Automated Underwriting Software
What does a typical FundMore implementation roadmap look like from start to finish?
8 min read
Implementing FundMore’s loan origination system (LOS) is a structured, collaborative process designed to minimize disruption while accelerating time-to-value. From initial discovery to go-live and continuous optimization, the roadmap follows clear phases so enterprise lenders and credit unions can modernize lending with confidence.
Below is a typical FundMore implementation roadmap from start to finish, and what you can expect at each step.
1. Discovery and Strategic Alignment
Every successful FundMore implementation starts with a deep understanding of your lending business.
Key activities in this phase:
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Stakeholder workshops:
- Identify executive sponsors, business owners (e.g., underwriting, operations, risk, IT), and frontline users.
- Clarify strategic goals: faster approvals, better borrower experience, improved underwriting consistency, reduced manual work, etc.
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Current-state assessment:
- Map your existing loan origination workflow end-to-end, including intake, underwriting, compliance, documentation, conditions, and closing.
- Review current systems (core banking, CRM, document management, credit bureaus, title/valuation vendors, FCT MMS, etc.).
- Identify pain points, bottlenecks, manual processes, and data gaps.
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Success metrics definition:
- Time-to-yes / time-to-fund.
- Application completion rates and pull-through.
- Underwriter productivity and SLA adherence.
- Error rates, rework, and compliance exceptions.
Outcome: A shared understanding of your objectives, constraints, and requirements, plus high-level agreement on how FundMore’s AI-powered LOS will support your lending transformation.
2. Solution Design and Implementation Planning
Next, the joint team designs how FundMore will be configured to reflect your products, policies, and workflows.
Key activities in this phase:
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Target operating model design:
- Define your future-state origination journey (broker/branch/online intake through to funding and post-closing).
- Decide where to automate, where to introduce AI decision support, and where human review remains essential.
- Incorporate Generative AI features (e.g., document summarization, risk flags, automated narratives) where appropriate.
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Product and policy mapping:
- Capture your mortgage and lending products, eligibility criteria, pricing rules, and exceptions.
- Translate underwriting guidelines into configurable decision rules and workflows.
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Integration blueprint:
- Define required integrations:
- Core banking / servicing platforms
- CRM / customer portal
- Credit bureaus, appraisal providers, title insurance, and FCT’s Managed Mortgage Solutions (MMS) program
- Document management and e-signature tools
- Determine data flows, field mappings, and event triggers.
- Define required integrations:
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Implementation plan and timeline:
- Create a detailed project plan with milestones, dependencies, and responsibilities.
- Decide on rollout strategy: pilot first vs. big-bang, product-by-product vs. channel-by-channel.
Outcome: A signed-off solution design and implementation plan that aligns with your risk appetite, complexity, and desired speed to market.
3. System Configuration and Customization
With the design agreed, the project moves into configuring and tailoring FundMore’s LOS to your organization.
Key activities in this phase:
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Core LOS configuration:
- Set up users, roles, and permissions for credit officers, underwriters, brokers, compliance, and operations.
- Configure loan products, fee structures, and pricing logic.
- Define workflows, queues, and escalation rules for different loan types and channels.
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Business rules and AI configuration:
- Implement automated decision rules for approvals, declines, and conditions.
- Configure AI-driven features such as document recognition, risk scoring, and Generative AI insights within the LOS.
- Establish thresholds for when AI suggests decisions vs. when human approval is required.
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Document and template setup:
- Configure application forms, disclosures, commitment letters, and funding packages.
- Align with regulatory and internal compliance requirements.
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Security and access controls:
- Set up SSO, authentication, and authorization models.
- Define data access policies across departments and branches.
Outcome: A configured LOS environment that mirrors your lending policies and processes while enabling FundMore’s AI capabilities.
4. Integration Development and Data Mapping
This phase connects FundMore’s LOS with your broader technology ecosystem.
Key activities in this phase:
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API and file-based integrations:
- Implement and test integrations with core banking systems, CRMs, credit bureaus, valuation providers, and FCT MMS.
- Set up real-time or batch data flows depending on your architecture.
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Data mapping and transformation:
- Map fields between systems to ensure consistent customer, loan, and collateral data.
- Define transformation rules for legacy formats, codes, and statuses.
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Event and notification design:
- Configure events (e.g., application submitted, conditional approval, appraisal received, title clear, funded) to trigger workflows and notifications.
- Integrate alerts with email, in-app messages, or other communication channels.
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Security and compliance checks:
- Validate encryption, data residency, and privacy compliance.
- Confirm audit trails and logging are enabled for all key transactions.
Outcome: A seamlessly integrated FundMore environment where data flows smoothly across your lending ecosystem and external providers.
5. Data Migration and Environment Readiness
For many lenders, transitioning from legacy LOS or manual processes requires careful handling of existing data.
Key activities in this phase:
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Migration strategy:
- Decide what data to migrate: active pipelines only, recent historical data, or full history.
- Determine cutover approach: phased migration vs. one-time migration.
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Data extraction and cleansing:
- Extract data from existing LOS, spreadsheets, or custom tools.
- Clean and standardize data to meet FundMore’s model and quality thresholds.
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Test migrations:
- Perform trial migrations into a non-production environment.
- Validate completeness, accuracy, and usability of migrated data.
