Balakumaran Sugumar of Synchrony Financial On The Top 5 Future Payment Processing Trends

As we move further into the digital age, the world of e-commerce continues to evolve, particularly in the realm of payment processing. Cryptocurrencies, mobile wallets, contactless payments, AI-based fraud detection, and more are constantly reshaping how consumers make purchases and how businesses collect payments. Keeping abreast of these changes and understanding how to leverage them is crucial for any business operating in the e-commerce space. What are the upcoming trends in payment processing? How can businesses adapt to these trends to provide a seamless and secure transaction experience for their customers? In this interview series, we are talking to ecommerce experts, fintech innovators, and payment processing specialists, to share their “Top 5 Future Payment Processing Trends”. As a part of this series, we had the pleasure of interviewing Balakumaran Sugumar.

Balakumaran Sugumar is an AVP, Principal Software Developer, and Engineering Leader with over 16 years of experience building and scaling cloud-native systems in the financial services and emerging payments domain. His work focuses on making key architectural decisions for secure APIs, event-driven platforms, and data-intensive systems, with the applied use of AI and machine learning to enhance system intelligence and operational reliability.

Beyond technical leadership, Balakumaran mentor’s engineers, guides teams through complex technical and business trade-offs, and collaborates closely with product, platform, and business stakeholders across organizations. He has helped modernize mission-critical systems, align technology initiatives with business objectives, and deliver platforms that support long-term growth and resilience.

Thank you so much for your time! I know that you’re super busy. Before diving in, our readers would like to get to know you. Can you tell us a bit about your backstory and how you grew up?

I grew up in Pune, India — often called the “Oxford of the East”, a city shaped by universities, research institutions, and a strong culture of learning. Being surrounded by students, educators, and ideas at an early age created a natural curiosity and a quiet pressure to keep improving. At the same time, it was a place that balanced seriousness with energy, where academic ambition coexisted with lively conversations, friendships, and a shared drive to do better.

Outside the classroom, I enjoyed playing cricket and spending long evenings with friends -especially during exam nights, fueled by spicy vada pavs and chai. Those nights were often filled with laughter, last-minute revisions, and shared stress. While they were fun, they also came with real challenges. One subject I struggled with was Engineering Graphics, which was never my favorite, but putting in the extra effort to clear it taught me an early lesson in perseverance.

My early exposure to computers and a formative experience I share later in this article — further deepened my interest in engineering and problem-solving. I was always more drawn to understanding how systems fit together than to theory alone, particularly how small design choices could have outsized, real-world effects. That perspective took shape during my Computer Science Engineering studies at the University of Pune and still guides how I think about technology today.

Growing up in a fast-evolving, competitive environment also shaped how I work with people. It taught me the value of adaptability, collaboration, and learning from diverse perspectives — traits that later became central to my approach to engineering leadership and decision-making.

What led you to this specific career path?

My path into computer science began much earlier than I realized. In seventh grade, my sister was pursuing her bachelor’s degree in computer applications (BCA), and I was endlessly curious about the computer she used. At one point, I even traded my brand-new jeans for a full day of computer time, just to understand what it could do. That day sparked a fascination that never left me.

I started small, learning BASIC (Beginner’s All-purpose Symbolic Instruction Code), and gradually found myself drawn deeper into the world of software and problem-solving. Around the same time, my father became a strong influence on my thinking. He served as an Assistant Controller of Defense Accounts (A-CDA) for Government of India and he led an early initiative to move the Indian Army’s payment processes from manual, paper-based workflows to computerized systems. With his background in finance and practical exposure to computerized payment systems, I was able to see early on how technology and finance intersect in real-world operations. I still remember accompanying him to his office for a public demonstration, watching how technology could transform complex, real-world processes.

Seeing both my sister’s persistence in computing and my father’s work at the intersection of finance and technology made computer engineering feel like a natural choice for me. It wasn’t just about coding — it was about using technology to build secure and reliable systems that create meaningful, lasting impact, particularly in the finance domain.

Can you share the most exciting story that has happened to you since you began at your company?

