EP1010: Embedded compliance, digital assets and more

This interview features Krishna Subramanyan discussing the major FinTech trends expected to shape the financial industry in 2025. The conversation highlights the growing importance of embedded compliance, where regulatory processes are integrated directly into digital workflows to improve efficiency and reduce operational costs. Subramanyan also explains that digital assets and central bank digital currencies are likely to gain wider mainstream acceptance due to more supportive political and regulatory environments. The interview identifies artificial intelligence as a key driver for improving operational decision-making, strengthening security systems, and enhancing risk management. Additionally, these technological developments are expected to make cross-border payments faster, more accessible, and more efficient for businesses, especially SMEs. Overall, the discussion demonstrates how innovation is helping financial institutions manage an increasingly complex global regulatory landscape while improving customer experiences and operational agility.

Transcript

SPEAKER_01 0:00

Every single day, um, something like seven trillion dollars crosses international borders. Aaron Powell Yeah.

SPEAKER_00 0:05

It is a staggering amount of money.

SPEAKER_01 0:06

Trevor Burrus, Jr.: It really is. And you know, if you were to ask most people working in the markets how that actually happens, they would probably describe an underlying infrastructure that, well, functionally peaked in the 1980s.

SPEAKER_00 0:17

Aaron Powell Oh, absolutely. And I mean, for decades now, global finance has relied on this really fractured, totally sequential system of uh correspondent banks and manual verifications.

SPEAKER_01 0:30

Aaron Powell Right. We are talking about a system where an international transfer isn't really money moving at all. It is just a series of digital messages hopping from one institutional ledger to another.

SPEAKER_00 0:39

Aaron Powell Exactly, and hitting regulatory roadblocks at every single border along the way.

SPEAKER_01 0:43

Aaron Powell Yeah. But here's the thing: the architecture beneath all those massive capital flows is currently undergoing a foundational rewrite. Trevor Burrus, Jr.

SPEAKER_00 0:50

A huge one.

SPEAKER_01 0:51

Right. A shift so substantial that anyone operating a business, analyzing markets, or you know, even just tracking global trade really needs to understand the new mechanics being deployed right now in 2025.

SPEAKER_00 1:02

Aaron Powell Because the transition happening in the back end is fundamentally changing the velocity of capital. I mean, the existing infrastructure relies on these sequential hops. So friction is basically built right into the DNA of the system.

SPEAKER_01 1:15

It is a feature, not a bug at this point.

SPEAKER_00 1:17

Yeah, pretty much. But what we're seeing now is the deployment of an entirely new financial stack. And it's designed to completely eliminate that friction.

SPEAKER_01 1:26

So we are moving from legacy messaging systems to real-time interoperable networks.

SPEAKER_00 1:33

Right. But because all of this happens deep in the institutional plumbing, the sheer scale of the change is going largely unnoticed by the broader public.

SPEAKER_01 1:41

Aaron Powell Untacking that hidden machinery is exactly our mission for this deep dive. Today we are taking you beneath the surface of the 2025 global economy to look at the mechanisms driving this overhaul.

SPEAKER_00 1:52

We are getting into the weeds.

SPEAKER_01 1:54

Oh, we are definitely getting into the weeds. We're looking at the reality of automated regulatory tech, how AI is fundamentally altering server loads and transaction routing and uh the aggressive institutionalization of digital assets.

SPEAKER_00 2:08

Aaron Powell It is a lot to cover.

SPEAKER_01 2:09

It is. But our roadmap for this comes from a really highly technical and revealing January 2025 interview in the IBSI FinTech Journal. It's an interview with Krishna Supermanyan, who is the CEO of the global cross-border payment provider, Brukbond.

SPEAKER_00 2:26

And um Subramean offers a really critical vantage point here. I mean, he is not approaching this from some theoretical or you know academic perspective. Trevor Burrus, Jr.

SPEAKER_01 2:36

Right. He is actually doing the work.

SPEAKER_00 2:38

Exactly. Brukbond is actively architecting the software and the liquidity networks that literally bypass traditional correspondent banking.

SPEAKER_01 2:47

Wow.

SPEAKER_00 2:47

So when he discusses the integration of artificial intelligence and digital assets, he is talking about the live deployment of these technologies to solve like immediate bottlenecks in global trade.

