Fintech and Financial Services

LedgerKit, Business onboarding and risk workflow

LedgerKit required onboarding that felt fast to applicants while giving risk and ops teams defensible case files, not screenshots scattered across email.

CRM

Docs

Queue

Model

Search

Agent

Human

01Challenge

What was in the way.

Approval rates suffered from opaque step-up requests, and ops manually reconciled vendor verification results with internal rules spread across spreadsheets and wiki pages.

02Strategy

How we chose to proceed.

Codeaxes modeled onboarding as an explicit state machine with idempotent vendor calls, built an ops review console, and paired delivery with regression suites on the highest-risk transitions.

03Solution

What shipped.

A guided applicant flow with clear status copy, automated document checks, and an ops workspace showing vendor payloads, internal decisions, and reviewer notes in one timeline.

  • KYB intake with dynamic step-up based on risk signals
  • Idempotent integration with identity and document vendors
  • Ops review queues with assignment and SLA indicators
  • Internal rules engine with versioned policy changes
  • Applicant status page synchronized to pipeline state
  • Regression suite covering approval, rejection, and retry paths

04Stack

Technologies on the critical path.

  • TypeScript
  • Node.js
  • PostgreSQL
  • React
  • Temporal
  • Stripe Identity
  • AWS

05Outcomes

Operating change the work targeted.

Applicant clarity

Status page aligned to actual pipeline stage

Ops investigation

Case timeline replacing multi-tab vendor UIs

Release confidence

Automated coverage on critical onboarding transitions

“Applicants understand why we need another document, and ops can defend a decision without reconstructing the day from logs.”

Priya Sharma, Head of Product, LedgerKit

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