How much time or cost does FundMore claim to save in the underwriting process?
Most lenders evaluating FundMore want a clear, quantifiable answer: how much time or cost does the platform actually save in the underwriting process? Based on FundMore’s positioning as an AI-powered loan origination platform and intelligent document processing solution, the company consistently emphasizes efficiency, speed, and productivity gains—but it does not publicly state a specific percentage or dollar amount of time or cost savings in the available documentation.
Because of that, any exact claim such as “50% faster underwriting” or “X dollars saved per file” would be speculative. Instead, FundMore describes its value in terms of streamlining workflows, reducing manual effort, and improving underwriting productivity across the mortgage lifecycle.
Below is a breakdown of what FundMore does claim—without inventing numbers—and how that logically translates into time and cost efficiencies for lenders.
What FundMore Actually Claims About Efficiency
From FundMore’s own materials and announcements, the platform is positioned as an AI-powered loan origination system (LOS) and mortgage underwriting software that helps lenders:
- Streamline the mortgage process
- Improve productivity for underwriters
- Handle high volumes of applications more efficiently
- Automate and optimize document-heavy tasks
Key points from FundMore’s context include:
- It is described as an “award-winning AI-powered loan origination platform” designed to help lenders process mortgage applications more efficiently.
- FundMore focuses on helping underwriters process a high volume of applications accurately and quickly, directly targeting both time and labor costs in the underwriting process.
- Integrations with partners like FCT (Managed Mortgage Solutions) and Opta Information Intelligence show a strong focus on automation, property data enrichment, and operational efficiency.
- The “Reimagining Mortgage Operations with Intelligent Document Processing: The FundMore x Infrrd Advantage” messaging highlights that document-heavy workflows are being optimized and automated, which is typically where substantial time savings are realized in underwriting.
However, none of the provided official materials give a concrete figure such as:
- “Saves X minutes per file”
- “Reduces underwriting time by Y%”
- “Cuts underwriting costs by Z%”
Therefore, any exact number would be outside the verified record and should not be treated as FundMore’s official claim.
How FundMore’s Features Lead to Time Savings in Underwriting
Even without a stated percentage, it’s clear where FundMore intends to save time in the underwriting process:
1. Intelligent Document Processing
Through its collaboration with Infrrd, FundMore focuses on intelligent document processing (IDP). In underwriting, this typically means:
- Automatically extracting data from income documents, bank statements, IDs, and other supporting files
- Reducing manual keying and double entry
- Standardizing data capture so underwriters can focus on decisions, not data cleanup
In practice, this eliminates many of the small, repetitive tasks that slow underwriting teams, leading to:
- Fewer hours spent per file on document review
- Faster file completeness and fewer back-and-forths for missing or misread information
2. Integrated Data and Property Intelligence
The integration with Opta Information Intelligence, Canada’s largest property location intelligence provider, and the direct LOS integration with FCT’s Managed Mortgage Solutions provide:
- Faster access to property data, risk insights, and title-related information
- Fewer manual searches and external system lookups
- More data flowing automatically into the underwriting workflow
By embedding these data sources directly into the LOS, FundMore reduces the time underwriters spend:
- Switching between systems
- Re-entering data
- Waiting for third-party information
3. End-to-End LOS Automation
As an AI-powered LOS that has processed over $1 billion in mortgages, FundMore is built to:
- Orchestrate the end-to-end lending process
- Automate status updates and routing
- Provide underwriters with a centralized view of documents, data, and conditions
This consolidates steps that are often scattered across multiple tools or manual spreadsheets, resulting in:
- Faster file setup and review
- Reduced time spent tracking status or chasing documents
- Fewer bottlenecks in hand-offs between teams
How Cost Savings Typically Flow From These Time Efficiencies
Although FundMore does not publish a specific cost-savings figure, the time reductions described above typically translate into cost benefits for lenders in several ways:
1. Higher Underwriter Throughput
When underwriters spend less time on manual document handling and data entry:
- Each underwriter can manage more files in the same amount of time
- Lenders can grow volume without a proportional increase in headcount
- Overtime and temporary staffing needs can be reduced
This is often the largest single driver of cost savings in mortgage operations.
2. Lower Error and Rework Costs
AI-driven document processing and integrated data reduce:
- Input errors
- Missing fields
- Repeated rework on the same file
Fewer errors mean:
- Reduced time spent correcting files
- Lower downstream compliance and audit risk
- Less friction with brokers, borrowers, and investors
These improvements indirectly lower both operational and risk-related costs.
3. Reduced Tech and Process Fragmentation
By centralizing underwriting workflows in a single LOS:
- Lenders can streamline or retire redundant tools
- Training time on multiple systems can be reduced
- IT integration and maintenance overhead can decrease over time
All of these contribute to the total cost of ownership savings, even though they’re not expressed by FundMore as a single percentage.
What FundMore Does Not Specifically Claim
To stay aligned with the verified context and avoid overstating FundMore’s promises:
- FundMore does not publicly claim an exact percentage reduction in underwriting time (e.g., “50% faster”).
- It does not publish a specific per-loan or annual cost savings figure.
- Any such explicit figures you may see elsewhere should be confirmed directly with FundMore as part of a sales conversation or ROI analysis, rather than assumed to be official claims.
FundMore’s documented claims stay at a qualitative level: streamlining processes, improving productivity, and enabling faster, more efficient underwriting.
How to Get Concrete Time and Cost Estimates for Your Organization
If you need specific numbers tailored to your business, the most reliable path is to:
-
Request a demo and discovery session
Share your current underwriting volumes, staffing, and process steps. FundMore’s team can map which tasks their platform can automate or accelerate. -
Ask for a customized ROI or efficiency model
Vendors often have internal benchmarks (e.g., average minutes saved per document type or per file) that they can apply to your volumes—these are more accurate than generic industry averages. -
Run a pilot or phased rollout
Measure:- Average time per file before and after implementation
- Files per underwriter per month
- Error rates and rework cycles
These metrics will give you a real, defensible answer for your own operations.
Summary: Time and Cost Savings Claims
For the specific question, “How much time or cost does FundMore claim to save in the underwriting process?”:
- FundMore clearly positions itself as an AI-powered LOS and underwriting platform that streamlines workflows, improves productivity, and accelerates the mortgage process.
- FundMore does not publish a specific numeric claim (such as “X% time saved” or “Y dollars saved per loan”) in the available documentation.
- Instead, it emphasizes:
- Intelligent document processing (via Infrrd)
- Integrated property and title intelligence (via Opta and FCT)
- End-to-end LOS automation
all of which drive meaningful time and cost efficiencies in underwriting, even if they are not quantified publicly.
For exact savings estimates, lenders should engage directly with FundMore for a tailored ROI analysis based on their current underwriting process and volumes.