SPEAKER_01 2:56

Okay, let's unpack this because the first major mechanism Supermanion highlights is something that usually causes eyes to completely glaze over in boardrooms.

SPEAKER_00 3:04

I mean, yes, regulatory compliance. Trevor Burrus, Jr.

SPEAKER_01 3:05

You got it. Regulatory compliance. I mean, on the surface, compliance sounds like a pure cost center, right? Just a defensive posture to avoid getting hit with massive fines.

SPEAKER_00 3:14

Yeah, that is how everyone traditionally thinks about it.

SPEAKER_01 3:16

Aaron Powell But Supermanion frames the 2025 wave of European and global regulations not as a burden, but as the primary catalyst that is forcing the modernization of the entire financial tech stack. Trevor Burrus, Jr.

SPEAKER_00 3:29

Which is such a fascinating way to look at it. Trevor Burrus, Jr.

SPEAKER_01 3:31

It is. And understanding this specific shift gives you a massive edge in seeing how the new economy actually operates.

SPEAKER_00 3:39

Well, to really appreciate the shift, you have to look at the traditional bottleneck. Historically, when a complex cross-border transaction is flagged, it drops into a cue. Trevor Burrus, Jr.

SPEAKER_01 3:48

Like a literal waiting room for money.

SPEAKER_00 3:50

Basically, yeah. And then the human compliance officer has to manually cross-reference the transaction details against multiple, often totally conflicting international regulatory frameworks.

SPEAKER_01 4:00

We're talking anti-money laundering protocols, know your customer databases, global sanctions lists.

SPEAKER_00 4:05

All of it. It is a highly manual, totally sequential process. So the solution to the incoming 2025 regulatory wave is a complete architectural pivot to what the industry is calling embedded compliance.

SPEAKER_01 4:17

Embedded compliance. The source material describes this as taking those isolated manual verifications and integrating them directly into the core of the banking workflow itself.

SPEAKER_00 4:28

Right, it is no longer a separate step.

SPEAKER_01 4:29

Exactly. Supermanion likens it to the invisible security protocols running in the background of a mobile banking session. Financial institutions are leveraging APIs to deliver automated, multi-jurisdictional checks in real time.

SPEAKER_00 4:43

And the mechanics of how those APIs function is where the real transformation actually lies. Because in a legacy system, compliance is a distinct checkpoint.

SPEAKER_01 4:53

A literal toll booth.

SPEAKER_00 4:54

Yeah, a toll booth. The transaction travels along the network, it stops at the compliance gate, gets reviewed, and then finally proceeds. But embedded compliance alters the data structure of the transaction itself.

SPEAKER_01 5:05

Wait, how does it change the structure?

SPEAKER_00 5:07

Well, the compliance parameters, those multi-jurisdictional rules we talked about, they are essentially coded into the metadata of the transaction payload from the very moment of initiation.

SPEAKER_01 5:17

So instead of a payment hitting a border wall and waiting for a guard to check its paperwork, the transaction itself is just like constantly self-verifying its compliance against live regulatory databases as it moves through the network.

SPEAKER_00 5:32

Precisely.

SPEAKER_01 5:36

That is wild.

SPEAKER_00 5:37

The API allows the transaction to simultaneously ping European banking regulators, US Treasury databases, and local Asian market rules all in milliseconds.

SPEAKER_01 5:48

All at the same time. Okay, I have to jump in here because if we are automating a system that was specifically designed to catch bad actors, I have to push back on the security implications of this. Sure. If these checks are completely invisible, happening in milliseconds, and we are basically removing the human oversight that has historically served as the brakes of the financial system, aren't we introducing a massive systemic risk?

SPEAKER_00 6:17

Aaron Powell It seems like it, right?

SPEAKER_01 6:19

Trevor Burrus Yeah. I mean, relying entirely on an automated API to catch, say, really sophisticated money laundering seems inherently dangerous.

SPEAKER_00 6:26

Aaron Powell It is a valid concern, but the risk profile actually decreases here. And the reason comes down to the fundamental limitations of human pattern recognition.

SPEAKER_01 6:37

Aaron Powell Okay, tell me more about that.

SPEAKER_00 6:39

Aaron Powell Well, a human compliance officer reviewing a flagged transaction is really just looking at a static snapshot of data.

