---
title: "How to Build a Payment Orchestration Platform Like Primer 2026"
author: "Nate Laquis"
author_role: "Founder & CEO"
date: "2029-02-01"
category: "How to Build"
tags:
  - payment orchestration platform
  - payment routing development
  - fintech infrastructure
  - PCI DSS compliance
  - payment gateway development 2026
excerpt: "Payment orchestration lets businesses route transactions across multiple processors for better rates and reliability. Here is how to build a platform like Primer or Spreedly."
reading_time: "14 min read"
canonical_url: "https://kanopylabs.com/blog/how-to-build-a-payment-orchestration-platform"
---

# How to Build a Payment Orchestration Platform Like Primer 2026

## What Payment Orchestration Actually Solves

Payment orchestration platforms sit between merchants and payment processors, abstracting away the complexity of managing multiple payment providers. Instead of integrating directly with Stripe, Adyen, Braintree, and Checkout.com separately, merchants integrate once with the orchestration layer and gain access to all of them through a unified API.

The value proposition is concrete. Authorization rates improve by 2 to 8% through intelligent routing (sending transactions to the processor most likely to approve them based on card type, geography, and historical data). Processing costs drop by 10 to 30% by routing to the cheapest processor for each transaction type. Downtime risk decreases because if one processor goes down, transactions automatically failover to another.

Primer, Spreedly, and Gr4vy are the market leaders. Primer focuses on no-code payment workflows with a visual builder. Spreedly emphasizes the payment vault and token portability. Gr4vy targets enterprise merchants with complex routing needs. The global payment orchestration market is projected to reach $5.2 billion by 2028, driven by merchants tired of processor lock-in.

Building a payment orchestration platform is a serious undertaking. PCI DSS compliance alone costs $50K to $150K. But the recurring revenue model (per-transaction fees or percentage-based pricing) creates excellent unit economics once you reach scale. This guide covers the architecture and key engineering challenges.

## Architecture: The Orchestration Layer

A payment orchestration platform has four core components: the unified API, the processor abstraction layer, the routing engine, and the payment vault.

### Unified API

Design a single API that normalizes all payment operations across processors. Your API handles authorization, capture, refund, void, and query for any connected processor. The merchant sends a payment request to your API, and your platform translates it into the processor-specific format, routes it, and returns a normalized response.

Use REST with OpenAPI specification for the API design. Payment APIs must be idempotent (the same request sent twice produces the same result) to handle network retries safely. Include idempotency keys in every request. Build versioned endpoints (v1, v2) from the start since API changes in payment systems require careful migration paths.

### Processor Abstraction Layer

Each payment processor has its own API, authentication mechanism, data format, and error codes. Build an adapter pattern where each processor gets its own module implementing a common interface. The interface defines standard methods (authorize, capture, refund, void) and standard data objects (payment method, amount, currency, merchant reference). Each adapter translates between your standard format and the processor's specific format.

Start with 3 to 5 processors: Stripe, Adyen, Braintree, Checkout.com, and one regional processor relevant to your target market. Each adapter takes 2 to 4 weeks to build and test thoroughly. The [marketplace payment system architecture](/blog/marketplace-payment-system) covers similar abstraction patterns for multi-provider payment setups.

![Payment orchestration interface showing multi-processor transaction routing and processing](https://images.unsplash.com/photo-1556742049-0cfed4f6a45d?w=800&q=80)

## Intelligent Routing Engine

The routing engine is the brain of the platform. It decides which processor handles each transaction based on configurable rules and machine learning models.

### Rule-Based Routing

Start with rule-based routing that merchants can configure through a dashboard. Rules evaluate transaction attributes (card brand, issuing country, transaction amount, currency, merchant category code) and route to the optimal processor. Example rules: route Visa transactions over $500 to Adyen (lower interchange), route European cards to Checkout.com (better EU authorization rates), route all recurring payments to Stripe (best subscription handling).

Build a rules engine that supports priority-based rule evaluation, boolean conditions with AND/OR logic, percentage-based traffic splitting (send 80% to Stripe, 20% to Adyen for A/B testing), and time-based rules (different routing during peak hours).

### ML-Based Optimization

Once you have enough transaction data (typically 100K+ transactions), train models that predict authorization probability per processor for each transaction. The model considers card BIN (first 6 to 8 digits, which identify the issuing bank), transaction amount and currency, time of day and day of week, merchant category, and historical authorization rates for similar transactions on each processor. Route each transaction to the processor with the highest predicted authorization rate, weighted by cost. Even a 2% improvement in authorization rates translates to significant revenue recovery for high-volume merchants.

### Failover and Retry Logic

When a processor declines a transaction or times out, the routing engine should automatically retry on an alternative processor. Not all declines are retriable: hard declines (stolen card, insufficient funds) should not be retried. Soft declines (processor timeout, temporary hold) are candidates for retry. Build a decline code taxonomy that maps each processor's error codes to retry eligibility. Limit retries to 2 to 3 attempts to avoid excessive processing fees.

## Payment Vault and Token Management

The payment vault stores sensitive card data and issues tokens that processors can use without your merchants ever touching raw card numbers. This is the foundation of PCI DSS scope reduction.

### Vault Architecture

Store card data in an encrypted vault with hardware security module (HSM) protection. Each card gets a platform token (a unique identifier that maps to the encrypted card data). Merchants store your token and use it for subsequent transactions. When a transaction is processed, your vault decrypts the card data and sends it to the selected processor in their required format.

