EP957: Reprogramming Transaction Banking with Programmable Finance

Vaibhav Tambe, Co-founder & CEO, TransBnk

What happens when money becomes programmable? In this edition of The Big Interview, we spotlight how TransBnk is re-engineering transaction banking from the ground up.

Speaking with Co-founder and CEO Vaibhav Tambe, we explore how programmable finance allows businesses to embed logic directly into payments - releasing funds on milestone verification, automating sweeps, and reconciling in real time. The company’s recon-first architecture replaces end-of-day processes with continuous, rule-driven matching.

We also examine how Escrow-as-a-Service is opening secure, conditional fund flows to MSMEs, startups, and real estate players - capabilities once limited to large corporates. With 220+ clients and 40+ bank integrations, TransBnk is positioning itself as a treasury operating layer, built compliance-first and API-driven.

The larger ambition is clear: democratise sophisticated banking infrastructure and make intelligent money movement accessible at scale.

Transcript

SPEAKER_01 0:00

We're not just automating payments. We're teaching money to listen, act, and adapt.

SPEAKER_00 0:04

Aaron Powell It's um it's quite a bold claim, isn't it? Because usually is. Yeah, usually money just sort of sits there until you push it somewhere. The idea that it could listen feels a bit, I don't know, almost like sci-fi territory.

SPEAKER_01 0:18

Trevor Burrus, Jr. Completely. But that's exactly the hook for today's deep dive. We are tearing into this really dense, uh, really fascinating interview from the IBS FinTech Journal. It's with Weibhof Tumbit.

SPEAKER_00 0:30

The CEO of Transblink.

SPEAKER_01 0:32

Right, exactly. And the headline topic here is programmable finance.

SPEAKER_00 0:36

Aaron Powell, which is a term that I think gets misused a lot these days. Usually when people say programmable money, you know, they're talking about crypto.

SPEAKER_01 0:42

Trevor Burrus, Jr.: Yeah, smart contracts, Ethereum.

SPEAKER_00 0:44

Trevor Burrus, Jr.: Exactly, all that stuff. But what caught my eye here is that Kembe isn't talking about crypto at all. He's talking about the actual fiat money that's running through the traditional banking system right now.

SPEAKER_01 0:55

Aaron Powell And that's the distinction that really matters for us today. We're talking about transaction banking. And honestly, this is an area that uh, well, it usually puts people to sleep.

SPEAKER_00 1:03

Aaron Powell It's not the sexiest topic.

SPEAKER_01 1:05

Trevor Burrus, Jr. No, it's not. Because you look at the consumer side things like UPI if you're in India or Venmo in the US, and it's a party, you scan a QR code, the money zips across instantly, everyone is happy.

SPEAKER_00 1:17

It's seamless.

SPEAKER_01 1:18

Right. But the B2B side, the corporate side.

SPEAKER_00 1:21

It's still living in the 90s.

SPEAKER_01 1:22

It really is the fax machine in the corner of the office.

SPEAKER_00 1:25

Aaron Powell That is a painfully accurate description. While retail payments became instant and totally invisible, corporate transaction banking stayed um incredibly clunky.

SPEAKER_01 1:36

Trevor Burrus Batch processed.

SPEAKER_00 1:38

Yeah, batch processed, highly manual, full of friction. And TransBrick's mission effectively is to drag that entire infrastructure into the modern era.

SPEAKER_01 1:46

Aaron Powell So they basically want to do for corporate banking what UPI did for buying a cup of coffee.

SPEAKER_00 1:50

Aaron Powell That's a great way to put it, yeah.

SPEAKER_01 1:52

So let's dig right into this core concept. Teaching money to listen. What does that actually mean in a practical, day-to-day business sense? Because right now, you know, if I schedule a payment for next Tuesday, isn't that programming it?

SPEAKER_00 2:04

Aaron Powell Well, not really. That's just a timer. You're just telling the bank do X at time Y. Programmable finance, at least how Tambi defines it in the piece, is about logic.

SPEAKER_01 2:14

Aaron Powell Okay, logic.

SPEAKER_00 2:16

Yeah, it's about conditional execution. It's taking if-then statements and attaching them directly to the capital itself.

