CASE STUDY / 06 / FULL-STACK · VRM

RFI Forms System

Request for Information engine with auto-save, JSON form rendering, onboarding, and pre-fill support. Integrated into the VRM platform.

BACK TO PROJECTS
Clean desk with paperwork representing the RFI Forms System project.

CHALLENGE

Information collection from vendors was repetitive and error-prone, slowing down risk onboarding.

CONSTRAINTS

  • - Long multi-step forms with partial progress requirements.
  • - Need for reusable schema model across varied vendor profiles.
  • - Tight coupling with existing VRM workflows and permissions.

ARCHITECTURE CHOICES

  • - Adopted JSON-based schema rendering with reusable field adapters.
  • - Implemented optimistic auto-save and safe restore behavior.
  • - Added onboarding and prefills to reduce initial user effort.

TRADE-OFFS

  • - Higher initial engine setup cost to unlock long-term flexibility.
  • - Focused on dependable form state recovery over flashy interactions.

OUTCOME

  • - Reduced repeated data entry and improved submission consistency.
  • - Integrated smoothly into the broader vendor assessment pipeline.

INTERACTIVE ARCHITECTURE VIEW

Explore the architecture decisions behind this project. Click through each block to inspect the underlying layers.

RFI Intake Flow

End-to-end form journey with schema rendering, auto-save, and review handoff.

Intake UI

Step-based form experience with validation and progress persistence.

Form State

Auto-save snapshots with restore and prefill reconciliation logic.

Review Handoff

Submission payload normalization for downstream VRM review stages.