SPEAKER_01 6:46

Aaron Powell And they get tired.

SPEAKER_00 6:47

Exactly. They are prone to fatigue, subjective interpretation, and honestly, they can only analyze a limited number of variables at once. Right. But embedded compliance is continuously cross-referencing thousands of data points. We're talking IP addresses, historical transaction frequencies, micro-variations in routing behavior. Trevor Burrus, Jr.

SPEAKER_01 7:07

So things a human wouldn't even think to look at.

SPEAKER_00 7:10

Or just physically couldn't process fast enough? The API checks all of that against global fraud registries in real time. It catches the microscopic anomalies that human oversight just fundamentally misses.

SPEAKER_01 7:20

Aaron Ross Powell Making the verification process not just faster but mathematically more rigorous. But okay. Moving that massive amount of metadata and running parallel, multi-jurisdictional checks in milliseconds, that requires an unbelievable amount of computing power.

SPEAKER_00 7:36

Aaron Powell Oh, a massive amount. Aaron Powell Right.

SPEAKER_01 7:38

If traditional banking servers had to process that level of deep cryptographic checking on every single transfer, the system would just collapse under its own weight. Trevor Burrus, Jr.

SPEAKER_00 7:46

It would completely break. Trevor Burrus, Jr.

SPEAKER_01 7:48

Which clearly necessitates a different kind of operational engine.

SPEAKER_00 7:51

Aaron Powell And that requirement for sheer processing capability brings us directly to the role of artificial intelligence in the 2025 financial stack.

SPEAKER_01 7:59

Trevor Burrus AI is everywhere right now.

SPEAKER_00 8:01

It really is. But the text emphasizes that while AI is dominating headlines globally, its application in embedded compliance is highly, highly specialized.

SPEAKER_01 8:11

Aaron Powell So we aren't talking about ChatGPT writing banking emails.

SPEAKER_00 8:14

No, not at all. Financial institutions aren't using generative models here. They are deploying predictive AI to solve a very specific hardware problem.

SPEAKER_01 8:23

Supermanions states that companies are utilizing cost-effective AI specifically to optimize computational resources to minimize internal processing costs. The source notes this is critical for speeding up operational decision making. So wait, the AI here is essentially analyzing the metadata of incoming transactions and dynamically deciding how much server power to allocate to them.

SPEAKER_00 8:46

Yes. It basically acts as a predictive load balancer.

SPEAKER_01 8:49

Okay.

SPEAKER_00 8:49

Consider the sheer volume of data a global payment provider handles. If the system routed a simple domestic transfer through the exact same heavy compliance servers required for like a complex corporate transfer between Europe and Asia. And the latency would totally spike. So the AI models analyze the metadata packet before the full processing even begins.

SPEAKER_01 9:13

Oh wow.

SPEAKER_00 9:14

They predict the computational weight of the necessary compliance checks and then dynamically route the transaction to the most efficient server node.

SPEAKER_01 9:22

Aaron Powell Let's look at the incentives there, though. Because if an algorithm is dynamically throttling or redirecting server resources based on cost efficiency, is this AI integration primarily just a mechanism for massive financial institutions to slash their Amazon Web Services bills?

SPEAKER_00 9:38

Aaron Powell I can see why it looks that way.

SPEAKER_01 9:40

Right. Because while saving internal processing costs is great for a bank's quarterly earnings, it doesn't immediately explain why, you know, a business owner and investor should care about the underlying technology.

SPEAKER_00 9:51

Well, reducing that computing cost per transaction is actually the foundational requirement that makes high-level security possible for the end user in the first place.

SPEAKER_01 10:00

How so?

SPEAKER_00 10:01

Because if a bank cannot optimize its computational resources, the sheer cost of running deep level fraud detection becomes completely prohibitive.

SPEAKER_01 10:10

Okay, I see.

SPEAKER_00 10:11

Without that AI-driven routing, institutions would essentially be forced to reserve their most sophisticated security algorithms only for high-value corporate transfers.

SPEAKER_01 10:20

Aaron Powell Leaving standard business transactions totally vulnerable.

SPEAKER_00 10:24

Exactly. By using AI to drive the processing cost down to fractions of a cent, institutions can finally afford to apply neural network level fraud detection universally across every single transaction on the entire network.

