Spreedly: Unlocking Global Payment Performance

Payments infrastructure has never been more complex, or important. For enterprises operating at scale, across regions and providers, the margin between a transaction that clears and one that doesn't can translate into millions in lost revenue. 

Yet many businesses still run on rigid, provider-dependent stacks that leave them exposed to outages, locked into underperforming relationships and unable to adapt as issuer behaviour, consumer preferences and the broader ecosystem shift beneath them.

Spreedly has spent more than 15 years building the orchestration layer that sits between enterprises and that complexity. As the company moves into its next chapter – embedding AI-driven intelligence directly into the payments control plane – Chief Technology Officer Mike Rivers discusses how payments modernisation should actually work, why neutrality is a structural advantage and what it means to move from controlling infrastructure to controlling outcomes.

How has Spreedly evolved to address key customer needs since it was formed?

When Spreedly was founded in the late 2000s, the payments landscape, especially for SaaS and platform businesses, was rigid and provider-centric. Companies were growing quickly, but the payment infrastructure was tightly coupled, hard to change and difficult to scale.

From the start, our thesis was simple: payments should be portable, secure and decoupled from individual providers so businesses can move fast without being locked in. That idea still underpins the platform today and has enabled Spreedly’s evolution into payments orchestration, advanced routing, network tokenisation and now payments intelligence.

Early customers consistently came to us with several core needs: freedom from gateway lock-in, secure payment data and reduction of operational risk, infrastructure for recurring revenue, resilience, APIs and the ability to future-proof themselves from constant ecosystem changes. 

Together, these early needs shaped Spreedly into a platform built on control, flexibility and trust. That same foundation today allows us to extend orchestration into optimisation and intelligence without compromising our core principles.

Spreedly’s journey over the years has been very consistent, even though the platform has evolved a lot over time. We started by solving a narrow but painful problem, which naturally expanded into orchestration and now payments intelligence.

Today, customer priorities have shifted and we’re on the next phase of our journey: payments intelligence and optimisation. Now, authorisation rates matter more than ever, cost optimisation is strategic, issuer behaviour changes constantly and static rules just don’t keep up. The natural question became: if Spreedly already sits at the centre of payment decisions, why shouldn’t we help customers make better ones?

Because of our neutral position, centralised decision plane, scale and disciplined approach to data, we’re uniquely positioned to learn from aggregated, anonymised outcomes and apply that intelligence to improve authorisation, cost and reliability. This isn’t a pivot for us. It’s the logical next step in a 15-plus-year journey.

Spreedly has always existed to help customers manage payment complexity without losing control. AI payments intelligence is simply the next abstraction layer, moving from controlling infrastructure to controlling outcomes. 

When I look back at Spreedly’s journey, the moments that stand out most aren’t just milestones we’re proud of, they are moments that shaped how we think about responsibility, trust and where the platform could go next.

How is Spreedly evolving as AI reshapes payments infrastructure?

When people ask what makes Spreedly different, I usually start with one word: neutrality. It’s not a marketing line for us, it’s an architectural and incentive choice we’ve made from day one.

Spreedly isn’t a PSP, an acquirer or a gateway, and we don’t compete with the ecosystem we orchestrate. That matters because most orchestration offerings are owned by a provider somewhere in the stack, which means routing decisions are often biased – sometimes subtly, sometimes not. We don’t want customer volume. We want to optimise customer outcomes. That neutrality is why customers centralise decisions with us, let us sit in the critical path, and trust us with increasingly important responsibilities.

We see AI as an accelerator, not a replacement for what Spreedly already does well. Historically, customers configured static rules for routing, failover and retries. As AI has matured, we’ve been evolving that model from manual configuration to AI-assisted recommendations and, where customers opt in, guardrailed automation. 

AI helps us detect patterns humans can’t see, adapt to issuer and network behaviour changes and continuously improve decisions over time.

Importantly, we take a trust-first approach to AI. We train models on aggregated, irreversibly de-identified outcomes across the platform, not on individual merchant strategies or customer-specific data. Customers keep their data. 

Spreedly learns from anonymised outcomes. That means customers benefit from ecosystem-level learning without competitive leakage, and intelligence improves with scale rather than exposure.

AI also belongs naturally in orchestration because that’s where decisions already live. Spreedly sits at the decision point, with context and customer-defined controls. We’re not bolting AI onto payments, we’re embedding intelligence into the control plane. And we’re very intentional about where we apply it: smart routing optimisation, retry timing and sequencing, issuer behaviour detection, cost-versus-approval trade-offs and early detection of network or acquirer degradation. 

These are high-impact, measurable, explainable problems tied directly to revenue outcomes. Looking ahead, AI is just the next ecosystem shift. As models and techniques evolve, Spreedly abstracts that change away from customers. They don’t have to rewrite integrations or re-architect payments. Intelligence improves underneath a stable API, just like our original promise that customers shouldn’t have to rebuild payments every time the ecosystem changes.

Why are uptime, decline recovery and authorisation optimisation revenue-critical for Spreedly customers?

For our customers, payments aren’t a back-office function, they’re the front door to revenue. When payments fail or underperform, revenue is lost immediately, often silently and sometimes permanently. That’s why uptime, decline recovery and authorisation optimisation aren’t “nice to have”. They’re revenue-critical.

Uptime is really about revenue continuity. In payments, if the stack is unavailable, transactions don’t queue, they fail. There’s no meaningful catch-up later. Every minute of downtime translates directly into lost revenue, abandoned carts or failed subscription renewals that don’t always retry. Because Spreedly sits in the critical path for many customers, uptime isn’t just a technical metric – it’s a revenue metric.

