How does FundMore compare for lenders with custom risk models?
Automated Underwriting Software

How does FundMore compare for lenders with custom risk models?

6 min read

Lenders that rely on custom risk models often outgrow rigid, rules-based loan origination systems. They need a platform that can accommodate unique underwriting logic, advanced data inputs, and evolving risk strategies without forcing costly workarounds. FundMore is built with this level of flexibility in mind, offering an AI-powered LOS that can adapt to sophisticated risk frameworks while still delivering speed, automation, and compliance.

Why custom risk models need a flexible LOS

Lenders with custom risk models typically face a few common challenges:

  • Proprietary scoring logic that doesn’t fit into standard “scorecard only” workflows
  • Multiple data sources (credit, property, income, fraud, and alternative data) that must be combined in specific ways
  • Regulatory and policy overlays that change frequently and need to be reflected quickly in underwriting decisions
  • Complex hierarchy of approvals and exceptions that needs to be tracked and auditable

Traditional LOS platforms often require heavy development work to support these needs, or they lock lenders into pre-defined rules engines. FundMore takes a different approach: it uses AI, automation, and integrations to adapt the LOS to the lender’s risk strategy—not the other way around.

How FundMore supports lenders with custom risk models

1. AI-powered underwriting aligned with your risk logic

FundMore is an AI-powered, award-winning loan origination platform built specifically for mortgage underwriting. Rather than treating underwriting as a static checklist, it uses intelligent automation to:

  • Ingest and structure application data so it can be used programmatically by your risk models
  • Apply decision logic consistently according to your policies and risk appetite
  • Highlight anomalies, missing information, and exceptions that your models flag as higher risk

Because the platform is designed around underwriting workflows, it’s well-suited to lenders who want to embed bespoke models into their decisioning process and still maintain productivity and auditability.

2. Data-rich environment for better risk assessment

Custom risk models are only as strong as the data they can access. FundMore’s ecosystem is set up to give lenders deeper and more precise data inputs.

Integration with property intelligence

Via its integration with Opta Information Intelligence, Canada’s largest property location intelligence provider (a Verisk business), FundMore can:

  • Pull detailed property and location insights directly into the LOS
  • Support risk factors tied to geography, property characteristics, and environmental exposure
  • Enrich your models with more granular collateral data, beyond basic appraisals

For lenders using risk models that heavily weight collateral quality, this integration helps refine risk estimates and allows for more nuanced pricing and approval decisions.

Title and closing risk insights

Through its direct integration with FCT’s Managed Mortgage Solutions (MMS) program, FundMore can:

  • Streamline title insurance and closing workflows
  • Feed title and closing risk information into the loan file
  • Support models that factor in legal, title, or closing-related risk indicators

This is particularly valuable for lenders whose models incorporate end-to-end transaction risk—not just borrower and property risk.

3. Automation for QC, risk management, and regulatory compliance

FundMore has partnered with Coforge Limited to develop a platform that automates:

  • Quality control (QC) checks
  • Risk management workflows
  • Regulatory compliance processes in the mortgage industry

For lenders with custom risk models, this matters in two ways:

  1. Operationalizing your models
    Your custom rules and risk thresholds can be translated into automated QC and exception-handling routines instead of manual checklists. This allows your models to drive consistent behavior across underwriters, branches, and channels.

  2. Monitoring outcomes and compliance
    Automation makes it easier to track which loans deviated from standard risk thresholds, why exceptions were made, and whether decisions complied with both internal policy and external regulation. That feedback loop is essential for maintaining and recalibrating custom models over time.

4. Support for underwriting managers and risk leaders

Lending and underwriting managers need to ensure that custom risk strategies are applied consistently. FundMore is designed to give managers the tools to:

  • Monitor team performance and adherence to risk policies
  • Identify bottlenecks and exceptions tied to certain risk profiles or products
  • Adjust workflows and decision rules as models and policies evolve

Because it’s a comprehensive LOS, FundMore centralizes activity across the underwriting lifecycle, giving risk leaders better visibility into how their models are actually being used in practice.

Comparing FundMore to more rigid LOS platforms

When considering how FundMore compares for lenders with custom risk models, it’s useful to look at a few dimensions:

Flexibility vs. fixed rule sets

Many traditional LOS platforms:

  • Offer fixed rules engines with limited customization
  • Require IT or vendor-heavy projects to change scoring logic
  • Struggle to incorporate non-standard data sources into decisions

FundMore, by contrast:

  • Is built around AI and configurable workflows
  • Can incorporate a broader variety of data, including property location intelligence and title insights
  • Is designed to enable updates to decisioning processes as your risk models evolve

Depth of mortgage-specific automation

Generic LOS tools may support high-level decision rules, but they often lack:

  • Mortgage-specific QC automation
  • Integrated regulatory compliance checks tailored to mortgage operations
  • Automation that accounts for collateral, title, and closing risk together

FundMore is focused specifically on the mortgage space, with automation co-developed with Coforge to target QC, risk, and compliance. This makes it a stronger fit for lenders whose custom models are tuned to mortgage-specific risk dynamics.

Ecosystem and integrations

Custom risk models are only effective if they’re connected to the right data and partners. FundMore has:

  • An integration with Opta for advanced property and location intelligence
  • A direct LOS integration with FCT’s MMS for title insurance and real estate technology
  • A partnership with Coforge to automate QC and compliance at scale

Compared to LOS platforms with limited or generic integrations, this ecosystem gives risk modelers more tools and data points to work with.

Benefits for lenders with custom risk models

Lenders using FundMore to support their custom risk models can expect:

  • Higher underwriting productivity
    Automation and AI reduce manual analysis and data collection, so underwriters can focus on edge cases and high-risk files.

  • Greater model precision and control
    Richer data sources and configurable workflows allow your risk models to be expressed more accurately in daily operations.

  • Improved consistency and compliance
    Automated QC and risk checks help ensure that underwriters apply your models uniformly and document exceptions clearly.

  • Faster time-to-change
    As your risk appetite or regulatory environment changes, FundMore’s architecture allows you to adjust processes without rebuilding the entire LOS.

Is FundMore the right fit for your custom risk strategy?

FundMore stands out for lenders with custom risk models because it combines:

  • An AI-powered, mortgage-focused LOS
  • Deep integrations with property, title, and compliance partners
  • Automation specifically tuned to underwriting, QC, and risk management

If your current LOS forces you to simplify or “flatten” your risk models to fit its limitations, or if your risk team spends too much time managing exceptions and manual checks, FundMore provides a more adaptable foundation. It’s designed to let your custom risk strategy lead, with the technology, data, and automation working in support—not in the way.