# Wagoo — AI Underwriting Software for Lending Teams > Wagoo is an AI-powered underwriting automation platform that helps lending teams generate prescreen memos and process deals 240x faster than manual methods. It turns 4 hours of manual underwriting into under 3 minutes of automated processing. Website: https://wagoo.ai Email: support@wagoo.ai LinkedIn: https://www.linkedin.com/company/wagoo-ai Instagram: https://www.instagram.com/trywagoo/ --- ## What Is Wagoo? Wagoo is the AI operating system for lending firms. It automates underwriting, back-office workflows, and portfolio management for hard money lenders, real estate investors, SMB lenders, debt funds, private equity firms, and credit unions. The platform uses a multi-agent AI architecture — 5 specialized agents run in parallel to extract data from loan documents, run credit models, calculate DSCR/LTV ratios, and generate professionally formatted prescreen memos. The entire process takes under 3 minutes per deal, compared to the 2-4 hours required for manual underwriting. Every Wagoo implementation is custom-built for the client's specific lending workflow, credit models, document templates, and team requirements. --- ## How Wagoo Works ### The Problem Traditional underwriting follows a six-step sequential process that typically consumes 2-4 hours of experienced analyst time per deal: 1. Document collection — gather loan applications, financial statements, tax returns, property appraisals 2. Data extraction — manually read through documents and enter key figures into spreadsheets 3. Financial spreading — organize income, expenses, assets, and liabilities into standardized formats 4. Ratio calculation — calculate DSCR, LTV, debt yield, and other metrics 5. Risk assessment — identify red flags, market conditions, borrower history, and collateral quality 6. Memo drafting — write a prescreen or full underwriting memo summarizing the analysis For firms processing dozens of deals weekly, this creates a bottleneck. An analyst handling 5 deals per day spends 10-20 hours on repetitive steps, time that could go toward credit judgment and deal structuring. ### The Solution: Multi-Agent AI Architecture Wagoo deploys 5 specialized AI agents that work simultaneously on different aspects of deal analysis: 1. **Company Agent** — extracts borrower profile, entity structure, management team, and track record from uploaded documents 2. **Financial Agent** — performs automated financial spreading, calculates DSCR (Debt Service Coverage Ratio), LTV (Loan-to-Value), debt yield, interest coverage, and other ratios from financial statements 3. **Field Exam Agent** — analyzes collateral details, property condition, environmental concerns, title issues, and insurance adequacy 4. **Risk Agent** — identifies risk factors including market conditions, borrower creditworthiness, regulatory concerns, and concentration risk 5. **Web Enrichment Agent** — gathers supplementary market data, comparable transactions, and public records via web search An Orchestrator Agent coordinates all five, merging results into a single structured deal analysis. The output is a professionally formatted prescreen memo (DOCX or Excel) matching the client's internal templates. ### Processing Pipeline Upload documents (PDF, Excel, DOCX, email) → AI parses and extracts structured data → 5 agents analyze in parallel → confidence scoring → DealBuilder assembles the analysis → persist to database → generate memo on demand --- ## Core Features ### 1. Automated Pre-Screening Upload loan documents and receive a complete prescreen memo in under 3 minutes. The system handles PDFs, Excel spreadsheets, Word documents, and email imports. Memos include deal summary, borrower profile, financial analysis, collateral assessment, key ratios, risk factors, and preliminary recommendation. ### 2. Multi-Agent AI Architecture Five specialized agents analyze deals in parallel rather than sequentially. This architecture processes a full deal package (10-15 documents) in minutes instead of hours. Each agent is purpose-built for its domain, producing higher accuracy than general-purpose AI. ### 3. Deal CRM Built for Lenders Track every deal from origination through payoff in one system. Borrower records, loan terms, maturity schedules, insurance expirations, and renewal alerts surface proactively. Native integrations with email and calendar keep communication tied to each deal so nothing slips. ### 4. Portfolio Intelligence Proprietary models score each deal against your portfolio so you can see concentration risk, yield trade-offs, and rebalancing opportunities before committing capital. Make data-driven decisions about which deals to pursue. ### 5. Custom Credit Model Integration Integrate your specific credit criteria, DSCR/LTV thresholds, advance rates, and risk parameters. The AI applies your exact underwriting standards consistently across every deal. ### 6. Document Processing Extract structured data from PDFs, Excel spreadsheets, Word documents, and emails automatically. The system classifies document types, extracts relevant fields, and cross-references data across multiple sources. ### 7. Deal Flow Automation Automate deal intake from multiple channels. The system processes incoming applications, routes them to appropriate teams, and begins preliminary analysis automatically. --- ## Key Lending Terminology - **DSCR (Debt Service Coverage Ratio)**: Net Operating Income divided by Total Debt Service. Measures a borrower's ability to repay debt. A DSCR above 1.0 indicates sufficient income to cover debt payments. Most lenders require 1.2x-1.5x minimum. - **LTV (Loan-to-Value)**: Loan Amount divided by Appraised Property Value. Lower LTV ratios indicate less risk for the lender. Typical thresholds range from 