectors for Yardi Voyager.
**Guarantee**: If the software fails to correctly extract a legible gross earnings figure from an uploaded tenant document, we will manually reconcile the file within 24 hours and issue a credit for that transaction.
**Business Function**: ProvideService
**Objection Handlers**:
- Does this plug straight into Yardi Voyager or Emphasys Elite? We provide standardized CSV exports designed to map directly to major housing management systems, with direct API integrations on the roadmap.
- How does it handle blurry cell phone photos of physical pay stubs? The vision-language model explicitly targets low-resolution and cropped images, returning a confidence score to flag completely illegible uploads for manual caseworker review.
- Our caseworkers don't trust automated math for HUD audits. Every calculation generates a step-by-step PDF audit trail linking the final HOTMA projection directly to highlighted line items in the source documents.
- What if a tenant submits cash app ledgers instead of W-2s? The system parses unstructured transaction histories from cash apps and categorizes recurring deposits to project annualized non-traditional income.
**Pricing Architecture**: Tiered

## Startup Brand

**Voice**: Institutional and precise, anchored entirely in regulatory exactness and mathematical certainty.
**Tagline**: Calculate compliant tenant income directly from unstructured document photos.
**Icon Concept**: paystub
**Palette Intent**: institutional-cool
**Visual Identity**: Deep bureaucratic navy and slate tones dominate a high-contrast layout, pairing rigid typographic grids with sharp structural lines to evoke federal compliance ledgers.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Audolt → Public Housing Authority (Buyer) → Occupancy Specialist (User) → Subsidy Applicant (Beneficiary)
**Gtm Motion**: Audolt acquires Public Housing Authorities through direct outbound campaigns targeting Executive Directors with immediate HOTMA compliance deadlines and HUD audit penalty risks. Expansion occurs by landing initial contracts for annual recertification processing, then extending the usage to intake specialists for waitlist eligibility screening and interim rent adjustments across the agency's property portfolio.
**Agent Channel**: Designed to be listed in the Yardi Voyager Marketplace and Emphasys Elite integration catalogs, where autonomous housing administration agents would query for an "unstructured income extraction" or "HOTMA compliance calculator" endpoint to process non-standard tenant financial evidence.
**Primary Channel**: Public sector procurement databases like GovSpend and government RFP portals, discovered when Housing Compliance Directors search for "HOTMA compliance software," "gig income verification," or "tenant recertification automation."

## Startup Customer Journey

```mermaid
flowchart LR
    A[GovSpend RFP Database] --> B[Housing Executive Director]
    B --> C[Gig Income Evidence]
    C --> D[HOTMA Audit Trail]
    D --> E[Standard Audit Engine]
    E --> F[Waitlist Eligibility Screener]
    F --> G[HUD Compliance Report]
```

## Startup Proof Points

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

**Pilot Goals**:
- A 30-day parallel run processing 500 historical tenant files alongside caseworkers to prove the AI audit engine correctly catches gig-income omissions that manual spreadsheet reviews previously missed.
- A 60-day trial deployed at a single subsidized housing intake desk to validate that the standard CSV exports map cleanly into an existing Yardi Voyager system without requiring custom API integrations.
**Target Metrics**:
- target: 80% reduction in caseworker hours spent performing manual arithmetic on non-traditional income evidence
- aim: 0 calculation errors flagged by federal auditors during mandatory HUD compliance reviews
- target: 48-hour average turnaround time for annual tenant recertifications
- target: 90% automated data extraction success rate from low-resolution or cropped mobile phone photos of financial documents
**Target Case Studies**:
- A mid-sized municipal Public Housing Authority eliminating its annual recertification backlog by automating gross earnings extraction directly from low-resolution pay stub photos and gig-worker screenshots.
- A state-level Section 8 Administrator avoiding HUD funding clawbacks by standardizing complex HOTMA income projection rules across unstructured tenant financial submissions.
- A nonprofit affordable property management organization cutting application intake time by generating instant step-by-step PDF audit trails instead of manually cross-referencing cash app ledgers in spreadsheets.
**Testimonial Targets**:
- An Occupancy Specialist stating the step-by-step PDF audit trails give them complete confidence in the automated HOTMA math when preparing files for federal review.
- A Compliance Director emphasizing that the system's ability to parse unstructured cash app ledgers successfully closes the data gap that direct-payroll databases systematically miss for unbanked tenants.
- A Housing Program Director highlighting the ability to handle the annual surge of subsidized housing recertifications without forcing staff into mandatory weekend overtime.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Model hallucination or miscalculation of complex HOTMA deduction rules causes an agency to fail a HUD audit and face federal funding clawbacks. · Mitigation Status: in-progress
- Severity: high · Description: Public sector procurement mandates stringent FedRAMP or StateRAMP security compliance for handling unredacted financial PII, blocking early-stage sales cycles. · Mitigation Status: unmitigated
- Severity: high · Description: Closed APIs from entrenched legacy systems like Yardi Voyager prevent automated data write-back, forcing caseworkers to manually double-enter the extracted numbers. · Mitigation Status: in-progress
- Severity: moderate · Description: Caseworkers distrust the automated annualized projections and manually re-calculate gig income using spreadsheets, negating the promised labor savings. · Mitigation Status: unmitigated