SPEAKER_01 10:36

Okay, so when you have an infrastructure capable of processing complex compliance metadata at that speed, the traditional fiat currency currently moving through the system suddenly looks like the weak link.

SPEAKER_00 10:49

It really does. It's too slow.

SPEAKER_01 10:50

Yeah. And here is where it gets really interesting. Because according to the interview, the asset flowing through these newly optimized pipes in 2025 is actively shifting. We are seeing the mainstream integration of digital assets into standard financial operations.

SPEAKER_00 11:06

And the source highlights a transition here from speculative niche applications toward actual foundational integration. Right. But the primary driver of this shift is not independent cryptocurrency, it is central bank digital currencies or CBDCs.

SPEAKER_01 11:21

And the statistics supermanion sites is staggering. 94% of central banks globally are currently considering or actively developing CBDCs. I mean, this isn't just an upgrade to a database. It is a fundamental redesign of fiat currency.

SPEAKER_00 11:36

It really is. And to grasp the magnitude of that figure, you have to understand the architectural difference between current digital money and a CBDC.

SPEAKER_01 11:44

Break that down for us.

SPEAKER_00 11:45

Sure. So when you view a balance in a traditional bank account today, you're essentially just looking at an IOU from a commercial bank.

SPEAKER_01 11:52

Right. The money exists as an entry on that specific bank's private ledger. Trevor Burrus, Jr.

SPEAKER_00 11:56

Exactly. But a CBDC operates entirely differently. It is a direct liability of the central bank itself. It is minted on a digital ledger, often utilizing blockchain or distributed ledger technology.

SPEAKER_01 12:09

And the text notes that this shift toward CBDCs signals a move toward greater efficiency and promises real growth in financial accessibility.

SPEAKER_00 12:18

It's a huge step forward for inclusion.

SPEAKER_01 12:20

Definitely. And the text also highlights a very specific market signal in the United States regarding this transition. Trevor Burrus, Jr.

SPEAKER_00 12:26

Right. The political appointment.

SPEAKER_01 12:27

Yeah. In December 2024, the incoming Trump administration appointed David Sachs, who is a South African American entrepreneur and general partner at Crack Ventures, as the White House AI and Cryptocurrency Czar.

SPEAKER_00 12:39

Trevor Burrus, Jr. Yes. And the journal presents this strictly as an indicator of an environment that is structurally favorable to digital asset adoption at the very highest levels of government.

SPEAKER_01 12:49

Which underscores the broader theme of the interview, really, which is institutionalization.

SPEAKER_00 12:53

Trevor Burrus, Absolutely. When you have 94% of the world's central banks actively developing digital ledgers and executive level roles being created to manage the regulatory frameworks for those assets.

SPEAKER_01 13:07

The technology is fully transitioning into the establishment infrastructure. Trevor Burrus, Jr.

SPEAKER_00 13:11

It is no longer on the fringes.

SPEAKER_01 13:12

Aaron Powell But there is a glaring ideological tension here. I mean, the foundational architecture of digital assets, specifically blockchain technology and early cryptocurrencies, was engineered as a direct response to the 2008 financial crisis. Trevor Burrus, Jr.

SPEAKER_00 13:27

Right. It was inherently anti-establishment.

SPEAKER_01 13:29

Trevor Burrus, Exactly. The explicit goal was decentralization, creating a system that bypasss central banks and government control entirely. But now those exact same central banks are co-opting the technology to mint their own programmable currencies. How does a centrally controlled, highly regulated digital asset reconcile with the decentralized architecture it is literally built on?

SPEAKER_00 13:53

The short answer is it doesn't.

SPEAKER_01 13:54

It doesn't.

SPEAKER_00 13:55

No, it doesn't reconcile with the ideology at all. It basically strips the ideology away entirely while extracting the operational utility.

SPEAKER_01 14:03

Oh, I see.

SPEAKER_00 14:04

What major financial institutions and governments realized is that the underlying mechanics, the immutable ledger, the cryptographic security, the ability to settle transactions instantly without a trusted third-party intermediary.

SPEAKER_01 14:18

Those are just incredibly efficient tools for managing capital.

SPEAKER_00 14:21

Exactly. They're just tools. By migrating those mechanics into a controlled permissioned environment, a CBDC allows a government to track and settle capital flows with unprecedented precision.

