1097. Insights: When money moves 24/7, can treasury keep up? With J.P. Morgan

10 Sep 2026 · 50 min · 15 chapters

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In short

Real-time (24/7) money movement and the gap when treasury systems can’t see, trust, or act on cash positions fast enough—especially across borders, currencies, and payment rails. The episode argues “real-time treasury” is an operating model (visibility + decisioning + automated execution + 24/7 controls), not a product.

Guests (backgrounds)

  • Amy Ekhoff (J.P. Morgan): Global co-head Liquidity Product Solutions Specialists and Global Head Liquidity & Accounts Commercialization; works with corporate and non-bank financial institution clients on liquidity solutions, product, and technology.
  • Ross Webster (J.P. Morgan): Global co-head Liquidity and Accounts Product Solutions Specialists Payments; helps large companies move cash across dozens of countries/currencies/time zones.
  • Heather O’Gorman (Nium): Director of Treasury Cash Management and Safeguarding at Nium, an e-money fintech moving money cross-border for payment firms/financial institutions.

Key claims

  • Traditional batch/cut-off treasury models lag instant/irrevocable payments; friction is fragmentation, delayed position visibility, and “trapped” idle buffers.
  • Cross-border is still constrained (e.g., Swift-like processes), so instant local inflows require synchronized liquidity elsewhere.
  • Safeguarding/client-money rules force tight, currency-specific pre-funding and limit buffer.
  • Modernization means connecting visibility to mobilization via virtual accounts, pooling/sweeping, orchestration across payments/liquidity/FX, and (optionally) AI forecasting.

Notable examples

  • US instant pay-in must be followed by instant pay-out in Singapore, requiring Singapore liquidity buffers.
  • Safeguarding examples: Canada new payments license, Australia new license plans, UK CAS 15; e-money firms must keep near 1:1 client liabilities to safeguarded assets “to the penny,” enabling only limited buffer.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

Understanding the 24/7 Money Movement

0:03 to 0:31

Explore challenges faced by treasuries with the rise of 24/7 money movement.

“It's weeknight dinners, sitting around the table, everyone talking all at once.”

Understanding the 24/7 Money Movement

1:15 to 2:07

Explore challenges faced by treasuries with the rise of 24/7 money movement.

“I'm Benjamin Ensor, Director of Research and Strategy at 11FS.”

Guest Introductions and Insights

2:07 to 6:20

Meet the panel of experts from JPMorgan and Neum discussing liquidity management.

“I'm joined by a fabulous panel of three guests.”

Challenges in Real-Time Liquidity

6:20 to 9:11

Understanding how the demand for instant payments exposes liquidity weaknesses.

“And what's really critical is how quickly the treasury teams can understand and really respond to those positions.”

Shifts in Client Demands

9:11 to 13:35

Discuss the evolving expectations of clients regarding liquidity management.

“So building on those points Amy was just sort of making about, you know, the shift towards real-time 24 by 7 money movement.”

The Concept of Real-Time Treasury

13:35 to 14:01

Delve into the notion of real-time treasury and its implications for businesses.

“Is that what you're really talking about?”

Exploring Real-Time Treasury Challenges

14:01 to 27:02

Understand the complexities and innovations needed in treasury management for real-time operations.

“So this is how I often position this with clients when we have conversations around their treasury structure.”

Exploring Real-Time Treasury Challenges

27:06 to 28:06

Understand the complexities and innovations needed in treasury management for real-time operations.

“it's weeknight dinners, sitting around the table, everyone talking all at once.”

Challenges of Treasury Management in a 24/7 Economy

28:06 to 31:20

Explore the complexities treasurers face in managing liquidity across multiple accounts and currencies.

“For a global organization with potentially hundreds of accounts, multiple entities, multiple currencies, markets, How difficult is it to answer the simple question of how much cash do we have right now?”

The Role of AI in Treasury Forecasting

31:20 to 35:00

Understand how AI and data integration enhance forecasting and decision-making in treasury operations.