## Startup Competitors

- [The Work Number](/Competitors/The_Work_Number) — Payroll Database API
- [Yardi Voyager](/Competitors/Yardi_Voyager) — System of Record
- [Manual Spreadsheet Arithmetic](/Competitors/Manual_Spreadsheet_Arithmetic) — Status Quo
- [Emphasys Elite](/Competitors/Emphasys_Elite) — Legacy Platform
- [MRI Software](/Competitors/MRI_Software) — Incumbent ERP
- [Physical Notarized Letters](/Competitors/Physical_Notarized_Letters) — Manual Workaround

## Startup Solution Stack

- [Tenant Recertification Service](/Services/Tenant_Recertification_Service) — Service-as-Software
- [Income Projection Agent](/Agents/Income_Projection_Agent) — Agent
- [Gig Evidence Worker](/Agents/Gig_Evidence_Worker) — Agent
- [HOTMA Compliance Engine](/Software/HOTMA_Compliance_Engine) — Software
- [Multimodal Parsing API](/Software/Multimodal_Parsing_API) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the rigorous steward of federal funds, not a data-entry clerk
- **Want**: to calculate compliant tenant income from fragmented gig-economy screenshots and pay stubs
- **Identity**: the occupancy specialist at a municipal public housing authority
**Plan**:
- Step: Upload files · Detail: Drop tenant pay stubs, gig app screenshots, and bank ledgers into the secure dashboard.
- Step: Validate projections · Detail: Review the automated annualized income calculations and step-by-step PDF audit trails.
- Step: Export results · Detail: Download the verified income worksheet to update records in Emphasys Elite or PHA-Web.
**Guide**:
- **Empathy**: Does your recertification process still stall because of blurry photos of Cash App ledgers?
**Problem**:
- **Villain**: unstructured income data
- **External**: caseworkers manually perform spreadsheet arithmetic for gig earnings and hand-key figures into Yardi Voyager
- **Internal**: you feel buried in a never-ending recertification backlog while fearing a HUD audit failure
- **Philosophical**: Housing assistance was built for community stability, not administrative paralysis.
**Success**: Your agency processes recertifications in minutes with perfect HOTMA compliance and a documented audit trail for every dollar of subsidy.
**One Liner**: Manual income verification costs housing authorities weeks of administrative backlog. Audolt automates income extraction from unstructured documents so agencies pass every HUD audit.
**Positioning**:
- **So That**: automate HOTMA-compliant income projections from unstructured documents
- **Unlike**: manual spreadsheet arithmetic
- **For Whom**: the occupancy specialist at a public housing authority
- **Category**: AI income verification for housing authorities
**Call To Action**:
- **Direct**: Process a recertification
- **Transitional**: Download sample HOTMA audit trail
**Failure Stakes**:
- HUD funding clawbacks from calculation errors
- Permanent recertification backlogs
- Acute caseworker burnout and turnover
**Transformation**:
- **To**: the specialist who maintains 100% compliance with zero backlogs
- **From**: a caseworker performing manual arithmetic on crumpled paystubs
**Controlling Idea**: Housing compliance should be defined by accuracy, not by manual data entry.