One of the most exciting moments early in my journey at the company was being brought into a critical modernization effort: moving from a monolithic Oracle ITX–based system to a more robust microservices architecture. We were transitioning tightly coupled legacy systems to a cloud-native data intensive platform, all while supporting live transaction traffic. The margin for error was essentially zero, with an expected uptime of 99.999% under strict SLAs.

At the same time, we were focused on fully leveraging modern system capabilities, such as intelligent caching system, to reduce expensive downstream API calls that relied on other service providers. Those architectural decisions had a direct business impact, ultimately saving the company millions by allowing us to operate at lower pricing tiers without compromising performance or reliability.

Midway through one of the initial rollouts, we encountered a scenario where seemingly small design choices had the potential to ripple across multiple downstream systems. Rather than reacting in silos, I worked closely with engineers, product leaders, and platform teams to slow the moment down, assess the trade-offs, and make a deliberate architectural decision. It wasn’t just about fixing an immediate issue — it was about establishing patterns the team could rely on going forward. This included and not limited to tuning database and web client connection pools, enabling graceful failover across regional data centers, setting up Splunk alerts, implementing application monitoring through New Relic, and choosing the right deployment strategies (blue-green or canary deployments) — knowing that any change could directly affect customer experience across payment systems.

What made the experience especially meaningful was watching the team come together under pressure. Junior engineers stepped up, asked thoughtful questions, and grew more confident navigating complex systems. That moment reinforced something I strongly believe good architecture isn’t just about building systems, it’s about empowering people to make better decisions.

Looking back, that experience shaped how I think about building resilient payment platforms and leading teams through uncertainty. It reminded me that the most exciting work often happens at the intersection of trust, clarity, and collaborative engineering. And if I find myself not doing the late-nighttime checks or if a bland slice of pizza somehow tastes amazing, I usually know I’m working on something challenging, meaningful, and worthwhile.

What are some of the most interesting or exciting projects you are working on now? How do you think that might help people?

Some of the most exciting projects I’m currently working on are centered around emerging payment technologies such as Card-on-File (COF) platforms, NFC-based payments, digital wallets, push provisioning, and virtual cards. Together, these initiatives are reshaping how people pay by making transactions faster, more secure, and far more convenient.

The core goal of this work is to enable secure, tokenized payment systems with seamless wallet provisioning. As a result, customers no longer need to rely on physical wallets or cards. Instead, their everyday personal devices — such as smartphones and smartwatches — become the primary payment instrument. Whether it’s tapping to pay in-store, completing a transaction online, or authorizing a recurring payment, the experience becomes simpler and more intuitive.

Technologies like VPAN (Virtual Primary Account Number) make it possible for customers to begin transacting on the very first day their account is approved, without waiting for a physical card to arrive. Behind the scenes, the systems I work on are designed to balance security, reliability, and performance at scale. COFs and VPANs help protect sensitive card data and allows customer with ease of loading their card information securely as a tokenized information, while NFC and push provisioning allow customers to get started quickly with minimal setup. For customers, this means confidence and ease; for businesses, it results in fewer failed transactions and a smoother overall payment experience.

What makes this work especially rewarding is seeing how these technologies quietly improve everyday life. Payments fade into the background, allowing people to move through their day with one less thing to think about — just a tap or click using a device they already carry.

You’re a successful business leader. What are three traits about yourself that you feel helped fuel your success? Can you share a story or example for each?

1. Calm Decision Making Under Pressure — The payments industry is a high-stakes environment where urgency and noise are often amplified. Over time, I’ve learned that staying calm and taking the time to make the right decision — especially when others feel rushed, this can be a real competitive advantage.

Example:

During a database resiliency rollout, we encountered unexpected failures at one data center while transitioning live traffic. The challenge was to maintain continuity by safely leveraging a secondary data center using circuit breaker patterns. Rather than reacting impulsively, I worked closely with engineers and stakeholders to pause, assess the trade-offs, and choose an approach that balanced customer experience, operational risk, and long-term maintainability. That moment-built trust across teams and set a clear tone for how we handle critical situations.

2. People-First Leadership — No system succeeds without the people behind it. Mentoring, listening, and creating space for others to think clearly are just as important as technical expertise.

