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Case study · fintech

Payment Orchestration

Reconciliation time cut 85%, uptime held at 99.99%.

-85%reconciliation time
Payment Orchestration case studyPayment Orchestration case study

Overview

The brief.

A payments platform consolidated five fragmented PSPs behind an event-driven orchestration layer, slashing reconciliation time while keeping uptime at 99.99%.

Client

Payments platform

Fintech

Series C

Gallery

In the wild.

Orchestration pipeline grayscale
Reconciliation dashboard grayscale
Settlement ledger grayscale

The numbers.

Results

  • -85%

    reconciliation time

  • 99.99%

    uptime

  • 2x

    settlement speed

  • 100%

    audit trails

The challenge

What was in the way.

Five PSPs, five truths

Each payment service provider reported differently. Reconciliation meant nights of manual matching across spreadsheets, with disputes eating margin.

Compliance exposure

Card data touched too many systems. PCI scope had to shrink, not grow, as transaction volume scaled.

The solution

How we solved it.

We built an event-driven orchestration layer on Kafka with idempotent settlement, a single canonical ledger, and tokenized card flows that reduced PCI scope.

Reconciliation went from nights of matching to near real-time. The ledger is finally one source of truth.

CTO

Chief Technology Officer · payments platform

Outcome

The bottom line.

-85%reconciliation time

Reconciliation time cut 85%, uptime held at 99.99%.

FAQ

About this engagement.

How did you reduce PCI scope?

Tokenized card flows so raw PAN never touches orchestration.

Multi-PSP failover?

Yes - orchestration routes around PSP outages automatically.

Audit support?

Immutable ledger + evidence pack generated per control.

Want results like these?

We build to the outcome, then let the numbers speak.