## Startup Business Definition

**Name**: Tenant Income Verification Audits for Administration of Housing Programss
**Layers**:
- **Thesis**: Software
- **Template**: api-business
- **Buyer Chain**: Audolt → Public Housing Authority (Buyer) → Occupancy Specialist (User) → Subsidy Applicant (Beneficiary)
**Vision**:
- **Vision**: Administration of Housing Programs no longer carry the cost of tenant income verification audits; the work runs reliably in the background, and the team that used to do it is free for higher-leverage work in administration of housing programs.
- **Mission**: ship the API surface that solves tenant income verification audits for Administration of Housing Programs.
**Industry**: Administration of Housing Programs
**Coord Href**: /Industries/Administration_of_Housing_Programs/Problems/Tenant_Income_Verification_Audits/Startups/Audolt
**Processes**:
- Name: Customer Intake · Owner: startup-cs-onboarding · Category: core · Description: Capture a new customer's signup or sales hand-off and route them into onboarding. · Added By Layer: operate-baseline
- Name: API Request Lifecycle · Owner: delivery-platform-engineer · Category: core · Description: Each API call lands, is served, is observed against SLOs. · Added By Layer: thesis
**Workflows**:
- Name: On New Customer Signup · Description: Event-driven: a new customer signs up → kick off onboarding + record the founding-OKR KR event. · Added By Layer: operate-baseline
- Name: On SLO Breach · Description: API SLO budget breach → escalate to API reliability + capture incident. · Added By Layer: thesis
**Departments**:
- Id: delivery-headless-saas · Code: DEL · Name: Delivery (Software — API/Platform) · Description: Delivery primitives for a Software Thesis (ADR 0034 §3 + §4 graduation exception). API/platform + DX Positions are Startup-internal pre-graduation because the product IS the software it ships. · Added By Layer: thesis
- Id: startup-operate · Code: OPS-S · Name: Operate (Startup-specific shared services) · Description: Per-Startup operate functions — Customer Success, Marketing, Revenue/Sales, Customer Ops. The Studio default carries portfolio-wide bookkeeping/AP/AR/tax/legal-prep (#239); this overlay adds the Startup-specific operate Positions that have to exist in every operating company. The four-layer specialization (Thesis/Template/spine/Buyer-Chain) then shapes these seats to the Startup's actual shape — additions/overrides happen in those layers, not here. · Added By Layer: operate-baseline
**Description**: An operating company shipping an API/platform that solves tenant income verification audits for administration of housing programss.
**Founding Okr**:
- **Period**: First 90 days
- **Objective**: Prove the wedge — first administration of housing programs pay for tenant income verification audits solved.
- **Description**: The founding OKR — every key result is a concept-stage TARGET (no operating history claimed), aimed at validating the Founding Hypothesis against the assigned wedge.
**Generated By**:
- **Generator**: C1
- **Generator Version**: 1.0.0
**Inherits From**:
- **Base**: STUDIO_DEFAULT_ORG
- **Version**: 1.0.0
- **Schema Version**: 2.1.4

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Manual income verification costs housing authorities weeks of administrative backlog. Audolt automates income extraction from unstructured documents so agencies pass every HUD audit.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Link_pain_phrase**:
- [Tenant Income Verification Audits](/Industries/Administration_of_Housing_Programs/Problems/Tenant_Income_Verification_Audits)
**Vocab Fingerprint**: 23ffec646f224d9a

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: AI income verification for housing authorities for the occupancy specialist at a public housing authority. Unlike manual spreadsheet arithmetic — automate HOTMA-compliant income projections from unstructured documents.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Link_pain_phrase**:
- Tenant Income Verification Audits
**Vocab Fingerprint**: ed20bcc12ff5fb52

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: caseworkers manually perform spreadsheet arithmetic for gig earnings and hand-key figures into Yardi Voyager
Solution: Manual income verification costs housing authorities weeks of administrative backlog. Audolt automates income extraction from unstructured documents so agencies pass every HUD audit.
Customer: the occupancy specialist at a public housing authority
Unlike: manual spreadsheet arithmetic
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Link_pain_phrase**:
- Tenant Income Verification Audits
**Vocab Fingerprint**: 08643876940aecd2

