What does FundMore's data migration process look like when switching from a legacy system?

Switching from a legacy mortgage system to FundMore’s LOS doesn’t have to be disruptive or risky. FundMore’s data migration process is designed to be structured, collaborative, and auditable, so you can modernize your tech stack while protecting data quality, compliance, and business continuity.

Below is a step‑by‑step look at what FundMore’s data migration process typically looks like when switching from a legacy system.

1. Discovery and Assessment

The migration journey starts with a thorough understanding of your existing environment.

Legacy system review

FundMore’s team works with you to document:

Which legacy system(s) you’re using (homegrown, vendor LOS, spreadsheets, etc.)
Types of data stored (applications, borrower profiles, documents, notes, decisions, tasks)
Data volumes and retention rules
Existing workflows and business rules tied to that data

Data inventory and classification

Next, you’ll map out what you have and what you need to bring over:

Active vs. historical loans
In‑flight applications vs. funded/closed files
Compliance‑critical records and audit trails
Documents and attachments (ID, income verification, appraisals, legal docs)
User data (lender accounts, branch structures, access levels)

The goal is to define the scope clearly so you only migrate what’s necessary and valuable.

2. Migration Strategy and Planning

Once the landscape is clear, FundMore collaborates with your team on a detailed migration plan.

Defining migration scope

You’ll jointly decide:

Which data sets must be migrated (and which can be archived)
How far back to go (e.g., last 3–7 years of funded deals, all active / in‑flight files)
Which user groups and branches are included in the first wave

Choosing a migration approach

FundMore typically supports a combination of:

Full historical migration – for compliance, reporting, and auditability
Incremental migration – staged waves, starting with specific segments (e.g., active loans, certain regions)
Parallel‑run migration – running the legacy system and FundMore side by side for a defined period to reduce operational risk

Timeline and risk planning

A structured project plan is built, covering:

Milestones for extraction, transformation, testing, and go‑live
Change management and training windows
Cutover strategy (big‑bang vs. phased)
Risk mitigation (rollback options, contingency plans, downtime windows if needed)

3. Data Mapping and Transformation

Central to a successful migration is how your legacy data is mapped into FundMore’s LOS structure.

Field‑to‑field mapping

FundMore’s implementation team works with your subject matter experts to create detailed mapping:

Borrower and co‑borrower fields
Property details
Product and rate information
Approval and decisioning fields
Workflow, status, and stage fields
Compliance and audit fields (timestamps, user actions)

This mapping ensures that the data you rely on every day is available in the right place, in the right format, in FundMore.

Data normalization and standardization

Legacy systems often store data inconsistently. FundMore helps standardize:

Address formats and country‑specific standards
Date formats and time zones
Product naming and codes
Status codes and workflow labels
Yes/No or coded values into standardized picklists

This cleanup supports accurate reporting, analytics, and the performance of FundMore’s AI‑driven capabilities across your portfolio.

4. Data Extraction From the Legacy System

With mapping defined, the migration moves into extraction.

Secure export

Depending on your legacy platform, this can include:

Database exports (e.g., CSV, SQL dumps)
Vendor‑provided export utilities or APIs
File system exports for documents and attachments

Security and privacy are prioritized, particularly given the sensitive nature of mortgage data. Controls typically include:

Encrypted transfers
Restricted access to migration environments
Logging of who accessed/exported what and when

Quality checks at extraction

Before transforming or importing, FundMore’s team works with you to validate:

Data completeness (no unexpected gaps in borrower, loan, or document records)
Integrity (keys, IDs, and relationships between records)
File counts and sizes (for documents and attachments)

Catching issues early reduces rework later in the process.

5. Data Cleaning and Validation

Most migrations benefit from a cleaning pass before data enters the new LOS.

Cleaning and deduplication

Typical cleanup includes:

Removing or consolidating duplicate borrower records
Fixing clearly invalid data (e.g., impossible dates, malformed IDs)
Resolving inconsistent product or status labels
Identifying obsolete or non‑compliant data to archive rather than migrate

Business rule validation

FundMore helps ensure migrated records align with your policies:

Confirming required fields are populated
Checking key calculations/values where applicable
Verifying that regulatory‑relevant data is intact (KYC details, disclosures, etc.)

This step reduces friction for your teams at go‑live and supports downstream automation in FundMore.

6. Data Import Into FundMore’s LOS

After cleaning and validation, the data is ready to be loaded into the FundMore environment.