The vault must support network tokenization (Visa Token Service, Mastercard Digital Enablement Service), which replaces card numbers with network-level tokens that improve authorization rates by 1 to 3% and reduce fraud. Network tokens are processor-agnostic, meaning you can use the same token across different processors.

### Token Portability

Token portability is the killer feature. When a merchant wants to switch from Stripe to Adyen, they cannot take their customers' card data with them (Stripe holds the tokens). With your orchestration platform, the merchant's tokens live in your vault, and switching processors requires zero customer re-enrollment. This is the primary reason merchants adopt payment orchestration and the main source of vendor lock-in for your platform.

### Multi-Processor Tokenization

Each processor issues its own token for a stored card. Your vault maintains a mapping: platform token to encrypted card data to processor-specific tokens. When routing a transaction, use the existing processor token if available (faster, avoids re-tokenization). If routing to a new processor for the first time, decrypt the card data, tokenize with the new processor, and store the mapping. This multi-processor token management is complex but essential for seamless routing.

## PCI DSS Compliance: The Table Stakes

Handling raw card data means PCI DSS Level 1 compliance is mandatory. This is the most expensive and time-consuming part of building a payment orchestration platform.

### Compliance Requirements

PCI DSS Level 1 requires annual on-site audits by a Qualified Security Assessor (QSA), quarterly network vulnerability scans by an Approved Scanning Vendor (ASV), penetration testing at least annually, encrypted storage for all cardholder data, strict network segmentation separating cardholder data environments, comprehensive access controls and audit logging, and formal incident response procedures. The audit alone costs $50K to $150K depending on your QSA and the complexity of your environment.

### Architecture for Compliance

Isolate your cardholder data environment (CDE) from all other systems. The vault runs on dedicated infrastructure with no shared resources. All network traffic in and out of the CDE traverses a firewall with explicit allow rules. No developer has direct access to production card data. All access is through audited, role-based systems.

Use AWS or GCP dedicated tenancy for your vault infrastructure. Both cloud providers offer PCI DSS compliant hosting, but you need to configure it correctly. AWS has a PCI DSS compliance matrix that maps each requirement to specific AWS services and configurations.

### Reducing Scope

Every system that touches cardholder data is in PCI scope. Minimize scope ruthlessly. Your API gateway should handle tokenization at the edge so card data never reaches your application servers. The routing engine works with tokens, not raw cards. Only the vault and its direct infrastructure need to be PCI Level 1 compliant. Everything else operates at the much simpler SAQ-A level.

![Security compliance documentation and PCI DSS audit framework for payment platform](https://images.unsplash.com/photo-1563986768609-322da13575f2?w=800&q=80)

## Reconciliation, Reporting, and Analytics

Merchants using multiple processors need consolidated reporting. Reconciliation across processors is one of the highest-value features you can offer.

### Transaction Reconciliation

Each processor reports settlements on different timelines in different formats. Stripe settles in 2 days with detailed per-transaction reporting. Adyen provides settlement files with batch-level detail. Braintree uses a different settlement cycle. Your platform must normalize these settlement reports into a single view showing expected settlements by processor and date, matched vs unmatched transactions, discrepancies (authorization vs settlement amount differences), and net amounts after processor fees.

Building reliable reconciliation takes 4 to 8 weeks. It requires parsing each processor's settlement file format, matching settlements to original transactions, and handling edge cases (partial refunds, chargebacks, currency conversions). This is unglamorous but critical work that saves merchants days of manual spreadsheet reconciliation.

### Analytics Dashboard

Provide merchants with analytics on authorization rates by processor (proving the value of orchestration), cost comparison across processors, transaction volume and trends, decline reasons and patterns, and routing performance (did the routing engine make the right choices). These analytics justify your platform fee and help merchants optimize their payment setup. The [fintech development guide](/blog/how-to-build-a-fintech-app) covers reporting patterns common to financial platforms.

## Launch Strategy and Monetization

Payment orchestration is a trust-intensive product. Merchants are handing you their payment infrastructure, which means your sales cycle is long and compliance credentials matter more than features.

### Monetization

Charge per transaction (typically $0.05 to $0.15 per transaction) or take a small percentage (0.05% to 0.15%). High-volume merchants negotiate lower rates. Some platforms also charge monthly platform fees ($500 to $5,000/month for enterprise tiers). Your pricing must be low enough that the authorization rate improvement and cost savings from intelligent routing more than cover your fee.

### Go-To-Market

Start with mid-market e-commerce merchants processing $5M to $50M annually. They are large enough to benefit from multi-processor routing but small enough to sign without enterprise procurement processes. Build case studies showing authorization rate improvement and cost savings. These metrics sell the product.

### Technical Requirements for Launch

Before your first merchant goes live, you need PCI DSS Level 1 certification, at least 3 processor integrations fully tested, 99.99% uptime SLA (payment systems cannot go down), comprehensive documentation and SDKs, and 24/7 on-call support capability. This is a high bar, which is why the payment orchestration market has relatively few players. The barrier to entry is your moat.

Ready to build your payment orchestration platform? [Book a free strategy call](/get-started) to discuss your technical architecture, compliance strategy, and go-to-market plan.

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*Originally published on [Kanopy Labs](https://kanopylabs.com/blog/how-to-build-a-payment-orchestration-platform)*