“But we are seeing sort of data and automation being used to sort of improve forecasting.”
Show all 15 chapters

Importance of Real-Time Cash Management

35:00 to 39:20

Learn why having a real-time view of liquidity and efficient infrastructure is crucial for international business expansion.

“How important does it then become to sort of pull together, you know, payments, liquidity, foreign exchange?”

Navigating New Payment Methods and Complexity

39:20 to 42:01

Discuss the implications of emerging payment rails on treasury management and potential solutions to complexity.

“Ross, there's more and more ways for companies and indeed individuals and banks to move money.”

The Future of Treasury Management

42:01 to 45:58

Explore how technology impacts treasury teams' efficiency and complexity management.

“find themselves with more flexibility and more options.”

Redefining Modern Treasury Operations

45:59 to 47:20

Discuss the critical changes needed in treasury operations for effective liquidity management.

“Just touching on the stablecoin piece as well.”

Panelists' Insights and Connections

47:21 to 49:44

Panelists share how to connect with them and provide insights into their companies.

“The three of you have been absolutely fabulous.”
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Transcript

Automatic transcript. May contain errors.

0:00This episode is brought to you by Palmolive. Family time isn't just the big moments. It's weeknight dinners, sitting around the table, everyone talking all at once. So when the plates are empty and the sink is full, use Palmolive Ultra. Palmolive's most powerful formula removes up to 99.9 % of grease, leaving your dishes sparkling clean. And the new convenient pump makes cleaning even easier, so you can spend less time tackling dishes and more time together. Shop now at palmolive.com. When you need to build up your team to handle the growing chaos at work, use Indeed Sponsored Jobs. It gives your job post the boost it needs to be seen and helps reach people with the right skills, certifications, and more.

0:42Spend less time searching and more time actually interviewing candidates who check all your boxes. Listeners of this show will get a$75 sponsored job credit at Indeed.com slash podcast. That's Indeed.com slash podcast. Terms and conditions apply. Need a hiring hero? This is a job for Indeed Sponsored Jobs.

1:14Welcome to Fintech Insider Insights. I'm Benjamin Ensor, Director of Research and Strategy at 11FS. On this week's episode of Fintech Insider, in partnership with JP Morgan, we're asking what happens when money moves 24 by 7, but Treasury doesn't. because money doesn't really respect business hours anymore or banking hours. Payments increasingly move in real time, businesses operate across borders around the clock, and financial institutions are expected to respond to market conditions almost instantly. But managing the liquidity behind all of that can be a very different story. Cash can sit across multiple accounts, multiple entities, multiple currencies.

1:52Information can arrive at different times, and decisions can still depend on processes designed for a financial system with traditional nine-to-five operating hours. So what would a real-time approach to liquidity look like, and how close are we to getting there? To help unpack these questions, I'm joined by a fabulous panel of three guests. First of all, I'm delighted to welcome Amy Ekhoff, Global Head Liquidity Product Solutions Specialists and Global Head Liquidity and Accounts Commercialization at JPMorgan. Amy, welcome to the show. Please could you tell our listeners a little bit about you and a little bit about your role at JPMorgan.

2:28Sure, Ben. Thank you very much. It's really great to be here. So as you know, my name's Amy Ekoff and I need co-head together with Ross, who's on here today, a global liquidity product solution specialist team and also the global liquidity and accounts commercialization teams at JPMorgan. We work very closely with our clients, both corporate and non-bank financial institution clients to really understand their liquidity challenges and design the right solutions for them and bring new capabilities to market. So I really sit very much at the intersection of clients, product and technology, including innovation, which really makes today's conversation particularly relevant and interesting for me.