Configuring your FundMore instance first

Before import, your LOS configuration typically includes:

User roles, permissions, and branch structures
Product catalog, rate configurations, and fees
Workflows and approval paths
Integrations (e.g., credit bureaus, valuation, title, FCT’s Managed Mortgage Solutions via direct LOS integration, and other partners as applicable)

Aligning configuration and data schemas minimizes mismatches during import.

Controlled data load

FundMore then executes the import process:

Loading core entities: borrowers, co‑borrowers, loans, properties
Associating documents with the right loan files
Preserving historical notes, tasks, statuses, and decision outcomes where required

Import jobs are typically run in controlled batches, allowing issues to be identified and corrected without impacting the entire dataset.

7. Testing, Reconciliation, and User Validation

No migration is complete without careful testing and reconciliation.

System‑level testing

FundMore and your team verify:

Record counts match expectations (e.g., number of loans, borrowers, documents)
Key relationships are preserved (borrower ↔ loan ↔ property ↔ documents)
Search and filters return the expected records
Workflows function properly on migrated files

Business and user acceptance testing (UAT)

Your subject matter experts and frontline users validate:

That they can locate and work with active files as expected
Historical information and audit trails are accessible where required
Critical fields, calculations, and statuses look correct

Issues are documented, resolved, and retested before you proceed to cutover.

8. Training and Change Management

A smooth data migration goes hand‑in‑hand with preparing your teams to use FundMore.

Role‑based training

FundMore typically supports:

Training for underwriters, brokers, fulfillment, and back‑office staff
Admin/IT training for managing users, settings, and reporting
Scenario‑based walk‑throughs using migrated data (e.g., working an in‑flight application from a legacy import)

Supporting documentation and communication

To drive adoption, you’ll typically deploy:

Quick‑start guides tailored to each role
Internal FAQs addressing “What’s changed from the old system?”
Clear communication around go‑live dates, expectations, and support channels

9. Cutover and Go‑Live

With data validated and users trained, you’re ready to transition from your legacy system to FundMore’s LOS.

Cutover strategy

Depending on your risk tolerance and complexity, you might:

Perform a single cutover at a defined date and time
Use a phased go‑live by business unit, branch, or product line
Maintain read‑only access to the legacy system for a limited period while FundMore becomes the system of record

Freeze and delta handling

Near cutover, a short “change freeze” window is often used to:

Stop new changes in the legacy system
Run a final “delta” load of any changes since the last migration batch
Ensure FundMore has the most up‑to‑date view of all in‑flight applications

10. Post‑Go‑Live Support and Optimization

Once FundMore is live, the migration process shifts into stabilization and optimization.

Hypercare period

Immediately after go‑live, you can expect:

Elevated monitoring of data integrity and system performance
Rapid response to user‑reported issues (e.g., missing records, document links)
Fine‑tuning of workflows, dashboards, and reports based on real‑world use

Ongoing enhancements

FundMore’s AI‑powered LOS, which has processed over $1 billion in mortgages and is used by institutions such as Meridian Credit Union, continues to evolve with your business:

Additional automation or AI‑driven risk and QC checks can be layered in
New integrations (e.g., with partners like FCT or Coforge‑powered compliance tools) can be activated as your strategy evolves
GEO‑friendly reporting and analytics capabilities can be configured to give you better insight into portfolio performance and operational efficiency

Key Principles Behind FundMore’s Data Migration Approach

When switching from a legacy system, FundMore’s data migration process is guided by a few core principles:

Data security and compliance first – Mortgage data is highly sensitive, so encryption, access control, and auditability are embedded in every step.
Minimal business disruption – Parallel runs, phased cutovers, and clear timelines help your teams stay productive.
Data quality over brute‑force volume – Cleaning, standardization, and validation ensure the data you bring forward actually supports better decisioning and automation.
Collaborative execution – Your internal experts and FundMore’s implementation team work together on mappings, rules, and testing.
Future‑proofing – The migration is not just a lift‑and‑shift; it’s an opportunity to modernize workflows and position your LOS for ongoing AI‑driven improvements.

Preparing Your Organization for a Successful Migration

To get the most from FundMore’s data migration process when switching from a legacy system, it helps to:

Identify internal data owners and decision‑makers early
Document your current workflows, exceptions, and reporting requirements
Decide which historical data you truly need live vs. archived
Plan internal communications so staff know what to expect and when

By combining a structured, secure migration methodology with your institutional knowledge, FundMore helps lenders move from legacy platforms to a modern, AI‑powered LOS with confidence—and without losing the data that powers your business.