SPEAKER_01 2:22

Aaron Powell So instead of just pay on Tuesday, it's more like pay on Tuesday if the goods have been delivered.

SPEAKER_00 2:27

Aaron Powell And the quality check is verified, spot on. The money basically becomes aware of its real world context.

SPEAKER_01 2:33

Aaron Powell That's wild.

SPEAKER_00 2:34

It is. Tambi gives this really great example of a construction company. In the old world, managing cash flow for a massive project is a total nightmare.

SPEAKER_01 2:43

Oh, I can imagine. You've got vendors, subcontractors, all these milestones. Trevor Burrus, Jr.

SPEAKER_00 2:46

Right. And you're cutting checks, essentially just hoping the work actually got done properly.

SPEAKER_01 2:50

Aaron Powell And usually the money moves before the verification happens or the verification happens, and then the poor vendor is sitting there waiting 60 days for the cash.

SPEAKER_00 2:58

Exactly. But with programmable Rails, you encode the condition into the payment. The capital is there, it's sitting in the account, but it's locked. It's listening for a digital signal.

SPEAKER_01 3:09

Aaron Powell Like a thumbs up from a site inspector's app or something?

SPEAKER_00 3:12

Yes, exactly that. And the moment that data hits the system, the money just releases itself. No accounts payable clerk needs to sit there and review a massive spreadsheet.

SPEAKER_01 3:23

Wow. So that's the acting part of the quote. The money acts on its own.

SPEAKER_00 3:26

And it scales up to things like sweeping, which I actually think is one of the most underrated tools in treasury management.

SPEAKER_01 3:32

Aaron Powell Okay, stick a pin in that because sweeping sounds like janitorial work. Break that down for us.

SPEAKER_00 3:37

Aaron Powell I mean, in a way it is janitorial. It's cleaning up lazy capital. Yeah. So imagine you're a business with 10 different accounts. At the end of the day, you might have$50,000 sitting idle in one account,$20,000 in another.

SPEAKER_01 3:50

Just doing nothing.

SPEAKER_00 3:52

Doing absolutely nothing. It's actually losing value against inflation just sitting there.

SPEAKER_01 3:55

Aaron Powell So you want to move it to an interest-bearing account.

SPEAKER_00 3:58

Right. But doing that manually every single day at 4.55 PM is basically impossible.

SPEAKER_01 4:04

You'd need a whole team just for that.

SPEAKER_00 4:06

Exactly. So programmable finance turns that into a script. It's like having a smart thermostat, but for your cash. The system just senses, oh, this operational account has excess liquidity today, and it automatically sweeps it into a master account to earn interest overnight.

SPEAKER_01 4:22

And then just pushes it back before the markets open the next morning.

SPEAKER_00 4:25

Trevor Burrus, Jr. Yes. It optimizes the cash without a human ever having to make a decision or click a button.

SPEAKER_01 4:31

Aaron Powell So it's a massive shift. I think Tambi talks about moving from bending processes to legacy systems to making the rails adapt to business logic.

SPEAKER_00 4:41

Trevor Burrus That framing is crucial. Because traditionally, as a business, you essentially work for the bank. You have to submit your file by their cutoff time. You have to format your CSV exactly the way they want it.

SPEAKER_01 4:51

Right. If your business runs 24-7 but the bank closes at 5 D.M., well, too bad.

SPEAKER_00 4:55

Aaron Powell Exactly. Trans Bank is completely flipping that dynamic. They're saying the banking infrastructure should be flexible enough to wrap around your specific business model.

SPEAKER_01 5:04

Aaron Powell So if you're a logistics company, say, and your trucks arrive at 3 a.m. and you need to settle payments instantly right then to keep the drivers moving.

SPEAKER_00 5:11

Aaron Powell The banking layer should just handle that. No questions asked.

SPEAKER_01 5:15

Aaron Powell This really brings us to the democratization aspect of the interview. Tom A compares their ambition to UPI, like we mentioned, and UPI didn't just make retail payments faster, it made them accessible to literally everyone.

SPEAKER_00 5:27

Aaron Powell From a massive mall retailer down to a street vendor.

SPEAKER_01 5:31

Right. So what does democratization mean in this B2B context?