Example:

During architectural discussions, I make it a point to involve junior engineers — not just during execution, but in the decision-making process itself. Watching them ask more thoughtful questions and grow confident in navigating complexity has been deeply rewarding. It also strengthens the team overall, because empowered engineers make better decisions long after a project ends.

3. System Thinking — I’ve always been drawn to understanding how things fit together, rather than focusing on isolated components. Early in my career and even more so in leadership roles, I learned how small design decisions can have outsized consequences.

Example:

During a payment modernization effort, what initially appeared to be a minor configuration change had the potential to affect multiple downstream systems, including fraud detection, settlement processes, payment processing, and customer notifications. Instead of optimizing locally, I stepped back to evaluate the system as a whole. That perspective helped me and the team avoid cascading failures and establish architectural patterns that could scale safely. It reinforced my belief that good decisions come from seeing the full picture, not just the immediate task.

Excellent, thanks so much for sharing that. I want to shift gears and talk about e-commerce. What was the original vision for your e-commerce business? What pain point(s) were you trying to solve for your customers?

The original vision for the e-commerce business was simple but ambitious: remove friction from how people interact with digital commerce, especially in a mobile-first world. In the early days, many e-commerce initiatives were functional but not seamless. Customers frequently encountered slow checkouts, unnecessary redirects to complete payments, repeated card entry at point-of-sale (POS) terminals, failed transactions, and limited flexibility in how they could pay, particularly across devices and channels.

The core pain point we set out to solve was complexity disguised as choice. Customers wanted speed, convenience, security, and assurance, but behind the scenes, payment systems were often fragmented and tightly coupled. From a business perspective, this led to frustrated customers abandoning transactions, inconsistent user experiences, and operational inefficiencies.

Emerging payment technologies and mobile commerce offered an opportunity to rethink this experience. By enabling device-based payments, tokenization, and seamless wallet integration, the goal was to make payments feel natural and intuitive, whether a customer was paying online, in-app, or at a physical location using a phone or watch.

At its core, the vision has always been about trust and ease. When customers can complete transactions effortlessly using the devices they already carry, without worrying about security, failures, or manual steps — e-commerce becomes a natural extension of everyday life. Solving this problem at scale is what continues to drive the work forward.

How do you see the e-commerce industry evolving in the coming years?

E-commerce is steadily evolving toward becoming invisible, ambient, and device centric. In the coming years, the most successful platforms won’t be the ones that add more steps or choices, but the ones that remove friction — especially around payments and identity, without compromising security or resilience.

One major shift already underway is the move toward mobile-first and wallet-based commerce. Smartphones, wearables, and connected devices are increasingly replacing physical cards, wallets, and even passwords. Technologies such as tokenization: through Card-on-File (COF), Virtual PANs (VPANs), and NFC, enable customers to transact securely with a simple tap or glance, whether they’re shopping online, in-app, or in person.

We’ll also see e-commerce become more context-aware and personalized, driven by intelligent signals rather than manual inputs. Artificial intelligence will quietly tailor experiences, help prevent fraud, and reduce transaction failures, all while remaining largely invisible to the end customer. The focus will shift from simply “adding intelligence” to building systems that are predictable, secure, resilient, and trusted at scale.

Ultimately, the future of e-commerce is less about novelty and more about confidence. When customers trust that a transaction will be fast, secure, and effortless using devices they already carry, commerce fades into the background, and that’s a win for both customers and the payments industry. Combined with contextual intelligence and personalization, this evolution will continue to drive growth and meaningful innovation, which is exactly where the industry is headed.

How do you balance the need for innovation and experimentation with maintaining a stable, reliable e-commerce infrastructure?

Balancing innovation with stability isn’t about choosing one over the other, they complement each other. In e-commerce, especially in payments, experimentation only matters if the underlying platform is stable. If customers can’t trust the system, no amount of innovation will succeed.

My approach to this balance is to separate experimentation from the core transaction path. Core payment flows are intentionally designed to be stable, predictable, and highly resilient, backed by years of refinement and operational learning. Innovation happens around these flows through feature flags, controlled rollouts, sandbox environments, and well-defined API versioning. This allows new ideas to be tested safely without putting customer experience or system reliability at risk.