SPEAKER_01 14:34

So the asset itself becomes programmable money.

SPEAKER_00 14:37

Right, which integrates perfectly with the automated API compliance we were discussing earlier.

SPEAKER_01 14:42

Okay, so we have mapped out the macro architecture here. We've got the embedded compliance APIs, the AI load balancers, the shift to programmable CBDCs.

SPEAKER_00 14:51

The whole plumbing system.

SPEAKER_01 14:52

Right. But how does this newly integrated stack actually alter the mechanics of commerce for businesses operating on the ground?

SPEAKER_00 14:57

Aaron Powell Well, the interview anchors these macroeconomic shifts, specifically in the realm of cross-border payments.

SPEAKER_01 15:04

Okay.

SPEAKER_00 15:04

As institutions transition to these digital first frameworks in 2025, international trade operations are becoming faster and significantly more cost-effective. And Subermanion specifically highlights the impact on SMEs.

SPEAKER_01 15:19

Small and medium-sized enterprises.

SPEAKER_00 15:21

Yes.

SPEAKER_01 15:21

Because historically, the complexity and cost of global trade disproportionately burden smaller businesses.

SPEAKER_00 15:27

Oh, completely.

SPEAKER_01 15:28

If a mid-sized manufacturing firm needs to pay a supplier in another hemisphere, they are entirely reliant on that legacy correspondent banking network we talked about.

SPEAKER_00 15:38

And all the friction that comes with it.

SPEAKER_01 15:40

Right. They face unpredictable exchange rate markups, opaque wire fees, and multi-day settlement delays. It's a nightmare. But Supermanion points out that financial institutions are expanding geographically through partnerships to create what he calls local payment networks.

SPEAKER_00 15:55

Aaron Powell And the architecture of a local tayment network is just a brilliant workaround to the legacy system.

SPEAKER_01 16:00

How so?

SPEAKER_00 16:01

Because instead of pushing a single transaction through three different correspondent banks across borders, a provider like Brooke Bond establishes liquidity pools, which are essentially local accounts in multiple target jurisdictions.

SPEAKER_01 16:15

Wait, so if a business in North America needs to pay a vendor in Europe, the money doesn't actually travel across the ocean through a chain of banks.

SPEAKER_00 16:23

Exactly the opposite. It doesn't travel at all.

SPEAKER_01 16:26

Wow.

SPEAKER_00 16:26

The North American business just deposits the funds into the provider's local North American liquidity pool. Okay. And then simultaneously, the provider's back-end system, utilizing those AI compliance APIs we just talked about, verifies the transaction instantly and triggers a payout from their European liquidity pool directly to the vendor.

SPEAKER_01 16:46

So it transforms a complex international wire into two rapid domestic transfers coordinated seamlessly by the platform's back end.

SPEAKER_00 16:52

That is exactly what happens. And this drastically reduces the capital required for an SME to operate in international markets. It really levels the playing field against massive multinational corporations.

SPEAKER_01 17:03

But deploying a system that handles live liquidity pools, AI-driven compliance routing, and digital asset integration simultaneously, that requires rigorous stress testing.

SPEAKER_00 17:15

You definitely cannot just flip a switch on that.

SPEAKER_01 17:17

Right. You can't just route billions of dollars through untested infrastructure. And the source details how Bruch Bonn is actually proving these models by operating within the monetary authority of Singapore's regulatory sandbox.

SPEAKER_00 17:29

Aaron Powell Yeah, the MAS regulatory sandbox is a critical mechanism for the fintech sector right now.

SPEAKER_01 17:34

Trevor Burrus Supermanion notes that operating within it gives them the freedom to experiment with complex integrations, particularly regarding AI, while minimizing compliance friction.

SPEAKER_00 17:45

Which is huge for innovation.

SPEAKER_01 17:46

It is, but when you hear the term regulatory sandbox in the context of global finance, it immediately raises red flags for me.

SPEAKER_00 17:53

Aaron Powell I get that. It sounds a bit chaotic.

SPEAKER_01 17:55

Yeah, it sounds like a designated zone where companies are permitted to just play fast and loose with actual capital and bypass the rules. If a company is testing experimental AI routing algorithms on live cross-border payments, how does a sandbox not just introduce systemic vulnerability right into the market?

