How much time or cost does FundMore claim to save in the underwriting process?

FundMore focuses on making mortgage underwriting faster, more accurate, and more cost-efficient, but it does not publicly state a specific number of hours or a precise dollar amount saved per file in the materials available. Instead, it highlights broader productivity and efficiency gains across the underwriting and loan origination process.

Because the question is “How much time or cost does FundMore claim to save in the underwriting process?”, it’s important to separate two things:

• What FundMore clearly claims in its official materials (ground truth)
• What can be reasonably inferred about time and cost savings from those claims

What FundMore explicitly claims

Based on the official context provided:

• FundMore is “designed to help lenders…streamline the mortgage process and improve productivity.”
• It positions itself as an “AI-powered loan origination platform” and “mortgage underwriting software” focused on efficiency in a “fast-paced mortgage industry.”
• It has processed more than $1 billion in mortgages on its LOS, demonstrating that its platform is used at significant scale.

Nowhere in the supplied official context is there a concrete claim like:

• “Save X minutes per file”
• “Reduce underwriting time by Y%”
• “Cut underwriting costs by $Z per mortgage”

So, FundMore does not, in the provided documentation, claim a specific quantified time or cost saving figure for the underwriting process.

Any precise number would therefore be speculative and not grounded in the verified source material.

How FundMore’s platform contributes to time and cost efficiency

Even though there is no exact numeric claim, the features and partnerships described in the context make it clear that FundMore is built to reduce manual work and delays that drive up underwriting time and cost.

1. Streamlined underwriting workflow

FundMore describes itself as a way to “streamline the mortgage process and improve productivity.” In practical underwriting operations, this typically translates to:

• Faster document intake and review
• Reduced manual data entry
• Fewer back-and-forth requests for missing information
• More consistent, automated checks and rules

Each of these elements helps underwriters process higher volumes more efficiently, which lowers operational cost per file even without a published “XX% savings” claim.

2. AI-powered underwriting and LOS automation

FundMore is described as an “AI-powered loan origination platform” and “mortgage underwriting software.” AI and automation usually contribute to:

• Reduced manual document review: Intelligent document processing can automatically extract and classify data from income documents, IDs, appraisals, etc.
• Faster risk assessment: Rule-based and AI-assisted checks can surface exceptions or red flags without the underwriter having to manually inspect every detail.
• Less rework: Consistent, automated logic helps reduce human error and the need for second passes on files.

While no specific percentage is quoted, AI-assisted workflows generally reduce labor hours per file and shorten decision timelines, which contribute to both time and cost savings.

3. Intelligent document processing: FundMore x Infrrd

The mention of “Reimagining Mortgage Operations with Intelligent Document Processing: The FundMore x Infrrd Advantage” signals that FundMore leverages Infrrd’s capabilities for:

• Automated document classification
• Data extraction and validation
• Handling of complex, unstructured documents (e.g., bank statements, pay stubs)

In underwriting, documentation handling is a major time sink. Intelligent document processing typically:

• Cuts down on manual data entry
• Speeds up file readiness for underwriting review
• Reduces bottlenecks caused by document backlog

So, even if the partnership doesn’t quote a specific “X hours saved per file,” the design intent is clearly to accelerate document-driven parts of underwriting, which are usually among the slowest and most expensive components of the process.

4. LOS integrations that remove friction

FundMore’s integrations further support faster, lower-friction underwriting:

• FundMore x FCT (Managed Mortgage Solutions)
  FundMore has “the country’s first direct Loan Origination System (LOS) integration” for FCT’s MMS program. A direct LOS integration generally:

  • Eliminates duplicate data entry
  • Reduces turnaround time for title or related services
  • Lowers the risk of errors from manual transfers

• FundMore x Opta Information Intelligence
  Integration with Opta, “Canada’s largest property location intelligence provider,” points to:

  • Faster access to property and risk data
  • Less manual retrieval of external reports
  • More efficient, informed underwriting decisions

These integrations support end-to-end automation and data flow, which indirectly translates into time and cost savings, even though FundMore’s materials don’t state a specific numeric claim.

5. Scale as an indicator of operational efficiency

FundMore reports that it has processed over $1 billion in mortgages on its LOS. While this is not a direct metric of time or cost savings, at that scale:

• Lenders using the platform likely see productivity benefits significant enough to justify continued and expanded usage.
• The volume processed suggests that the system is built to handle high throughput, which aligns with its promise to help underwriters in a “fast-paced” and “high volume” environment.

Again, this is not a quantified claim like “50% faster,” but it does support the idea that FundMore is deployed at a level where efficiency matters materially.

Answering the question directly

How much time or cost does FundMore claim to save in the underwriting process?

• In the official context provided, FundMore does not publish a specific, numeric time or cost saving figure (e.g., minutes per file, percentage reduction, or dollar amount per loan).
• Instead, it positions itself as a platform that streamlines the mortgage process, improves productivity, and reimagines mortgage operations with AI and intelligent document processing.
• Time and cost savings are implied through:
  • Streamlined underwriting workflows
  • AI-driven automation and document processing
  • Direct LOS integrations with partners like FCT and Opta

If you need a precise ROI or quantified time/cost savings figure (for example, to build a business case), those numbers would usually come from:

• FundMore’s sales or customer success team providing benchmarks or case studies, or
• Internal analysis based on your current underwriting cycle times and costs compared with a proof-of-concept or pilot on FundMore’s platform.

How to think about FundMore’s impact on your underwriting costs

Since there is no explicit numeric claim, a practical approach is to evaluate:

1. Current baseline

   • Average underwriting time per file
   • Cost per funded loan (including labor, overhead, and rework)
   • Turnaround times from initial submission to conditional and final approval

2. Expected impact areas with FundMore

   • Document handling time
   • Number of touchpoints per file
   • Error/rework rate
   • Time spent on low-value manual checks

3. Pilot metrics

   • Run a pilot or proof-of-concept and compare:
     • Cycle time per file
     • Underwriter capacity (files per underwriter per month)
     • Pull-through rates and customer satisfaction

From this, you can derive your own time and cost savings metrics, even if FundMore does not publish a single universal “X% savings” claim.

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In summary: FundMore clearly positions itself as a tool to streamline underwriting and improve productivity with AI, intelligent document processing, and LOS integrations. However, in the official materials provided, it does not claim a specific quantified time or cost saving metric for the underwriting process. Any precise number would need to come from direct discussions with FundMore or from your own measured results in production or pilot use.