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Embedded payments are becoming core to vertical SaaS | PaymentsJournal

Updated on May 20, 2026

Originally aired May 20, 2026

Article and podcast originally appeared on PaymentsJournal: Embedded Payments Are Becoming Core to Vertical SaaS.

Not long ago, a concrete company and a takeout restaurant could end up running their business on the exact same software. Systems built for everyone, in practice, worked perfectly for no-one—and bending them to fit the realities of a small business was often frustrating or simply impossible. 

Vertical software-as-a-service (SaaS) solutions emerged to solve this problem, quickly evolving from the exception to the norm. The reasons for this growth are largely self-evident: vertical SaaS enables rapid implementation with minimal customization. In many cases, merchants feel these platforms are built for their business rather than retrofitted to it. However, the operational benefits of SaaS are diminished if payments aren’t integrated into the solution.

In a recent PaymentsJournal podcast, Brad Pinneke, Head of Enterprise Development at Worldpay, now Global Payments, and Don Apgar, Director of Merchant Payments at Javelin Strategy and Research, discussed how embedded payments have become a critical driver of vertical SaaS—a synergy that will only strengthen as new trends and technologies reshape the landscape.

The case for embedded payments 

One of the most notable aspects of the rise of vertical SaaS is that it has largely been market-driven. Adoption has accelerated as industries not typically known as early adopters—such as healthcare, construction, and financial services—have come on board, despite heavy compliance and consumer protection requirements.

With the advantages of vertical SaaS now well established, these platforms will continue gaining traction and carving out new niches.

“POS systems were so generic that everybody had to customize it, and most merchants were finding that that customization wasn't possible because the platform didn't support the features that they needed for their business,” Apgar said. “Now that these features are being identified, it's created these micro-markets for POS platforms to be focused on the needs of specific business types, and payments are part and parcel with that.” 

Payments are a logical addition, given that vertical SaaS solutions increasingly encompass nearly every aspect of a small business. A pizzeria’s platform, for example, may manage everything from payroll to inventory.

Yet few functions are as mission-critical as payments. This is why embedded payments and vertical software are increasingly in lockstep. By embedding payments directly into workflows, businesses can complete transactions at the exact moment a customer is ready to pay—whether when a service is completed or a product is purchased. 

“I'll give you a great example from the last couple of years: field services,” Pinneke said. “In the past, the tech used to complete the job and then the office staff would send an invoice and the payment would arrive weeks later. Then, they have to reconcile that payment, take it to the bank, and cash flow was unpredictable.” 

“Fast forward to today, where embedded technology comes into play,” he said. “The job is marked complete, the payment is scheduled instantly, the receipt is automatically sent out, and the funds are settled predictably. You're limiting the back-office intervention, which has huge impact to smaller businesses.” 

Automatic, not forensic 

One of the benefits of vertical SaaS solutions is the ability to deliver holistic business insights through a unified dashboard. Embedded payments extend this value far beyond checkout. 

“The embedded impact is that things like payouts and fees and balances are visible alongside operational metrics,” Pinneke said. “In the past, you had the system of record showing one thing and then you had a payments portal showing something else and the reconciliation between those was tough.” 

“That's a big part of it today—it's automatic, not forensic,” he said. “Forensic was such a big part of small business challenges; they just didn't have time. Now, the reporting reflects reality, not just an estimate, and that's critical for businesses today.” 

When implemented correctly, this seamless integration can improve cash flow while streamlining the customer experience.

However, these gains depend on thoughtful placement within the platform. Payments should not exist as a separate or disjointed process; instead, sales, onboarding, and customer experience should reinforce a single, cohesive journey.

Equally important is timing. Successful platforms introduce payments early in the customer lifecycle. Too often, organizations treat payments as an afterthought—only addressing them once users are trained and ready to deploy the solution.

In short, platforms that succeed with embedded payments don’t position them as a value-add—they treat them as critical infrastructure that completes the workflow. 