Strong observability and guardrails are equally important. Real-time monitoring, clear rollback strategies, and well-defined SLAs allow teams to move quickly while knowing exactly when to slow down. This creates a culture where experimentation is encouraged, but accountability is built in.

Equally important is how teams are empowered. Engineers are encouraged to experiment, while also being mindful of downstream impact and system-wide effects. Innovation becomes less about moving fast at any cost and more about making informed, reversible decisions that the organization can confidently stand behind.

Ok super. Here is the central question of our interview. What five emerging trends do you believe will have the biggest impact on payment processing in e-commerce? Please explain each in detail.

1 . Tokenization and Virtualized Payments Becoming the Default — Tokenization through Card on File (COFs) and Virtual PANs (VPAN) is rapidly becoming the foundation of modern payment systems. Instead of exposing sensitive card data, acquisition and transactions will rely on more purpose filled, secured tokens.

Why it matters?

For customers, this reduces the risk without adding frictions. For business, it improves authorization rates, simplifies compliance, and enable faster onboarding, often allowing customers to transact on day one, even before the physical card arrives. Tokenization is no longer optional; it’s becoming more foundational for secure and scalable ecommerce.

2 . Mobile First, Wallet-Based Commerce — E-Commerce is increasingly becoming device centric. Smartphones, wearables, and connected devices are replacing physical wallets and traditional authentication methods.

Why it matters?

Customers expect to complete the purchase seamlessly across online, in-app and in-store contexts using the devices they already carry. Wallet based payments cuts the friction, reduces card abandonment, and unifies customer experiences across channels.

3 . Buy Now, Pay Later (BNPL) as a Native Option — Buy now, Pay Later has moved from niche financing to a mainstream payment choice, especially in mobile commerce.

Why it matters?

BNPL gives customers predictable flexibility without requiring traditional credit or long-term loans. When integrated responsibly into the checkout flow, it can increase conversion rates and average order value by reducing upfront friction. From a platform perspective, BNPL must be tightly orchestrated with risk assessment, settlement, and compliance systems to ensure scalability and trust. Providers like Synchrony have played a significant role in scaling BNPL for large e-commerce ecosystems, demonstrating how installment-based payments can be embedded seamlessly into modern checkout experiences.

4 . Cryptocurrencies and Digital Asset Payments — Cryptocurrencies are no longer viewed as purely experimental payment options and are gradually finding their place in e-commerce — particularly in cross-border and digital-first use cases. While early crypto adoption was limited by price volatility, stablecoins are helping address this challenge by enabling fast, blockchain-based payments without the instability typically associated with traditional cryptocurrencies.

Why it matters:

From a platform perspective, cryptocurrencies introduce programmability and transparency through blockchain infrastructure, while still requiring strong compliance, risk management, and regulatory controls. As these guardrails continue to mature, crypto-based payments alongside stablecoins have the potential to complement traditional payment methods, especially in global e-commerce scenarios where speed, cost, and accessibility matter most.

5 . AI-Driven Fraud Detection and Intelligent Decisioning — Artificial intelligence is quietly transforming how risk is assessed and decisions are made in modern payment systems.

Why this matters?

AI driven payment systems analyze a wide range of contextual behavioral signals in real time, such as device fingerprints, transaction patterns, location consistencies, and historical behavior — to detect anomalies that traditional rule-based systems often miss. This allows platforms to prevent fraud proactively while minimizing false declines.

For customers, this means fewer unnecessary interruptions during checkout and a smoother payment experience. For businesses, it results in higher approval rates, reduced fraud losses, and lower operational overhead, as fewer transactions require manual review. Over time, these systems will continue to learn and adapt to evolving fraud patterns, making payment platform more resilient without adding frictions.

When applied thoughtfully, AI doesn’t replace existing controls, it is enhancing them. The goal is to not introduce visible complexity, but to build an intelligent, adaptive systems that protects transactions quietly in the background while allowing legitimate commerce to flow seamlessly.

