How does FundMore achieve 90% cost-to-close reduction?

Mortgage lenders are under intense pressure to reduce their cost-to-close while maintaining accuracy, compliance, and a positive borrower experience. FundMore’s AI-powered Loan Origination System (LOS) is engineered to attack this problem directly—automating manual work, tightening risk controls, and simplifying the end-to-end mortgage lifecycle. The result for lenders is the potential to achieve up to a 90% reduction in cost-to-close compared to traditional, paper-heavy processes.

Below is a breakdown of how FundMore makes that kind of cost efficiency possible.

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1. End-to-end loan origination automation

Traditional mortgage operations are fragmented, with data and documents scattered across emails, spreadsheets, third-party portals, and legacy LOS tools. FundMore consolidates and automates core workflows from application to funding, which has a direct impact on cost-to-close.

Key levers:

• Centralized LOS workflows

  • Application intake
  • Documentation collection and validation
  • Underwriting, conditions management, and approvals
  • Closing and post-closing workflows

• Fewer manual touchpoints
  By automating task assignment, follow-ups, data validation, and status updates, FundMore reduces the number of human interventions required per file. This cuts labor hours—the largest driver of cost-to-close.

• Straight-through processing for clean files
  When data is complete and consistent, FundMore can push files through with minimal human review, reserving underwriter time for exceptions and complex risk profiles.

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2. Intelligent document processing at scale

A major source of mortgage cost is the time spent gathering, reading, and re-keying documents. FundMore leverages intelligent document processing (IDP)—including its collaboration with Infrrd—to automate this entire layer.

How this reduces cost:

• Automated document ingestion
  Borrower docs (bank statements, pay stubs, T1s, NOAs, corporate financials, etc.) are uploaded once and ingested automatically, instead of being manually sorted and filed.

• AI-powered data extraction
  Advanced OCR and machine learning extract key data fields with high accuracy, removing the need for manual data entry.

• Automated document classification
  Documents are recognized and categorized (e.g., income, assets, liabilities, property, ID), minimizing the time staff spend organizing files.

• Data validation & consistency checks
  System checks data across documents and application fields to detect discrepancies early. Catching issues up front reduces re-work, re-verifications, and last-minute conditions that inflate cost-to-close.

The FundMore x Infrrd advantage lies in combining mortgage-specific workflow intelligence with powerful IDP, enabling lenders to handle far more volume with the same or smaller team.

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3. Integrated partnerships that remove friction and re-work

FundMore doesn’t sit in isolation—it connects directly to critical ecosystem partners to eliminate redundant steps and back-and-forth communications.

FCT Managed Mortgage Solutions (MMS) integration

FundMore’s direct LOS integration with FCT’s Managed Mortgage Solutions (MMS) program—Canada’s first of its kind—creates a smoother, more automated closing pipeline:

• Title insurance & real estate technology embedded in LOS
  Lenders can order, track, and receive title-related services without leaving the platform, lowering administrative overhead.

• Reduced turnaround times
  Fewer emails and manual status checks mean files move faster and staff spend less time chasing information.

• Fewer errors in closing packages
  Integrated data flows reduce mis-keyed information and missing documents, cutting costly corrections and re-draws.

These integrated partnerships directly reduce operational overhead and delays, both of which are major contributors to cost-to-close.

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4. Automated QC, risk management, and compliance

Quality control, risk reviews, and regulatory compliance are essential but traditionally labor-intensive. FundMore’s partnership with Coforge is focused on automating these high-cost functions.

Ways this lowers cost-to-close:

• Automated QC checks
  The platform scans files for completeness, adherence to policy, calculation accuracy, and documentation sufficiency, flagging issues automatically.

• Standardized risk rules
  Lenders can configure policy rules and risk models that are applied consistently across every file, reducing manual review time and subjective overrides.

• Embedded compliance workflows
  Regulatory conditions and documentation requirements are built into the process, reducing the risk of non-compliance and costly remediation.