“When POS evolved into vertical SaaS, it wasn't uncommon for the merchant to say, ‘I'm going to shop for my software and now I'm going to shop for my payment solution,’” Apgar said. “Successful SaaS providers have figured out that it's not a check-the-box optional feature. A lot of what's driving the move toward embedded finance is that the vertical SaaS software is enabling a single source of truth database—starting with payments and eventually evolving into supplier payments and other functions that work off that same data set.” 

“It's critical to the functionality of the system to drive off that single data set to have payments embedded in the SaaS solution,” he said. “The SaaS company has to embrace that and make that part of the go-to-market strategy. It's not a bolt-on or an add-on, it's core to the function of the platform.” 

The time resource 

Merchants and platforms that embrace embedded payments as a core component of vertical SaaS will be better equipped not only for today’s challenges but also for a future shaped by artificial intelligence. 

“For the SMB that is the typical vertical SaaS user, AI is going to be a game changer,” Apgar said. “The most critical resource in the life of the business owner is time. With the centralized dataset within the vertical SaaS platform, the common option has been to create dashboards. So, we create marketing dashboards and payment dashboards and cash flow dashboards and say, ‘Here's all the information that the business owner needs.’” 

“The bottom line is the business owner doesn't have time to sit there and sift through all this,” he said. “That's what AI does best, it manages large volumes of data to impute trends and make recommendations.” 

AI-driven decisioning is especially valuable at key points in financial workflows where human intervention can be slow and costly—such as determining whether funds should be released. 

Rather than relying on manual review, AI can sift and analyze vast datasets to flag suspicious or high-risk transactions, then approve, deny, or delay them accordingly. This helps financial institutions meet growing demands for real-time transactions while maintaining strong fraud protections.

AI also plays a crucial role in payments orchestration, selecting the optimal payment rail based on factors like cost or efficiency. As new payment methods emerge, AI will become increasingly central in determining the best route for each transaction. 

From reactive to proactive 

Ultimately, AI is shifting organizations from reactive reporting to proactive insights. Historically, businesses often accessed key data weeks or months after the fact. Today, AI can process information in real-time, transforming areas such as predictive risk assessment and exception handling. 

These efficiency gains also create opportunities for cost reduction, including areas that directly impact merchants’ bottom lines.

“AI feels like back when reliable internet became available, it's such a driving force today,” Pinneke said. “The number one thing I get asked is ‘How do we handle chargebacks?’ If you look at AI, there is probably the greatest opportunity to let AI engines figure out the chargebacks in real time and deal with them.” 

“If you think about the entire process, it's essentially broken,” he said. “People dispute something, it comes back, and the merchant and retailer has to go and collect data and show proof and all of that,” he said. “Imagine if AI tools did more of the upfront work. We would probably see a lot less chargebacks, and that turns into real dollars. That's probably the number one place where AI is making a difference for everybody up and down the food chain.”

Transcript

0:08
All right, so before we dive into this, just a round of introductions, Brad, we'll start with you.

0:17
Yeah, Brad Pinneke, I lead the business development team around Enterprise SaaS and PayFacs for Worldpay, now part of Global Payments.

0:27
Great to have you here.

0:28
I'm Don Apgar and I lead the merchant payments and acquiring practice here at Javelin Strategy and Research.

0:35
Great to have you here as well.

0:37
So vertical SaaS platforms have evolved from supplementary tools to mission critical operating systems for SMB. Brad, what key market forces, customer needs or technology shifts drove the transformation?

1:01
Yeah, great question. I think the market is really driving the direction that that these platforms are going because I think industry specific software now mirrors how the operations work rather than what we saw traditionally, which was generic platforms that may or may not require heavy customizations to match those vertical applications. And, and I think why that matters is probably somewhat evident, but you know, faster implementations, less customization, which reduces the time to market, they get a higher day one value. And then more importantly, the software just feels built for them rather than adapted for them. And partly also what's driving is that a lot of these digital sectors are really late bloomers. And so, you're seeing a big ramp up around those. And, to me that's healthcare and construction, even real estate, financial services, and even local services that are really heavy SMB dependent. I think that's a big part of why you're seeing that today.

