The documentation says it's supported. That's usually where the adventure begins.
Payments technology has been evolving for decades. Unfortunately, nobody told the old technology it was supposed to leave.
That means modern payment systems routinely involve beautifully designed APIs sitting next to ISO 8583 messages, batch files, settlement transmissions, processor-specific extensions, card-network requirements, decades-old specifications, and at least one interface whose documentation appears to have been assembled from three different versions of a PDF.
Welcome to payments.
Whether you are trying to build something new or understand the data coming out of something that already exists, we help make the technical side of payments considerably less mysterious.
Sometimes that means helping your development team design and build the right thing. Sometimes it means figuring out which one of the 37 files your processor sends every night contains the answer to the question everyone has been arguing about for two weeks.
Either way, this is our kind of problem.
Modern software teams are used to APIs that behave reasonably well. You authenticate. You send a request. You get a response. Somewhere there is attractive documentation with examples in six programming languages.
Payments can occasionally work like that.
It can also involve processor-specific certification requirements, card-network rules, cryptographic key management, tokenization strategies, terminal behavior, clearing formats, settlement files, exception handling, retries, reversals, duplicate detection, reconciliation, and a surprising number of ways to successfully process a transaction incorrectly.
That last one is important. Getting a transaction approved is not the same thing as building a good payments system.
A design decision can affect interchange. A tokenization decision can affect portability. A field populated incorrectly during authorization can create downstream clearing problems. An architecture that works beautifully for your first hundred merchants can become an operational nightmare at ten thousand.
This is why payments experience matters before the code is written.
We know the interfaces. TSYS is home turf, but we have worked across processors, gateways, networks, acquirers, terminals, payment applications, and the weird connective tissue that makes all of them communicate.
We understand the specifications, but we also understand the parts that tend not to make it into the specifications: which fields actually matter, which "optional" features become very non-optional once you launch, which edge cases will eventually happen, which certification requirements need to influence architecture now rather than six months from now, and which design decisions look harmless until you try to operate them at scale.
We speak fluent payments protocol, decode processor documentation without needing a support group, and actually enjoy debugging file formats. Somebody has to.
Build the right thing before you spend a fortune building the wrong thing.
Maybe you want to build a payments gateway. Maybe you are creating your own Tap to Pay on iPhone implementation. Maybe you need network or processor tokenization. Maybe you are integrating directly with a processor, working through an EMV certification, building merchant boarding, or connecting a payment product to infrastructure your development team has never seen before.
You have heard the terminology. You understand approximately what the interfaces do. Your developers are smart. And everyone is reasonably confident they can figure out the rest along the way.
This is the point where we would like to gently confiscate the whiteboard marker.
The most expensive technical mistakes in payments usually happen long before anyone discovers a bug. They happen when requirements are incomplete, the architecture is based on assumptions nobody validated, the team does not understand downstream processing, or everyone designs around the happy path because nobody has yet experienced all the unhappy ones.
We work with your product and development teams before and during implementation to define what the system actually needs to do, how it needs to interact with the payments ecosystem, and what design decisions need to be made before development gets too far down the road.
Think of us as the people who help build the blueprint. Your developers still build the house. We just try to make sure they do not discover after pouring the foundation that the processor requires the front door to be on the other side.
We once got called into a payment gateway project after millions of dollars and years of development had already been spent. The developers were competent. The problem was that nobody leading the effort had actually built a payments gateway before.
Requirements were not properly defined. Development effort went toward the wrong capabilities. Important payments functionality was missing. And after all that investment, the system was not even communicating directly with processors — it was a gateway connected to another gateway.
That is a very expensive way to discover an architectural requirement.
The best time to bring in payments expertise is before the technical decisions become code, dependencies, certifications, and sunk cost. The second-best time is now.
This work is for ISVs, PayFacs, ISOs, fintechs, processors, merchants, banks, and other organizations building or materially changing payment technology.
It is especially useful when your development team is technically strong but does not have deep payments-domain experience. We are not there to replace your engineers. We are there to prevent good engineers from spending six months discovering requirements somebody who has built these systems before could have identified in the first six days.
Technical Integrations helps you architect, design, certify, and implement payment technology with a blueprint grounded in how payments actually work.
Where's The Data? helps you take the enormous amount of information your payment ecosystem already produces and turn it into answers your business can use.
Different problems. Same advantage. We understand what happens between the transaction you send and the mountain of technology, files, fields, fees, and messages that comes back.
When the technical gets weird, we get interested.