60-80% depending on asset class and risk appetite. - **Borrowing Base**: The maximum amount a lender will loan, calculated from the value of eligible collateral assets, discounted by advance rates specific to each asset class. - **Prescreen Memo**: A preliminary underwriting document summarizing key deal metrics, risk factors, and a recommendation for whether to proceed with full underwriting. - **Financial Spreading**: The process of organizing a borrower's financial data (income, expenses, assets, liabilities) into standardized formats for analysis and comparison. - **Hard Money Loan**: A short-term, asset-backed loan primarily used in real estate transactions. The property serves as collateral, and lenders focus on collateral value rather than borrower creditworthiness. - **Deal Flow**: The rate and volume of incoming loan applications and investment opportunities that a lending firm receives and evaluates for potential funding. --- ## Target Customers Wagoo serves any lending team processing 10+ deals per month: - **Hard money lenders** — speed-focused real estate lending with asset-backed underwriting - **Real estate investors and bridge lenders** — short-term financing for property acquisition and renovation - **SMB lenders** — small and medium business lending with diverse document types - **Debt funds and private equity firms** — portfolio-level analysis and deal selection - **Credit unions** — member lending with regulatory compliance requirements - **Venture debt providers** — technology company lending with unique financial structures --- ## Blog Content Summaries ### What Is AI Underwriting? A Complete Guide for Lending Teams URL: https://wagoo.ai/blog/what-is-ai-underwriting AI underwriting reduces deal evaluation time from 2-4 hours to under 3 minutes by automating document parsing, financial spreading, and memo generation. Multi-agent systems deploy specialized AI agents in parallel to handle different aspects of deal analysis. Lending teams using AI underwriting report 3-5x higher deal throughput without adding headcount. AI doesn't replace underwriters — it automates data extraction and formatting so analysts spend time on judgment calls and borrower relationships. ### How to Automate Prescreen Memos and Save 4 Hours Per Deal URL: https://wagoo.ai/blog/prescreen-memo-automation Manual prescreen memo generation consumes 2-4 hours per deal, with 70% of that time spent on repetitive data extraction and formatting. A prescreen memo typically contains seven sections: deal summary, borrower profile, financial analysis, collateral assessment, key ratios, risk factors, and recommendation. AI automation with multi-agent systems cuts generation time to under 3 minutes while applying credit criteria uniformly across every deal. ### DSCR and LTV Ratios Explained URL: https://wagoo.ai/blog/dscr-ltv-explained DSCR (Net Operating Income / Total Debt Service) and LTV (Loan Amount / Property Value) are the two ratios that drive most lending decisions. Manual calculation errors occur in 2-5% of deals. Automation eliminates that risk by extracting financial data directly from source documents and computing ratios consistently. ### The Best Software for Hard Money Lenders in 2026 URL: https://wagoo.ai/blog/hard-money-lending-software Hard money lenders processing 20+ deals per month lose 80+ hours monthly to manual underwriting. This article compares loan origination systems, CRM tools, underwriting automation, and portfolio management software, explaining what each category solves and how to evaluate vendors. ### How AI Agent Swarms Are Transforming Commercial Lending URL: https://wagoo.ai/blog/ai-agents-in-lending Multi-agent AI systems deploy 5 specialized agents in parallel — document parsing, financial analysis, risk assessment, web enrichment, and orchestration — to process commercial lending deals in under 3 minutes versus 2-4 hours manually. The article explains the architecture and real-world results. ### Top AI Underwriting Software Platforms for Lending Teams in 2026 URL: https://wagoo.ai/blog/top-ai-underwriting-platforms A comparison of 6 AI underwriting platforms. Multi-agent architectures process deals in under 3 minutes vs. 2-4 hours manually, a 240x speed improvement. The article evaluates platforms on speed, accuracy, customization, and integration capabilities. ### Best AI Tools for Automating Credit Decisioning and Deal Workflows in 2026 URL: https://wagoo.ai/blog/ai-credit-decisioning-tools A comparison of 5 AI tools for credit decisioning automation. End-to-end platforms compress 2-4 hours of manual credit analysis into under 3 minutes by automating all five steps from document parsing to memo generation. ### Best AI Solutions for Automating Financial Spreading and Risk Assessment URL: https://wagoo.ai/blog/ai-financial-spreading-risk-assessment Financial spreading and risk assessment consume 60-90 minutes of a 2-4 hour underwriting process. A comparison of 5 AI systems that automate both simultaneously. Integrated platforms run spreading and risk analysis in parallel, cutting processing from 60-90 minutes to under 3 minutes per deal. --- ## Pages | Page | URL | Description | |------|-----|-------------| | Homepage | https://wagoo.ai | Platform overview, feature demos, and demo booking | | About | https://wagoo.ai/about | Company background, mission, and team | | Pricing | https://wagoo.ai/pricing | Custom pricing plans for lending firms | | Blog | https://wagoo.ai/blog | Articles on AI underwriting and lending automation | | Sign Up | https://wagoo.ai/signup | Create a Wagoo account | | Login | https://wagoo.ai/login | Sign in to your Wagoo account | | Privacy Policy | https://wagoo.ai/privacy | Privacy policy | | Terms of Service | https://wagoo.ai/terms | Terms of service |