3:09Fabulous. Welcome. So I'm also delighted to welcome, as Amy's just mentioned, Ross Webster, Amy's colleague, who is Global Co-Head Liquidity and Accounts Product Solutions Specialists Payments at JPMorgan. So welcome to you too, Ross. Could you also tell us a little bit about your role, what you do at JPMorgan and how your sort of work relates to what Amy does? Thanks, Ben. So again, thank you for having me. It's really great to be here. I co-head the function you mentioned with Amy globally. It's a bit of a mouthful, which is probably why my wife and my friends still don't know what I do. So if I was to put that into simple terms, I help the world's biggest companies figure out how to move their cash and how to make it work harder.

3:53I think of it as a bit of a financial Tetris, but across dozens of countries, currencies and time zones with pieces that never stop moving. So I've been JP Morgan since 2017, based in London. And before that, I held similar positions with a number of large financial institutions. So I've basically spent my entire career Obsessed over liquidity Which I promise is a little bit more interesting Than it sounds at dinner parties So I'm really looking forward to having this conversation today Fabulous, you're in the right place And I'm also delighted to welcome Heather O 'Gorman, Director of Treasury Cash Management and Safeguarding at Neum It's really great to have you here Heather, please can you remind Our listeners about Neum and Tell us a little bit about your role there please Yeah, absolutely, happy to whilst I think to your point this must be an industry renowned for having many words in your title that no one quite comprehends because I feel the pain so yeah Niamh is an e-money fintech we have a global footprint and our business model is moving money quickly we are across borders business supporting other payment firms and other financial institutions to move their money across borders and we work with the likes of JP Morgan etc and the banking providers to support us in being able to do that.

5:10So liquidity management for us isn't only paramount to ourselves as a business, but also to our clients. So we feel this almost as a double hitter, as it were, when it comes to ensuring we have the right liquidity frameworks, because it doesn't just affect us, it ultimately directly affects our customers too. Fantastic. Welcome. All right, well, let's dive in. And I think a good place to start is just sort of thinking about the sort of environment of sort of money movement as a whole. Amy, perhaps we can start with you. How have sort of changes over the past few years changed how sort of banks and non-bank financial institutions think about liquidity?

5:53I mean, obviously, we've been on a sort of 20, 30-year journey of sort of electronification, digitization, and so on, but money moves faster and faster. What are some of the biggest shifts we've seen? I think some of the biggest shifts or, you know, what we see, and particularly in the arena that I work in, which is really with some of the largest corporate clients and non-bank financial institutions around the world, is that money is moving very, very quickly. And what's really critical is how quickly the treasury teams can understand and really respond to those positions. and that creates a little bit of a disconnect.

6:30So money is now moving and really what we see is an always-on world, but many treasury operating models are still built around batch cycles and cut-off times and business hours. So what we're now seeing is that the payment happens first, but really the understanding of that position often comes later. So in practice, the constraint that we see now isn't really about liquidity. It's can we see it? Can we trust the position? and can we move the liquidity safely with the right controls to exactly where and when we need it. So look, as real-time payments scale, we're also really dealing with near instant irrevocable transfers and immediate confirmation.

7:12And that sort of raises expectations internally for our clients because the business sort of assumes that Treasury can answer in the moment, where's our cash and what do we do next? And that's not always the case. So I think you're saying the problem isn't so much the lack of liquidity, it's the lack of visibility, the lack of data, the lack of confidence about whether certain money is settled or not. Is that correct? It's as much a sort of data and visibility problem as it is an actual liquidity problem. Yeah, that's right. I think there are several points of friction today, actually. And I think the friction point is sort of maybe two or threefold.

7:51So I think the first point is really around fragmentation. So a lot of our clients end up with cash spread across, you know, multiple of accounts, systems. And this creates like real effort to sort of maintain a single reliable view of positions and forecast needs. And I think the second one is really around the funding mechanics in a 24-7 environment. So if the settlement layer is always on, but some traditional rails and processes aren't, treasurers end up pre-funding and carrying buffers. And those buffers are really sometimes over weekends and holidays. And what you see is that ends up with what this term that we call sort of in the industry called trapped, like trapped cash.