SPEAKER_00 18:12

Aaron Powell Well, the terminology is slightly deceptive because a regulatory sandbox is actually one of the most restrictive and heavily monitored environments in all of finance.

SPEAKER_01 18:23

Oh, yeah.

SPEAKER_00 18:24

Because it's not an exemption from the rules at all. It is a highly controlled, totally ring-fenced API environment.

SPEAKER_01 18:29

Aaron Powell Okay, so how does it actually work then?

SPEAKER_00 18:31

Aaron Powell When a company like Brute Bond deploys an untested technology, say a new predictive AI model for multicurrency routing, the existing financial regulations often just don't have the technical frameworks to govern it yet.

SPEAKER_01 18:45

Aaron Powell Because the tech is too new.

SPEAKER_00 18:46

Exactly.

SPEAKER_01 18:47

So the regulators and the technologists basically have to build the plane while they are flying it.

SPEAKER_00 18:51

Aaron Powell Exactly, but they're flying it in a wind tunnel, not over a populated city.

SPEAKER_01 18:54

Aaron Powell Oh, I like that analogy.

SPEAKER_00 18:56

The MAS regulators work directly alongside the engineers. They cap the transaction volumes, they limit the number of participating clients, and they mandate real-time data reporting from the nodes.

SPEAKER_01 19:06

Aaron Powell So they are watching every single move.

SPEAKER_00 19:08

Yes. They monitor the AI's decision-making logic live to ensure it doesn't trigger cascading liquidity failures or violate anti-money laundering protocols under stress. Right. It allows the technology to interact with live capital flows safely so that when the system finally scales to the global market, the operational parameters are completely bulletproof.

SPEAKER_01 19:30

So what does this all mean? If you step back and look at the aggregate picture Supermanion has provided for 2025, we are looking at an incredibly sophisticated, completely interconnected evolution of capital.

SPEAKER_00 19:42

Aaron Powell is a totally new era.

SPEAKER_01 19:44

We explored how the bottleneck of manual verifications is being eradicated by embedded compliance, where the regulatory rules are coded directly into the transaction metadata. We broke down how predictive AI models are actively analyzing those transactions to dynamically balance server loads, driving down processing costs and enabling universal deep level fraud detection.

SPEAKER_00 20:06

Which protects everyone.

SPEAKER_01 20:07

Exactly. And we look at the profound shift from legacy fiat to programmable central bank digital currencies, signaling a new era of institutionalized digital assets.

SPEAKER_00 20:18

The money itself is changing.

SPEAKER_01 20:20

Yeah. And finally, we saw how that advanced backend is actively deployed to build local payment networks, empowering smaller businesses to execute global trade with the efficiency of a simple domestic transfer. All rigorously tested in ring-fenced regulatory environments like the MAS sandbox.

SPEAKER_00 20:36

The synthesis of all these technologies means the friction that defined global finance for the last 40 years is actively being engineered out of the system.

SPEAKER_01 20:44

It's just vanishing.

SPEAKER_00 20:45

Basically. And for anyone engaging with a broader economy, recognizing these mechanisms is vital. You are no longer just looking at the surface level movement of capital. You now have a clear sightline into the underlying data architecture that actually dictates how fast, how far, and how securely that capital can travel.

SPEAKER_01 21:03

It entirely changes the perspective on what happens behind the scenes of a modern transaction. But as we close out this deep dive, there is an inherent paradox in this new architecture that is really worth considering.

SPEAKER_00 21:14

Oh, definitely.

SPEAKER_01 21:15

We are moving toward a frictionless ecosystem where compliance is invisible, AI dynamically routes our data, and central banks mint programmable money. Right. If the ultimate goal is to completely automate the friction out of the financial system, who ultimately holds the legal and ethical accountability, when an autonomous predictive algorithm inevitably makes a critical error at the speed of light.

SPEAKER_00 21:39

That is the big question. And honestly, that intersection of autonomous execution and institutional liability is going to be the defining challenge for regulators over the next decade.

SPEAKER_01 21:48

Something to keep in mind the next time you authorize a transfer and marvel at how quickly it settles. Thank you for joining us on this deep dive. We hope you walk away with a much sharper understanding of the invisible machinery driving the 2025 global economy. Keep analyzing the systems operating quietly in the background, and we will catch you on the next one.