2:08
Yeah, I think the granularity is key, Brad. You know, to your point, POS systems were so generic that everybody had to customize it. And most merchants found that customization wasn't possible because the platform didn't support the features that they needed for their business. So, now as you know, these features are being identified. It's created these kinds of micro markets, if you will, right for POS platforms to be focused on the needs of specific business types and, and payments are part and parcel with that.

2:43
Yeah, I totally agree, Don. And I think we shouldn't overlook the fact that this model is attractive now in capital markets, right? Vertical platforms, their SAS valuation is heavily dependent on their ability to focus within their niche. And the reason for that is you start to see predictable revenue and, and recurring, and then the high net retention value is evident. Then I think you're starting to see a clearer path to profitability. So the capital markets are drawing attention, enforcing the market shift as well.

3:17
Well, that's 100% right. Because the private equity guys are, are all about recurring, repeatable, predictable revenue. And when it comes to, a SaaS application and a payments application, it's like peanut butter and Jelly, right? They create repeatable, predictable monthly revenue for the business.

3:36
Yeah, and I don't know about you, Don, but who doesn't love peanut butter and Jelly?

3:40
That's right.

3:44
When a vertical fast platform becomes the operational hub for its users, payments are often the next logical step. In your view, at what points in the workflow do embedded payments add the most value for users? And are there any examples you can share of what that may look like?

4:00
Yeah, I think for me, maybe a little bit of a technical answer, but I think it works, right. In embedded payments today, one of the key critical things is that they add value at the moment that they already operational decision for the user. So for example, points where work is completed, obligations, are triggered, and more importantly, cash flow really matters. And at the moment that's been delivered, customers willingness to pay is really high and if that is an event that is triggered in the application, it makes sense. And I'll just give you a great example, from the last couple years. Take field services. In the past, the tech used to complete the job and then the office staff would send an invoice and the payment would arrive weeks later. And then they must reconcile that payment, take it to the bank, and cash flow was unpredictable vs, fast forward to today, where embedded technology comes into play. The jobs complete, the payments captured instantly or scheduled instantly; the receipts automatically send out; the funds settled predictably. And you're limiting the back-office intervention, which has a huge impact on smaller businesses.

5:11
Yeah, I think that's a great example. Somebody asked me not long ago, what's the difference between the integrated and embedded, and what integrated did was connect the payments workflow to the business workflow, right. They created the transaction. But embedded really, really blends them together into a seamless single workflow. So, when the process is completed, the payment just flows along and it's great from a cash flow perspective for the business. And it makes a fantastic consumer experience for the buyer.

5:46
Yeah, totally agree. The embedded impact, as you're saying, just to kind of put a finer point on that, is that things like payouts and fees and balances are visible alongside operational metrics. In the past, you had the system of record showing one thing and then you had a payments portal showing something else and the reconciliation between those was tough. That's a big part of it today. It's automatic, not forensic. And forensic was such a big part of small business challenges. They just didn't have time and then the reporting reflects reality, not just an estimate. So, I think about what you're saying, Don. That's really critical for businesses today.

6:21
Well, that's a lot of what's driving the move toward embedded finance is that the, the vertical SaaS software is enabling that single source of truth database, right, starting with payments and eventually it's evolving into supplier payments and other functions that work off that same data set.

6:41
Agreed.

6:44
What are the key factors, whether it's product strategy, go to market alignment, technical execution or something else that really separate vertical SaaS platforms that succeed with embedded payments from those that struggle to gain traction? Are there any missteps or best practices that you've seen that you can speak to?

7:03
Yeah. All those are really critical steps. Certain companies execute on a couple of those; certain companies execute all of them. But what I see is that payments should be positioned as to how the platform works. It shouldn't be a separate SKU. It shouldn't be a separate process. It's just part of it, right? The sales, onboarding, and customer success reinforce one singular story instead of a disparate experience, which is so often what has happened. And then here's the key point is adoption really happens early in the life cycle, not after users have already trained, worked around the product, they're getting ready to implement. Then oh, by the way, yeah, we do take payments. How do we deal with that? And so I think the best practices are, you know #1 for me, is that platforms that succeed don't treat embedded payments or finance even as a feature or a revenue bolt on. They treat it as an infrastructure that completes the workflow to the users.