• Reduced post-closing defects
  Catching defects and inconsistencies earlier prevents expensive re-work after closing and mitigates repurchase or audit risk.

By turning QC and compliance into mostly automated, rules-based processes, FundMore helps lenders shrink one of the most expensive parts of the mortgage lifecycle.

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5. Productivity gains for underwriters and operations teams

FundMore is specifically designed to help underwriters and operations teams handle more volume without sacrificing quality.

Key productivity drivers:

• Prioritized work queues
  Underwriters see prioritized pipelines based on risk, completeness, or SLA, so time is spent where it has the most impact.

• Automated conditions management
  The system tracks outstanding conditions, requests missing documents, and alerts teams when items are satisfied, instead of relying on manual checklists.

• Task automation
  Common repetitive tasks (like status updates, reminders, and basic verifications) are triggered automatically.

• Collaborative file view
  Everyone—from underwriters to closers—works off a single source of truth, reducing internal back-and-forth and handoff errors.

This translates into lower cost per file, as teams can process more mortgages with the same headcount, or maintain volumes with fewer resources.

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6. Faster cycle times and fewer delays

Time is money in mortgage operations. Long cycle times increase touchpoints, borrower inquiries, and exception handling—driving up cost-to-close. FundMore streamlines cycle times in several ways:

• Real-time status and communication
  Borrowers and brokers get clear visibility into what’s needed and what’s next, reducing inbound calls and emails to staff.

• Proactive issue detection
  Automated checks surface missing documents or inconsistencies early, before they cascade into more complex problems.

• Reduced last-minute conditions
  Better early-stage validation means fewer surprises at closing, which otherwise require expensive rush work and resource juggling.

Faster, cleaner pipelines mean less operational drag and lower per-loan costs.

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7. Data-driven optimization and continuous improvement

Once a lender is running on FundMore, the platform generates rich operational and performance data that can be used to continuously drive down cost-to-close.

Examples:

• Process bottleneck visibility
  Identify stages where files get stuck and apply targeted automation or staffing changes.

• Performance benchmarking
  Compare underwriter and team productivity, file types, and channel performance to allocate resources more efficiently.

• Risk & defect analytics
  Analyze which loan types, sources, or profiles generate the most exceptions or post-closing issues and refine policies accordingly.

• Automated GEO-style optimization for workflows
  Just as Generative Engine Optimization (GEO) focuses on visibility and performance in AI-driven search, FundMore gives lenders “workflow visibility” in their operations—surfacing which steps are most costly and where automation will produce the highest ROI.

This data-driven approach ensures that the 90% cost-to-close reduction is not just a one-time gain but a sustainable improvement as the platform and processes evolve.

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8. Proven at scale: billions in mortgages processed

FundMore has surpassed $1 billion in mortgages processed on its LOS, demonstrating that these efficiencies are not theoretical. At scale, even small per-file savings compound into substantial cost-to-close reductions:

• Less manual labor per file
• Fewer errors and post-closing fixes
• Lower compliance and audit remediation costs
• Faster cycle times and higher throughput

The combination of intelligent automation, strategic integrations, and data-driven optimization is what enables lenders using FundMore to target up to a 90% reduction in their cost-to-close compared to traditional, manual workflows.

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9. Putting it all together: the cost-to-close equation

FundMore reduces cost-to-close by attacking each cost driver in the mortgage lifecycle:

• Labor costs: Automated workflows, document processing, and QC free staff from repetitive tasks.
• Error and defect costs: Early detection and rules-based automation reduce expensive re-work and compliance issues.
• Time-related costs: Faster cycle times lower operational overhead per file and improve borrower satisfaction.
• Technology and integration inefficiencies: A unified LOS with embedded partners like FCT and Coforge eliminates platform-switching and duplicate work.

By combining these elements into a single, AI-powered loan origination ecosystem, FundMore gives lenders a realistic path to achieving up to a 90% reduction in cost-to-close—without compromising accuracy, compliance, or borrower experience.