## Startup Token M E D D P I C C

**Pain**: caseworkers manually perform spreadsheet arithmetic for gig earnings and hand-key figures into Yardi Voyager
**Metrics**: Target: Your agency processes recertifications in minutes with perfect HOTMA compliance and a documented audit trail for every dollar of subsidy.
**Rendered**: Pain: caseworkers manually perform spreadsheet arithmetic for gig earnings and hand-key figures into Yardi Voyager
Economic buyer: Public Housing Authority
Metrics: Target: Your agency processes recertifications in minutes with perfect HOTMA compliance and a documented audit trail for every dollar of subsidy.
Competition: manual spreadsheet arithmetic
**Mechanism**: spine-derived-v1
**Competition**: manual spreadsheet arithmetic
**Economic Buyer**: Public Housing Authority
**Vocab Fingerprint**: 1abfa141f1da09f4

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: AI income verification for housing authorities for the occupancy specialist at a public housing authority

the occupancy specialist at a public housing authority — caseworkers manually perform spreadsheet arithmetic for gig earnings and hand-key figures into Yardi Voyager Manual income verification costs housing authorities weeks of administrative backlog. Audolt automates income extraction from unstructured documents so agencies pass every HUD audit.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Link_pain_phrase**:
- Tenant Income Verification Audits
**Vocab Fingerprint**: 82e12ecb494f0e0e

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: AI income verification for housing authorities. Manual income verification costs housing authorities weeks of administrative backlog. Audolt automates income extraction from unstructured documents so agencies pass every HUD audit. Serves the occupancy specialist at a public housing authority.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Link_pain_phrase**:
- Tenant Income Verification Audits
**Vocab Fingerprint**: af8c93211a3726b6

## Neighborhood

### What it offers

- [Income Lens](/Software/Income_Lens) — offers · Software
- [Audolt Certify](/Agents/Audolt_Certify) — offers · Agents

### Composed of

- [Income Projection Agent](/Agents/Income_Projection_Agent) — composes · Agents
- [Tenant Recertification Service](/Services/Tenant_Recertification_Service) — composes · Services
- [Multimodal Parsing API](/Software/Multimodal_Parsing_API) — composes · Software
- [HOTMA Compliance Engine](/Software/HOTMA_Compliance_Engine) — composes · Software
- [Gig Evidence Worker](/Agents/Gig_Evidence_Worker) — composes · Agents

### Competitors

- [Physical Notarized Letters](/Competitors/Physical_Notarized_Letters) — competes with · Competitors
- [Emphasys Elite](/Competitors/Emphasys_Elite) — competes with · Competitors
- [MRI Software](/Competitors/MRI_Software) — competes with · Competitors
- [The Work Number](/Competitors/The_Work_Number) — competes with · Competitors
- [Yardi Voyager](/Competitors/Yardi_Voyager) — competes with · Competitors
- [Manual Spreadsheet Arithmetic](/Competitors/Manual_Spreadsheet_Arithmetic) — competes with · Competitors
- [HUD EIV System](/Competitors/HUD_EIV_System) — competes with · Competitors
- [MRI PHA Web](/Competitors/MRI_PHA_Web) — competes with · Competitors
- [Manual Excel Templates](/Competitors/Manual_Excel_Templates) — competes with · Competitors
- [Manual Excel Calculations](/Competitors/Manual_Excel_Calculations) — competes with · Competitors

### Embodies

- [Software](/Theses/Software) — embodies · Theses
- [Agent](/Theses/Agent) — embodies · Theses

### Who it serves

- [Administration of Housing Programs](/CompanyTypes/Administration_of_Housing_Programs) — serves · CompanyTypes
- [Public Housing Authority](/CompanyTypes/Public_Housing_Authority) — serves · CompanyTypes

### Entrant in opportunity

- [AI Income Verification for Housing Authorities](/Opportunities/AI_Income_Verification_for_Housing_Authorities) — is entrant in · Opportunities
- [AI Income Verification for PHAs](/Opportunities/AI_Income_Verification_for_PHAs) — is entrant in · Opportunities

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### Similar Customers

- [Government housing agencies](/Customers/Government_housing_agencies) — similar · Customers