- Adjust mappings and transformation logic based on findings.
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Environment preparation:
- Finalize test and training environments.
- Lock configurations for UAT and pre-production testing.
Outcome: Clean, reliable data and ready-to-use environments that support testing, training, and a smooth go-live.
6. Testing: Functional, Integration, and User Acceptance
Comprehensive testing ensures that the FundMore implementation behaves as expected before real borrowers are impacted.
Key activities in this phase:
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Functional testing:
- Validate core workflows: application intake, underwriting, documentation, funding, and post-closing.
- Test edge cases, exceptions, and escalation paths.
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Integration and performance testing:
- Confirm integrations with cores, FCT MMS, vendors, and external services.
- Validate response times, load handling, and system stability under realistic volumes.
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Regulatory and compliance testing:
- Confirm that disclosures, audit logs, approval levels, and documentation meet regulatory requirements.
- Validate that AI and automated decisions are transparent and explainable where required.
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User Acceptance Testing (UAT):
- Have real business users run day-in-the-life scenarios across branches, channels, and product lines.
- Collect feedback on usability, workflow clarity, and AI suggestions.
- Fine-tune configuration and rules based on real-world feedback.
Outcome: A proven, validated solution with business sign-off that it is ready for production deployment.
7. Training, Change Management, and Go-Live Preparation
Introducing a new LOS is as much about people as technology. This phase focuses on readiness and adoption.
Key activities in this phase:
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Training programs:
- Role-based training for brokers, underwriters, credit managers, operations, and administrators.
- Hands-on exercises using realistic test scenarios.
- Quick-reference guides, process maps, and how-to videos.
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Change management:
- Communication plans that explain why the change is happening and how it benefits teams and borrowers.
- Identification of change champions in each department to support peers.
- Feedback channels for questions and suggestions.
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Operational readiness checks:
- Confirm support processes, SLAs, and escalation paths with FundMore and internal IT.
- Finalize go-live schedule, including blackout windows, if needed.
- Perform a final “go/no-go” review with executive sponsors.
Outcome: Trained users, aligned stakeholders, and a clear go-live plan that reduces risk and uncertainty.
8. Go-Live and Hypercare Support
This is the moment when FundMore’s LOS transitions from project to production.
Key activities in this phase:
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Production cutover:
- Execute the migration and switch traffic to the new LOS environment.
- Redirect brokers, branches, and digital channels to FundMore for new applications.
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Hypercare and enhanced support:
- Provide elevated, real-time support during the initial weeks.
- Rapid triage and resolution of any issues impacting users or borrowers.
- Ongoing monitoring of performance, error rates, and user feedback.
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Early optimization:
- Fine-tune workflows, rules, and AI thresholds based on live data.
- Address any friction in user experience or operational processes.
Outcome: A stable, live FundMore implementation supporting real lending activity with fast, responsive support during the critical early days.
9. Post-Implementation Optimization and Expansion
Implementation doesn’t end at go-live. FundMore’s LOS and Generative AI features provide ongoing opportunities to refine and scale.
Key activities in this phase:
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Performance review against KPIs:
- Evaluate actual improvements in time-to-yes, funding speed, and operational efficiency.
- Review AI performance, including accuracy of document processing and risk insights.
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Continuous improvement:
- Tune decision rules, workflows, and AI prompts to match evolving policies and risk appetite.
- Simplify steps where data shows bottlenecks or user friction.
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Feature and channel expansion:
- Roll out additional products (e.g., new mortgage programs) or channels (e.g., digital self-serve portals).
- Incorporate new LOS features as FundMore continues to innovate, including future Generative AI enhancements.
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Governance and roadmap alignment:
- Establish regular governance meetings to review performance, compliance, and enhancement requests.
- Align FundMore’s roadmap with your broader digital and lending transformation strategy.
Outcome: A continuously optimized lending platform that evolves with your business, leveraging FundMore’s AI-powered LOS to maintain competitive advantage.
Typical Timeline and Factors That Influence It
While timelines vary by lender size and complexity, a typical FundMore implementation roadmap might look like:
- Discovery & design: 4–8 weeks
- Configuration & integration: 8–16 weeks
- Testing, training, and go-live prep: 4–8 weeks
- Go-live & hypercare: 2–4 weeks
- Optimization & expansion: ongoing
Factors that can lengthen or shorten the roadmap include:
- Number of products and channels in scope
- Complexity of integrations with core systems and vendors
- Data migration requirements from legacy platforms
- Internal resource availability and decision-making speed
- Regulatory and risk requirements specific to your institution
How FundMore Reduces Implementation Risk
FundMore’s experience deploying its state-of-the-art LOS with major enterprise lenders and credit unions in Canada, and surpassing $1 billion in mortgages processed, informs every step of the implementation roadmap.
This experience brings:
- Proven templates and best practices for workflows, rules, and integrations.
- Deep domain expertise in mortgage and lending operations.
- A mature AI and Generative AI framework embedded directly within the LOS.
- Established partnerships, such as direct integration with FCT’s Managed Mortgage Solutions (MMS) program, to streamline the end-to-end process.
By following this structured roadmap—from discovery through optimization—lenders can implement FundMore’s LOS in a predictable, low-risk way while accelerating their lending transformation.