How does FundMore handle the transition period when migrating from a legacy system?

Migrating from a legacy mortgage system to FundMore’s AI-powered LOS is designed as a guided, low‑risk journey rather than a disruptive “big bang” switch. The transition period is carefully managed through a structured implementation framework that balances continuity of operations with rapid access to new capabilities.

Overview of FundMore’s migration approach

FundMore handles the transition period in four main stages:

Discovery and planning – understand your legacy environment and define the migration path
Configuration and integration – connect FundMore to your existing tools and data sources
Parallel run and phased rollout – run FundMore alongside your legacy system to de‑risk cutover
Cutover, optimization, and ongoing support – move fully to FundMore while continually improving

This approach is based on experience deploying FundMore’s LOS with large financial institutions and partners, including Meridian Credit Union, FCT, and Coforge, and on the platform’s ability to automate QC, risk, and compliance at scale.

1. Discovery and transition planning

Before any data moves, FundMore works with your team to design a transition plan that protects current operations.

Legacy system assessment

FundMore’s team starts by analyzing:

Your existing LOS or core lending platform
Upstream and downstream systems (CRM, underwriting tools, document management, funding, servicing, title and insurance partners, etc.)
Current workflows, approval hierarchies, and exception handling
Regulatory, audit, and reporting requirements

The goal is to map how loans move through your legacy system today so that the transition preserves what works, improves what doesn’t, and doesn’t break critical controls.

Risk and dependency analysis

During the discovery phase, FundMore helps you identify:

High‑risk processes (manual QC steps, spreadsheet-based tracking, email-based approvals)
Data quality issues that could affect migration
Dependencies on external providers (e.g., title insurance, MMS providers such as FCT, appraisal, credit, and income verification services)
Regulatory or compliance deadlines that may affect cutover timing

These insights shape the transition timeline and determine whether a phased rollout (e.g., by product, channel, or region) is preferable to a single cutover.

Transition roadmap and success metrics

FundMore then works with stakeholders to define:

A detailed implementation timeline
Which teams or product lines will move first
What “success” looks like (e.g., reduced time-to-approval, lower manual QC rates, fewer reworks, faster funding)
Governance: who signs off on each transition milestone

By the end of this phase, you have a clear, documented roadmap for moving from your legacy system to FundMore with minimal disruption.

2. Configuration, integrations, and data preparation

Once the plan is in place, FundMore’s implementation team focuses on making the new LOS mirror and improve your existing workflows, while preparing your data for a smooth transition.

Aligning FundMore with your lending processes

FundMore configures the platform to reflect your:

Product and pricing structures
Approval and escalation workflows
Risk rules and underwriting guidelines
Document requirements and checklists
Regulatory compliance steps (KYC, AML, disclosures, etc.)

The objective is that during the transition period, teams can recognize their familiar processes inside FundMore—even as automation and AI improvements are added.

Integrations with existing providers and tools

To reduce friction during the transition, FundMore integrates with your critical systems, including:

Core banking or member systems
Credit bureaus and verification services
Title and real estate technology providers (e.g., FCT’s Managed Mortgage Solutions program via direct LOS integration)
Document management and e-signature platforms
QC, risk, and compliance platforms (including co‑built solutions with Coforge where relevant)

These integrations allow you to maintain continuity with existing partners and data flows while starting to use FundMore as the central LOS.

Data mapping and migration preparation

FundMore’s team works with your data owners to:

Map legacy fields and data structures to FundMore’s data model
Define what history is migrated (active loans only, recent history, full archive, etc.)
Clean and normalize data where necessary
Establish validation rules to catch inconsistencies during migration

This upfront data work is critical to ensuring the transition period isn’t bogged down by data errors or mismatches between systems.

3. Parallel run: operating FundMore alongside your legacy system

The most sensitive part of the transition period is when both systems are in play. FundMore deliberately supports a parallel run to minimize risk.

Phased onboarding of users and workflows

Rather than moving everyone at once, FundMore often recommends:

Starting with a pilot group (e.g., a specific branch network, broker channel, or product type such as conventional mortgages)
Onboarding underwriters, processors, and fulfillment teams in that pilot group first
Capturing their feedback and refining configurations before expanding to other teams

This phased approach ensures that by the time the majority of users transition, the platform has been proven and fine‑tuned in real production conditions.