SPEAKER_00 5:35

Aaron Powell It means taking these incredibly high-end sophisticated treasury tools, which you know used to be the exclusive playground of Fortune 500 companies who had armies of engineers and making them available to everyone. Trevor Burrus, Jr.

SPEAKER_01 5:47

MSMEs, startups, gig economy platforms.

SPEAKER_00 5:50

Exactly.

SPEAKER_01 5:50

So a small fintech lender could essentially have the same smart money capabilities as a massive global bank.

SPEAKER_00 5:56

Aaron Powell That is the goal. But to actually pull that off, you have to completely fix the underlying clumbing. And this leads us to what I think is probably the most transformative part of the entire interview, even if it sounds incredibly boring on the surface.

SPEAKER_01 6:09

Oh, I know where you're going with this. You're talking about reconciliation.

SPEAKER_00 6:12

The dreaded R-word.

SPEAKER_01 6:13

Yes.

SPEAKER_00 6:14

Listen, I have friends who work in corporate finance, and I know for a fact that month-end close is basically a recurring trauma for them.

SPEAKER_01 6:21

It's a monthly fire drill.

SPEAKER_00 6:23

It means late nights, ordering pizza to the office, and just staring at spreadsheets until your eyes bleed, trying to figure out why the numbers don't match.

SPEAKER_01 6:33

And it happens every single month. But if you stop and ask yourself why it happens, it's because money movement and data movement are usually two entirely separate streams.

SPEAKER_00 6:43

Right. You send the cash over here and separately you email an invoice over there.

SPEAKER_01 6:48

Exactly. So at the end of the month, humans have to step in and try to stitch those two realities back together.

SPEAKER_00 6:54

It's like trying to match socks after the laundry is done, but you're doing it with millions of dollars.

SPEAKER_01 6:59

That is a perfect analogy. And Tanby talks about this concept of the death of end of day. He argues that in an instant world, the whole concept of closing the books at the end of a day is already obsolete.

SPEAKER_00 7:11

Because if the payment is instant, the reconciliation should be instant too. Precisely. So to solve your mismatched SOC problem, TransBrink uses what they call a recon first architecture.

SPEAKER_01 7:22

Recon first, how does that work in practice?

SPEAKER_00 7:24

They utilize microservices. Think of them as little independent software agents that ingest events in real time. Every single time a transaction hits the rail, it's immediately mapped to an internal identifier.

SPEAKER_01 7:36

So the payment itself is the record.

SPEAKER_00 7:38

Effectively, yes. They are reconciling as they transact. The ledger is always live. There is no end of day because the day never really ends in this system. It's just a continuous, perfectly matched flow.

SPEAKER_01 7:50

The implication of that for a business is just huge. If you're a CFO listening to this, you get to stop being a historian.

SPEAKER_00 7:56

Right. You're no longer just reporting on what happened three weeks ago.

SPEAKER_01 7:58

You actually start acting like a pilot navigating the business in real time.

SPEAKER_00 8:02

Aaron Powell And for the business owner, the key word here is scalability. This is a really major point in the source material. This technology allows teams to scale their transaction volume without scaling their headcount.

SPEAKER_01 8:15

Because usually, if your sales triple, you have to hire more back office staff just to process the paperwork and fix all the new errors.

SPEAKER_00 8:22

Exactly. Growth literally breaks the back office. But if reconciliation becomes this invisible, dependable utility, literally just code running in the background, you can go from a thousand transactions to a hundred thousand transactions, and your back office team stays the exact same size.

SPEAKER_01 8:40

Aaron Powell That's the pure definition of leverage. It automates all the drudgery, which paradoxically, I guess, allows the humans to focus on the actual relationships.

SPEAKER_00 8:48

Yes, the high value work.

SPEAKER_01 8:50

Speaking of relationships, let's pivot and talk about trust. Because another really major pillar they discussed in the journal was escro as a service.

SPEAKER_00 8:57

Aaron Powell Oh, this is a favorite topic of mine. Because it perfectly illustrates how technology fundamentally changes unit economics.

SPEAKER_01 9:04

Now, most of you listening probably know what an escrow is conceptually. You're buying a house, you put the money in a neutral third-party account, so neither the buyer nor the seller gets scammed.

SPEAKER_00 9:13

Right. It's a trust mechanism.

SPEAKER_01 9:15

Yeah.

