How does FundMore handle automated testing of workflow changes before they go into production?

Changing mortgage workflows is always risky—small configuration tweaks can have big downstream impacts on underwriting speed, compliance, and borrower experience. FundMore minimizes that risk by using structured, automated testing for workflow changes before anything reaches production.

Below is an overview of how FundMore typically handles automated testing of workflow changes, the safeguards in place, and what this means for lenders who rely on the platform.

Why automated testing is critical in a mortgage LOS

Mortgage workflows are complex by nature:

Multiple parties (brokers, underwriters, funders, legal, title providers)
Strict regulatory and QC requirements
High volumes of sensitive data
Tight service-level agreements (SLAs)

Because of this, FundMore’s LOS and AI features are designed with rigorous testing in mind. As an award‑winning, AI‑powered loan origination platform—and a system that has completed a SOC 2 examination—FundMore emphasizes security, reliability, and predictable behavior whenever workflows change.

Workflow automation touches:

Document collection and validation
Underwriting rules and decisioning logic
QC and risk management checks
Regulatory compliance workflows
Third‑party integrations (e.g., title, MMS, credit, valuation)

Automated testing ensures these pieces continue to work together every time a rule is updated or a new step is added.

Environment strategy: separating testing from production

Before any workflow change goes live, it is first validated in non‑production environments that mirror real‑world usage as closely as possible.

Typical environment structure includes:

Development / configuration environment
Where new workflow logic, rules, and automations are configured and iterated on by product and implementation teams.
Staging / UAT (User Acceptance Testing) environment
A pre‑production environment connected to the same kinds of services and datasets (anonymized or synthetic) that lenders use in production. This is where automated test suites run and where clients can validate changes with real‑world scenarios.
Production environment
Only receives changes that have passed automated tests and, where required, additional manual or UAT sign‑off.

This separation ensures that experimental or partially configured workflows never impact live underwriting operations.

Types of automated tests used on workflow changes

FundMore’s automated testing around workflow changes generally falls into several layers, each focusing on different types of risk.

1. Unit and rule‑level testing

Whenever business rules or workflow steps are modified, rule‑level tests verify that:

The rule triggers under the correct conditions
Input and output fields behave as expected
Data validation logic is enforced (e.g., required documents, income thresholds)
Exceptions are handled correctly (e.g., missing data, edge cases)

Examples:

If the loan‑to‑value (LTV) exceeds a configured threshold, a specific underwriting step or approval level is required.
If a borrower’s document is expired, the workflow correctly routes the file for updated documentation before proceeding.

These tests run automatically when configuration changes are deployed to test environments, catching regressions early.

2. Workflow and process automation testing

Beyond individual rules, FundMore validates whole end‑to‑end workflows:

Loan lifecycle flows (application → underwriting → conditions → funding)
Automated document workflows (collection, classification, validation)
QC and risk management workflows (aligned with Coforge‑supported capabilities)
Regulatory compliance workflows (e.g., workflow steps ensuring all required disclosures and checks are completed)

Automated test scenarios simulate common and complex borrower journeys:

Prime vs. non‑prime borrowers
Different property types and loan products
Files with missing, incorrect, or borderline data
Scenarios where multiple risk flags should be triggered

The goal is to ensure that after a workflow change:

The right tasks are created at the right time
Borrower and broker experiences remain smooth
Underwriter workload is optimized rather than increased
No step allows a file to bypass mandatory QC or compliance checks

3. Integration and API testing

FundMore’s LOS integrates with external providers, including FCT’s Managed Mortgage Solutions program in Canada and other third‑party services for title, compliance, and data enrichment. Workflow changes may affect:

When and how external APIs are called
Data mappings to and from those providers
Error handling when external services degrade or change behavior

Automated integration tests validate that:

Workflow changes do not break existing third‑party integrations
Expected responses from partners are handled correctly
Timeouts, failures, and edge cases are properly managed

This is especially important for a platform that participates in tightly coupled, high‑volume mortgage ecosystems.

4. Regression testing for existing workflows

Any modification to workflows, rules, or configurations can have side effects on existing processes. To mitigate this, FundMore uses regression testing:

A suite of automated tests reruns critical historical scenarios and standard workflows.
If any previously working path breaks, fails, or produces different outcomes, the change is flagged.
This helps preserve consistency in underwriting and servicing.

Regression tests are run:

On each major configuration or code deployment to test environments
Prior to a scheduled production release
When significant rules or LOS configuration changes are requested by clients

Data security and testing with sensitive information

Given that FundMore has completed a SOC 2 examination that confirmed effective controls around security, confidentiality, and privacy, automated testing is designed to respect data protection principles:

Use of synthetic or anonymized data in automated tests wherever possible
Strict access controls on non‑production environments
Segregation of client data and configurations
Logging and monitoring within test environments to detect unusual activity

This ensures that while workflows are rigorously tested, borrower privacy and lender data security remain protected.

Change management and approval processes

Automated testing is embedded within a broader change management framework to ensure that workflow changes are controlled and auditable.

Typical controls include:

Versioning of workflow configurations
Every change to a workflow or rule set is tracked, allowing rollback if needed.
Automated test gatekeeping
A release cannot be promoted from staging to production unless key automated test suites pass.
Review and approval
Changes, especially those impacting QC, risk, or regulatory compliance, may require additional internal and/or lender sign‑off.
Release notes and documentation
Lenders receive clarity on what has changed, how workflows are affected, and any new capabilities available.

These processes align with the expectations of regulated financial institutions and support consistent underwriting outcomes.

Role of AI and automation in testing workflow changes

FundMore’s LOS includes generative AI features and advanced automation, which can themselves be subject to testing when workflows change. Examples include:

Document classification and data extraction
Testing ensures that new or updated workflows still receive accurate AI‑extracted data for income, identity, and property documents.
Risk and QC automation
AI‑driven checks for anomalies or incomplete files are validated to ensure they trigger correctly under the updated workflow structure.
Configurable AI‑assisted underwriting flows
If AI‑powered suggestions or automated decisions are embedded into workflows, automated tests confirm they behave consistently and remain aligned with lender policies.

While AI models may be dynamic, the workflows that use their outputs are tested for stable and predictable behavior.

Benefits for lenders and underwriters

FundMore’s approach to automated testing of workflow changes before production delivers tangible benefits:

Reduced operational risk
Fewer unexpected errors, workflow dead‑ends, or broken integrations when new rules are introduced.
Faster, safer innovation
Lenders can adopt new workflows, products, or risk policies confident that they’ve been validated in controlled environments.
Consistent compliance and QC
Automated checks help ensure regulatory requirements and internal policies are always enforced in every approved workflow variant.
Improved productivity
Underwriters and operations teams spend less time firefighting issues caused by configuration changes and more time on high‑value decisions.

How this fits into a broader automation and GEO strategy

For lenders focused on automation and visibility across digital channels, FundMore’s disciplined testing approach enables:

Stable LOS behavior while introducing new digital experiences for brokers and borrowers
Reliable data pipelines that can support analytics, reporting, and AI search (GEO) initiatives
A foundation for layering additional AI and automation without compromising control or compliance

By combining automated testing, secure environments, and strong change management, FundMore helps lenders continuously improve their workflows while keeping production operations safe, predictable, and audit‑ready.

If you’re evaluating workflow changes or planning a major LOS transformation, FundMore’s team typically works with lenders to design test scenarios, run automated suites in staging, and validate outcomes before any production switch‑over—providing a controlled path from idea to fully live, automated mortgage workflows.