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.”
06Related