SPEAKER_00 9:15

But historically, that has been a very heavy, very expensive process.

SPEAKER_01 9:21

Aaron Powell Oh, extremely heavy. Paperwork, lawyers, banking fees, massive time delays.

SPEAKER_00 9:26

Aaron Powell Exactly. So you only ever used it for high value transactions, real estate, corporate mergers, massive procurement deals. You would never go through the hassle of opening a formal bank escrow for, say, a$500 freelance design job.

SPEAKER_01 9:42

The transaction cost would just be way too high.

SPEAKER_00 9:44

Aaron Ross Powell Right. But the need for trust still exists at that$500 level.

SPEAKER_01 9:47

Aaron Ross Powell Oh, the trust gap is everywhere. If you run a digital marketplace that connects freelancers to clients, you have this constant standoff.

SPEAKER_00 9:54

Trevor Burrus, Jr.: The freelancer won't deliver the work until they know the money is actually there.

SPEAKER_01 9:57

Trevor Burrus And the client refuses to pay until the work is delivered and checked.

SPEAKER_00 10:01

Exactly. So what TransBank is doing is turning escrow into an API call.

SPEAKER_01 10:05

Just a line of code.

SPEAKER_00 10:06

Yes. They've digitized the entire process. Escrow is a service. It means a platform can spin up a dedicated virtual escrow account for one specific transaction in milliseconds using code.

SPEAKER_01 10:19

That changes the game completely. It basically slashes the marginal cost of trust to near zero.

SPEAKER_00 10:24

It really does. It means a brand new startup platform can offer its users the exact same level of financial security as an eBay or an Amazon right from day one.

SPEAKER_01 10:36

It safeguards those milestone-based payments we were talking about earlier.

SPEAKER_00 10:39

And it's huge for the lending sector, too. Think about co-lending, where you might have multiple banks and maybe an NBSE all pooling money into a single loan.

SPEAKER_01 10:48

You need a highly secure, neutral place for all that capital to mix before it goes out to the borrower. Right. It effectively unmundles the trust function from the big banks and just offers it to the market as a utility.

SPEAKER_00 11:00

Which naturally segues into the broader theme of the interview inclusion. Because when you strip away all that friction and those high legacy costs, who actually benefits the most?

SPEAKER_01 11:09

It's the little guy, the MSMEs, the businesses that traditional banks usually just ignore.

SPEAKER_00 11:15

Precisely. We talk a lot in this industry about the credit gap. You know, why don't big banks lend to small businesses? It's not because they hate small businesses.

SPEAKER_01 11:23

No, it's because they just can't see them. The financial data is too opaque.

SPEAKER_00 11:27

You've got cash businesses, messy handwritten ledgers. For a bank, the underwriting cost is too high and it's simply too risky.

SPEAKER_01 11:35

But look at what happens when you layer this programmable finance we've been talking about on top of open finance. TransBrink talks about using consent-based aggregation.

SPEAKER_00 11:45

Right. If a business runs its cash flows through these smart programmable rails, suddenly everything becomes visible.

SPEAKER_01 11:53

The behavior itself basically becomes the collateral.

SPEAKER_00 11:56

Observable behavior. That's the exact phrase Tambi used. If I'm a lender and I can verify your real-time cash flow because I am literally watching the transaction settle instantly on my rails, I don't need to ask for your property deed. Right. I can underwrite you based purely on the fact that you are a healthy operating cash flowing business.

SPEAKER_01 12:12

Efficiency is inclusion. I honestly think that's the most powerful takeaway from this whole deep dive. It's not about charity, it's about making the financial system granular enough to finally see value where it was previously just invisible.

SPEAKER_00 12:25

And doing it at a cost structure that actually makes economic sense. A small rural lender can't afford a massive due diligence team in a skyscraper, but they can afford an API call that scores a borrower based on real-time verified flows.

SPEAKER_01 12:43

Now I want to play devil's advocate for just a second here because we're painting this really rosy picture of frictionless flowing money, but TransBrink operates globally, right?

SPEAKER_00 12:53

They do.

SPEAKER_01 12:54

They have clients in India, the Middle East, Southeast Asia, and the world is definitely not flat when it comes to banking regulations.