8:05
Yeah, I think that's exactly right.

8:06
And you know, when POS evolved in the vertical SaaS, that wasn't uncommon for the merchant to say, OK, I'm going to shop for my software and now I'm going to shop for my payment solution. I think that the successful SaaS providers have figured out exactly what you said that it's not a check the box optional feature. It's really critical to the functionality of the system, to drive off that single data set that we just talked about to have payments embedded in the SaaS solution. And so the SaaS company has to kind of embrace that and make that part of the go-to market strategy. So to your point, it's not a bolt on or an add on. It's, you know, core to the function of the platform.

8:52
Yeah, I totally agree.

8:55
As we come to an end here, I feel like we have to touch upon the buzzword in the room, artificial intelligence. Looking ahead, Brad, how do you envision AI reshaping the landscape for vertical SAS platforms as they expand further into embedded payments and financial services? Are there any new capabilities or business models that might emerge?

9:17
Yeah. AI feels like kind of back to when reliable Internet became available, right. It's such a driving force today. But I think you're going to hear a lot of people talk about data and certainly that's critical. I might break it down maybe a little bit more. And, for me, the AI driven decisioning really is critical at financial moments. It adds the most value when money moves, versus where humans might hesitate. And that really comes about in several ways.

9:52
Like one example, when should funds be released? What makes sense, right? What makes sense from a risk perspective, fraud perspective, and then also whether to approve or delay a transaction. All we hear about today is the number of fraudsters that come in and attack platforms and solutions and payment companies. And so it's really critical to recognize, acknowledge and, and prepare, but do it in a way that doesn't slow down the speed of transaction or business. And then I think the other things are, how do you route a payment for cost versus optimization? Think about debit optimization, think about alternative payment methods that attract. Buy now, pay later is a great example of that. And AI is going to drive that to where it's going to look at customer needs and reliability of payments and merge that with faster technology around AI. Then the last one I'll make is that I think it's really a catalyst for real time insights that before were very reactive. I mean, somebody wouldn't get that data for a month, or two months, after it happens. And by that time, it's just too slow and the ability to react isn't good. And things like predictive risk assessment, I've talked about that, but that's really big. And then I think when you look at how it automates exception handling, that's important. And the last nugget, of course, is development time. You're just seeing things that took, you know, a coder a month, or two months; we're seeing happen in 30-minutes or less. So, for me, those are really big ones.

11:18
Yeah for the SMB, that's the typical vertical SaaS user, AI is just going to be a game changer. The most critical resource in the life of the business owner is time, right? And so, we talked about the centralized data set within the vertical SaaS platform. The common option has been to create dashboards with that. So, we create marketing dashboards, payment dashboards, cash flow dashboards, and things that here's all the information that the business owner needs. But the bottom line is the business owner doesn't have time to sit there and sift through all this, right? And that's at the core of it, that's what AI does best. It manages large volumes of data, impute trends, and make recommendations. So, I think we're at a tipping point where from a business owners' perspective, they no longer have to make time, to your point, a month later, to log into a dashboard to make a decision on what the data tells them to do. AI can step in and say, hey, you know what, I've reviewed all the data. Here's what you need to do tomorrow, Mr. Business owner and then of course, to your point, about fraud and risk reduction, all the stuff from an acquiring and, and payments infrastructure perspective, it's the same thing, it's the ability to crunch just huge volumes of data and make decisions on the fly. It's going to be a game changer that actually has already started.

12:53
Yeah, I totally agree. And I would even leave our listeners with really one thought that probably resonates with everybody, Don, which is, number one thing I get asked about all the time is how do we handle chargebacks? And if you look at AI, there is probably the greatest opportunity to let the AI engines sort of figure out the chargebacks in real time and deal with them in real time right now. If you think about the entire process, it's essentially broken, right? People dispute something; it comes back, the merchant retailer, has to go and collect data and show proof and all that. Imagine if that was done faster if AI tools did more of the upfront work. I think we'd see a lot less chargeback probably. And that turns into real dollars, right? To me that is probably number one for us right now, there are lots of them, but that's probably number one place where AI is really making a difference for everybody up and down the food chain.

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