Authorisation optimisation is one of the highest-ROI levers in the entire business. Authorisation rates typically move in small increments, half a point, one point, two points, but those changes apply to every transaction, every renewal, every retry. At scale, that compounds quickly. A one percent lift on hundreds of millions in volume can translate into millions in incremental revenue, without new customers, marketing spend, or pricing changes.

This matters even more for Spreedly customers because they operate at scale, across regions, providers and issuers. They can’t afford lock-in or single points of failure, and payment performance is often measured at the CFO level. They don’t just want payments to work, they want payments to perform optimally, continuously and safely.

That’s where orchestration, and now payments intelligence, becomes critical. Without orchestration, uptime is provider-dependent, decline recovery is generic and optimisation is static. 

With orchestration, customers can design for resilience, configure smarter recovery paths and centralise decisions. With AI layered on top, those decisions improve over time, uptime issues are detected earlier, recovery paths get smarter and authorisation strategies adapt automatically.

How should enterprises modernise their payment infrastructure?

The biggest mistake enterprises make when modernising payments is assuming they need to rip everything out and start over. In practice, the most effective modernisation is architectural, not disruptive. It’s about decoupling, control and continuous improvement.

Modern payments infrastructure separates business logic from payment providers and replaces hard-coded integrations with a control plane. Instead of embedding payment logic into applications, enterprises introduce an orchestration layer. 

Applications talk to one stable interface, and providers are configured rather than coded. That lowers risk, reduces engineering effort and makes change far easier.

Breaking provider lock-in is another critical step. 

When gateways own tokens, switching providers often means re-collecting cards and risking customer relationships. Using an independent, PCI-compliant vault makes payment methods portable, allowing enterprises to migrate safely, negotiate from a position of strength and optimise without disruption.

Centralising payment decisions is equally important. Routing, failover, retry logic and cost-versus-performance trade-offs shouldn’t be scattered across regions and services. A centralised control plane improves governance, reduces incidents and makes audits and compliance far more manageable.

Resilience is also foundational. Legacy systems are built for the happy path, until a provider outage stops revenue. Modern payments assume failure and plan for it, using multi-provider redundancy and automated failover, so uptime directly translates to revenue continuity.

Once orchestration is in place, enterprises can move from static rules to continuous optimisation. Issuer behaviour changes constantly, and logic that isn’t revisited will decay. Layering intelligence on top of orchestration enables ongoing improvement in authorisation rates, decline recovery and cost efficiency.

Crucially, modernisation should be incremental. Enterprises don’t pause revenue to refactor payments. The winning approach is to introduce orchestration alongside existing systems, migrate gradually, add redundancy and optimise over time.

At its core, payments modernisation is about decoupling providers from applications, centralising decisions, and continuously improving performance without sacrificing control. Platforms like Spreedly exist to make that evolution practical and low risk.

What kind of partner integrations does Spreedly offer?

At a high level, Spreedly is designed to sit at the centre of a very broad partner ecosystem. The goal isn’t just connectivity for its own sake. Rather, it is to give enterprises flexibility, resilience and global reach without forcing them to build and maintain dozens of custom integrations.

The largest category is payment gateways and PSPs. Spreedly connects to well over a hundred and fifty gateways and processors globally, which allows customers to route transactions through many providers using a single API. That includes large global players like Adyen, Stripe, Checkout.com, Braintree and Worldpay, along with a wide range of regional and specialised processors. In practice, this means customers can switch providers without code changes, choose the best provider by region or currency and configure failover paths to improve resilience.

Another important area is local and alternative payment methods. Different markets have very different consumer preferences, and enterprises don’t want to rebuild their stack every time they enter a new region. Through partnerships with local payment method providers and aggregators, customers can support things like bank transfers, regional debit schemes and buy-now-pay-later options behind the same integration. That allows enterprises to offer the right payment methods in each market without taking on direct integration complexity.

Fraud and risk integrations are also increasingly important. While Spreedly itself is an orchestration layer, it integrates with third-party fraud and risk tools so risk signals can be part of the payment decision flow. Especially with the addition of fraud orchestration capabilities, customers can coordinate multiple risk tools, apply conditional checks and align fraud decisions with routing and retry logic, rather than treating fraud as a disconnected system.

We also see strong adoption around alternative data and banking connections. Integrations with services that support bank account verification or account-to-account payments help customers enable ACH or bank debit flows more quickly and with less friction, particularly for use cases beyond cards.

Beyond payments and risk, Spreedly works with a range of technology and platform partners where orchestration is embedded into broader solutions, such as e-commerce platforms, global payment facilitators or vertical-specific software. These partnerships extend where Spreedly can be used and allow customers to adopt orchestration as part of a larger ecosystem rather than a standalone component.

Finally, we invest heavily in partner programs and gateway certification. By making it easier for PSPs and gateways to integrate with Spreedly and go to market together, we expand the ecosystem while reducing friction for merchants. That benefits everyone: partners reach customers faster and customers get more choice without more complexity.

What all of this adds up to is leverage. One integration opens access to a global payments ecosystem. Enterprises keep provider freedom without lock-in, gain built-in resilience through multi-provider strategies, and can expand internationally without rebuilding their payments stack. That breadth of integrations is a core reason customers use Spreedly as their payments control plane rather than a collection of point solutions.