YouTube link: https://youtu.be/rZn3WVLzxV4

Is there a past trend that’s now common practice in payment processing that you would have spent 50% more time focusing on? Which one and why?

Yes — digital wallets, instant push provisioning, and flexible account models such as SEMU and SE Lite are areas I would have spent significantly more time focusing on earlier.

As digital payments evolved, it became clear that a single physical card number was no longer sufficient to support emerging use cases like wallets, virtual cards, subscriptions, and device-based payments. This is where models like Single Entity Multi Unit (SEMU) and Single Entity Lite (SE Lite) quietly became foundational and was a differentiating factor.

In a SEMU model, a single customer account can be associated with multiple payment units — such as physical cards, Card-on-File credentials, Virtual PANs, and digital wallets — each with its own identifier. This allows greater flexibility, improved security, and better control across channels and devices. In contrast, SE Lite uses a single identifier across the account and physical card, simplifying certain use cases while still supporting modern payment experiences.

The reason I would have invested more time here is that these models fundamentally changed how payments scale. SEMU enables safer digital commerce by isolating risk across different payment instruments, while SE Lite offers simplicity where appropriate. Together, they allow platforms to support emerging payment experiences — such as instant wallet provisioning, device-based payments, and tokenized credentials without forcing a one-size-fits-all approach.

Today, these concepts are considered table stakes in modern payment platforms. Looking back, treating SEMU and SE Lite as core payment design principles, rather than internal abstractions, would have accelerated innovation and reduced complexity as commerce shifted toward mobile, wallet-first, and multi-channel experiences.

Looking ahead, what are the biggest opportunities and challenges facing payment processing for e-commerce, and how do you plan to address them in the coming years?

Looking ahead, the biggest opportunity in e-commerce payments is delivering frictionless, flexible experiences while maintaining customer trust. Customers increasingly expect instant, device-based payments through digital wallets, BNPL options, and mobile-first experiences, across borders and channels.

AI will play a growing role in enabling this shift, particularly in fraud detection, risk decisioning, and personalization. However, as AI becomes more embedded in payment flows, ethical use, transparency, and security become just as important as performance. Poorly governed AI can introduce bias, create opaque decisioning, or challenge customer trust if outcomes can’t be explained or challenged.

The challenge is balancing innovation with responsibility. Supporting wallets, BNPL, and global commerce requires platforms that are not only scalable and secure, but also governed by clear policies around data usage, model oversight, and regulatory compliance. Strong governance frameworks including human-in-the-loop controls, auditability, and clear accountability are essential to ensure AI-driven decisions remain fair, explainable, and aligned with business and regulatory expectations.

My focus going forward is on building strategic payment platforms that embed security, ethical AI, and governance at the core rather than treating them as afterthoughts. When innovation is guided by trust, transparency, and strong controls, payments can scale responsibly and deliver lasting value for both customers and businesses.

You are a person of significant influence. If you could start a movement that would bring the most amount of good to the most amount of people, what would that be? You never know what your idea can trigger. :-)

If I could start a movement, it would focus on strong governance and clear regulations for building secure, intelligent checkout experiences where AI protects customers without exposing or exploiting their data. Accountability would be central, with meaningful consequences for misuse or negligent handling of customer information.

As checkout experiences become increasingly powered by AI driving fraud detection, personalization, and decisioning vast amounts of customer data are processed in real time. The opportunity is enormous, but so is the responsibility. Stronger transaction vetting should happen invisibly in the background, improving security without adding friction or forcing customers to trade convenience for privacy.

This movement would advocate for privacy-first, security-by-design AI in checkout flows. That means minimizing data collection, protecting sensitive information through tokenization, and ensuring AI models are transparent, explainable, and governed by clear, enforceable policies. Customers should benefit from smarter decisions without feeling monitored, blocked, or confused by opaque outcomes.

The goal is simple: smarter checkouts, stronger protection, and responsible AI before poor practices become the norm. If we act now, we can build payment experiences that earn lasting trust while quietly working in the background to keep customers safe.

How can our readers further follow your work online?

Linked: https://www.linkedin.com/in/sbkumaran

I want to thank you so much for your time and for sharing your expertise with us. I wish you continued success!