SPEAKER_00 13:01

Oh, far from it. It is an absolute minefield.

SPEAKER_01 13:04

You've got strict data localization laws in Europe. You've got highly specific reporting formats required in the Philippines. You've got KYC rules that change entirely every time you cross a border. Right. So how on earth do you build a single operating system for treasury when the rules of the game are different in every single country?

SPEAKER_00 13:20

Aaron Powell This is where Veidhav Tambay's engineering background really shines through in the interview. He describes what they call a layer cake approach.

SPEAKER_01 13:28

Okay, visualize that layer cake for us.

SPEAKER_00 13:30

So the base of the cake is the core engine. This is the heavy-duty tech that actually moves the money, handles the logic, manages that real-time ledger we talked about. That core code is universal. It doesn't care if it's processing rupees or durums or dollars.

SPEAKER_01 13:44

That's the Intel inside.

SPEAKER_00 13:45

Right, exactly.

SPEAKER_01 13:46

Right.

SPEAKER_00 13:46

But then on top of that base, they build specific compliance layers for each individual geography.

SPEAKER_01 13:52

Ah, I see.

SPEAKER_00 13:53

So one layer handles the local KYC checks. Another layer formats the transaction reports exactly how the local central bank demands them. Another layer ensures that the data stays on servers physically located within that country if the local law requires it.

SPEAKER_01 14:08

So they don't just copy paste the whole platform when they enter a new market. They adapt the surface layers while keeping the core engine completely consistent.

SPEAKER_00 14:16

Aaron Powell Exactly. What's really interesting is that Tambi doesn't view this massive compliance burden as a negative thing.

SPEAKER_01 14:23

Really? Because a lot of tech companies, especially in Silicon Valley, try to actively skirt regulation, you know, move fast and break things.

SPEAKER_00 14:30

Exactly. But TransBrink takes the exact opposite view. They see compliance as a major trust builder.

SPEAKER_01 14:36

How so?

SPEAKER_00 14:36

Because if you are hypercompliant, if you are seen as boring and incredibly safe, the regulators and the partner banks will actually open doors for you faster.

SPEAKER_01 14:48

That makes sense. Banks are terrified of compliance risk.

SPEAKER_00 14:52

They are terrified of it. So if you can walk into a bank and prove to them, hey, our code literally prevents us from breaking the rules, you instantly become their best friend.

SPEAKER_01 15:00

And that totally explains the stats they mention. They have over 40 bank integrations now and over 220 clients. And banks are notoriously hard to integrate with.

SPEAKER_00 15:11

They are very protective of their core systems. And that is TransBrank's moat. They've done the hard yards, they position themselves not as disruptors trying to kill the banks, but as the backbone. They provide the orchestration layer.

SPEAKER_01 15:24

Orchestration is such a good word for it. The bank provides the vault and the regulatory license, and TransBrank basically provides the conductor's wand.

SPEAKER_00 15:32

And the reliability. Exactly. It allows us to outsource the trust to the protocol itself. If the money is literally programmed to only move when the mutually agreed condition is met, I don't need to trust you personally. I just need to trust the logic.

SPEAKER_01 16:41

Which brings us right back to that opening provocation from the article. Teaching money to listen. If the money listens to the data and acts purely on the data, the friction of human doubt just disappears.

SPEAKER_00 16:54

And that theoretically allows commerce to flow faster and reach further than ever before. It allows the smallest player in the most remote market to trade with a global giant with zero trust deficit.

SPEAKER_01 17:08

It is a truly fascinating future. It's hyper-efficient, yes. But it also feels like by automating all the paranoia and the ledger checking, it frees us up to focus on the parts of the actual product you're building. You focus on that while the money just handles itself.

SPEAKER_00 17:27

That is the ultimate promise here. Let the machines handle the flow and let the humans handle the value.

SPEAKER_01 17:32

Well said. A massive thank you to Vipav, Tombe, and the IBSI FinTech Journal for the source material on this one. It's really given us a lot to think about regarding the invisible plumbing that runs our entire world.

SPEAKER_00 17:43

It was an absolute pleasure unpacking it with you.

SPEAKER_01 17:46

And thank you for listening. Keep thinking about those if-then statements in your own business operations. You might be surprised where you find them. We'll see you on the next deep dive.