Dynamic Fields in Loan Origination

Building for Dynamism in Lending: Moroku’s Roadmap for Custom Field Configuration

The world of loan origination is evolving rapidly, with lenders facing an ever-shifting landscape of compliance, products, and customer expectations. To succeed, lending platforms must offer structured dynamismthe ability to adapt quickly without sacrificing governance, scalability, or security.

At Moroku, we’re leaning into this need by enhancing Moroku Lending to allow clients to create and configure their own data fields, without relying on vendors or developers for every update. This blog outlines why this flexibility matters, how low-code platforms pitch it, and our high-code roadmap to deliver it, with the rigour required in regulated financial environments.

Why Dynamism Matters in Loan Origination

Lenders need to adjust field requirements frequently due to:

  • Regulatory changes: New mandates around ESG disclosures, KYC elements, or PEP status
  • Product innovation: Launching niche offerings like livestock finance or reverse mortgages
  • Channel specificity: Brokers vs direct users may require tailored forms
  • Operational agility: Rapid iteration without slow vendor cycles

Low-code/no-code platforms often advertise this as drag-and-drop freedom, empowering business users to add fields quickly. But this comes at a cost: schema fragmentation, limited auditability, and lack of CI/CD test coverage.

Moroku takes a different approach, balancing agility with integrity.

 Moroku’s Approach: Extensible, Governed Flexibility

We’re delivering this capability through two key design patterns:

1. Dynamic Field Registry

A metadata-driven registry allows clients to define custom fields at runtime with:

  • Field ID, label, type, and validation rules
  • Role-, product-, and workflow-based visibility
  • JSON or metadata-backed storage
  • UI rendering and API exposure without schema changes

Perfect for fast-moving product teams who need configuration without engineering overhead.

2. Extensible Data Models

As custom fields stabilise and become analytics-critical, they’re promoted into the core schema:

  • Indexed database columns
  • CI/CD-managed migrations
  • API-first exposure for integrations
  • Mambu-compatible payload generation

This ensures long-term performance, traceability, and servicing readiness.

Roadmap for Delivery

Here’s how we’ll roll this out across Moroku Lending:

PhaseDescription
Phase 1 – Registry LaunchAdmin config screen for defining runtime fields, scoped by product and user role
Phase 2 – UI & API IntegrationDynamic rendering of custom fields across portals and checklist workflows
Phase 3 – CI/CD GovernanceAutomated test coverage, staging validation, and change control workflows
Phase 4 – Schema Promotion PathwayPromote high-value fields into extensible data models for analytics and compliance
 Phase 5 – Core IntegrationMap and transmit custom data to core systems, priortising Mambu for servicing, audit, and collateral tracking

This phased strategy ensures that lenders have both agility at the edge and rigour at the core.

Why Moroku’s Approach Beats Low-Code/No-Code Alternatives

Low-code/no-code platforms often promote drag-and-drop field creation and form customisation as a key selling point. While this appeals to fast-moving fintechs, it comes with serious trade-offs:

Limitations of Low-Code/No-Code Platforms

  • Lack of CI/CD Governance
    Changes to forms and fields are often made outside of structured pipelines, risking regressions and compliance breaches.

  • Schema Fragmentation
    Ad hoc field creation can lead to inconsistent data models, making analytics and integrations brittle or unreliable.

  • Limited Auditability
    Field changes may not be version-controlled or traceable, creating gaps in regulatory reporting and servicing history.

  • Security Risks
    Without strict role-based access and validation logic, sensitive data may be exposed or mishandled.

These platforms, while flexible, often sacrifice rigour, traceability, and enterprise-grade control in favour of speed.

Moroku’s High-Code Advantage

By combining dynamic field registries with extensible data models, Moroku delivers:

  • Runtime flexibility with structured governance
  • CI/CD validation for every field change
  • Audit trails and role-based access baked into the platform
  • Promotion pathways from metadata to schema for long-term stability

This means lenders can move fast without breaking things, a critical capability in regulated environments.

Moroku’s roadmap isn’t just about adding flexibility, it’s about doing it right. By embedding field configuration into our CI/CD pipelines, validation logic, and integration layers, we ensure that lenders can adapt quickly and safely.

This is the future of composable lending: agile at the edge, rigorous at the core.

In a world where financial institutions must move fast, but stay compliant, Moroku is building the tooling to make dynamism safe. With our combination of dynamic field registries and extensible data models, clients can configure workflows, products, and forms with confidence.

Ready to future-proof your lending operations with flexibility and control?

Let’s build it together