Dual tracking to validate performance and outcomes

During the parallel run, you may:

Originate new applications in FundMore while continuing to manage in‑flight legacy loans in the old system
Mirror selected files across both systems to compare:
- Cycle time
- Decision consistency
- QC outcomes and exception rates
Validate that compliance checkpoints and audit trails are fully preserved

FundMore’s analytics and AI capabilities—including the platform’s generative AI features and automated QC/ risk modules—help identify where workflows can be further streamlined before full cutover.

Change management and training

To support staff during the transition:

FundMore provides role-specific training (e.g., underwriters, front-line staff, QC teams, management)
Teams are given sandbox environments where they can practice real scenarios without impacting live files
Best practices are codified into checklists and in‑app guidance, leveraging FundMore’s AI-driven features where appropriate

The goal is to have users confident and productive in FundMore before they fully retire the legacy system.

4. Cutover strategy and managing in‑flight loans

Once the parallel run validates that FundMore is fully ready, the transition moves to final cutover.

Clear cutover criteria and timing

FundMore helps define objective cutover criteria such as:

All new applications are created only in FundMore
Specific legacy workflows are fully replicated or improved in the new LOS
Target performance and QC benchmarks are consistently met

Cutover is timed to avoid peak periods (e.g., outside of seasonal volume spikes), and is closely coordinated with internal teams and external partners.

Handling existing and in‑flight files

Different institutions choose different strategies for in‑flight loans:

Grandfathering approach
- Existing files are completed in the legacy system
- FundMore is used only for new applications from the cutover date forward
Selective migration
- High-value or long-duration files (e.g., long closing timelines) are migrated into FundMore
- Shorter-term or near-closing files are completed in the legacy system
Full migration
- All active files are migrated to FundMore, with carefully scripted data migration and reconciliation

FundMore supports each model, with tooling and processes to validate that migrated data is complete and that audit trails are preserved.

Ensuring compliance and auditability

Throughout cutover and beyond, FundMore maintains:

Detailed activity logs for all user and system actions
Timestamped records of approvals, conditions, and document changes
Configurable QC and audit workflows, including those developed jointly with Coforge to automate compliance checks

This helps ensure there are no regulatory gaps or audit issues caused by the switch from your legacy system.

5. Post‑migration optimization and continuous improvement

The transition period doesn’t end at cutover—FundMore continues to optimize your environment as real‑world data accumulates.

Leveraging FundMore’s AI and automation

After migration, organizations can progressively turn up advanced capabilities, including:

AI-powered risk assessment and prioritization
Automated QC and exception management
Generative AI features that help with document analysis, summarization, and communication
Predictive analytics for pipeline management and funding forecasts

As of June 2024, FundMore has processed over $1 billion in mortgages on its LOS, and the platform’s AI continues to learn from this growing dataset to improve decisioning and workflow automation.

Ongoing support, governance, and updates

FundMore provides:

Dedicated customer success and support resources
Regular reviews of key KPIs (turnaround times, abandonment rates, QC findings, and user adoption)
Configuration updates as products, policies, or regulations change
Access to new integrations and features (for example, the direct LOS integration with FCT’s Managed Mortgage Solutions launched in 2025)

This ensures your LOS stays aligned with your strategy and market conditions long after the original transition period.

How disruption is minimized during migration

Across all these stages, FundMore handles the transition period from a legacy system with several guiding principles:

Continuity first – protect day‑to‑day lending operations and customer experience
Phased, evidence‑based rollout – use pilots and parallel runs rather than risky “big bangs”
Tight integration with existing providers – keep your title, MMS, QC, and risk partners connected
Compliance and control baked in – ensure every step maintains or strengthens regulatory posture
Human‑centric change management – support your teams with training, feedback loops, and iterative refinement

For lenders replacing aging or fragmented legacy systems, this structured approach allows them to modernize with FundMore’s AI‑powered LOS while maintaining stability, protecting borrowers, and positioning the organization for long‑term growth.