8:36And treasury teams keep this just-in-case buffer sort of sitting in local accounts from Friday through to Monday because they're really worried that something could hit over the weekend. And that cash is safe. but it's idle. And it's there because processes aren't confidently funding on demand always. And that's where we see a big shift in trend, actually a move towards, you know, how do you solve that problem statement? And I guess as we go through today's conversation, we can start touching on, you know, some of those solutions where automation really, really helps around threshold-based sweeping.

9:10Thank you. Heather, I'd love to bring you in. So building on those points Amy was just sort of making about, you know, the shift towards real-time 24 by 7 money movement. Is this sort of changing how you manage liquidity? Is it just sort of exposing weaknesses that were already there? Or is it creating, you know, genuinely new issues? It's an interesting one. I think the need for instant or near instant payments is becoming much more of a need for lots of entities. and as I say we work with a lot of financial institutions and other entities to help them move their money across border because what we tend to find is that the ability to pay in and out locally is fantastic you know the opportunity to be able to do 24 hour seven payments in a local jurisdiction is very easy to do now and actually you know there's been a lot of push towards that in recent years.

10:09However, it's still difficult to move money across borders. It's still difficult to get you money from one country to another. You know, we're still very reliant on a quite dated old process via Swift, et cetera, that can take days. And I think that's where the crux of the matter comes in. And I think although we're growing this amazing network of instant payment routes in local jurisdictions, the Treasury issue all comes down to making sure that, OK, it's been paid in instantly in the US, but how do we now make sure that that's instantly payable in Singapore. And that's where, to Amy's point, these buffers come in, right?

10:43We have to then be sitting there going, right, well, we've received all this in the US and we can receive that instantly, pay it out instantly. But if we need to make sure that we've then got enough in Singapore at the same time, we then have to have these, you know, liquidity forecasting processes and ensuring that we've got the money there to pay out. So I think there's always going to be this crux between the instanteness of the payments in their local jurisdictions versus what we can then do across borders and across banks as well. Yeah, and of course, lots of large businesses and lots of large financial institutions have got huge mismatches between sort of where cash is coming in, the currencies, the countries, the times that cash is coming in and where it's going out to suppliers, employees, et cetera, et cetera, et cetera.

11:25Ross, I'd love to bring you in too. What are your clients starting to ask for as they're sort of trying to address some of these transitions and some of these challenges? The conversation has fundamentally shifted. A few years ago, the ask was simple. Move my money faster. Today, it's a completely different question. Clients are asking, help me understand where my money is across every entity, every currency, every time zone, and help me act on that information in real time, which is, I think, what Amy and Heather were articulating. And I think a good replicable example is when you look back at how we used to use maps now versus 20 years ago.

12:07The objective has always been the same. How do I get to my destination quicker? What we used to do was plan a route before we left the house, look at a map, maybe print it out, highlight the directions. Now, we expect real-time navigation that reroutes us dynamically based on traffic, accidents, and road closures. We didn't need a faster car. What we wanted was intelligence about the journey itself. And that's what's happening with Treasury. Clients don't just want faster payments. They want intelligent, dynamic control over where their liquidity sits and how it moves. For MBFIs in particular, the ask is increasingly about orchestration.

12:47They want a single view of their global cash position, the ability to sweep or concentrate liquidity dynamically, and the intelligence to anticipate funding needs before they become urgent. They want fewer manual interventions, fewer buffers, as Amy mentioned, sitting in idle location and more confidence that liquidity is going to work as hard as it can. And importantly, they want this across the full spectrum, not just domestic payments, but cross-border, cross-currency, different payment rails and different operating windows. The complexity of the ecosystems has grown enormously and they need partners who can bring payments, liquidity and FX together in a more connected way.

13:25So what you're saying is there's a sort of shift from wanting faster payments to wanting greater control over the liquidity and being able to move things around. We often hear the sort of phrase real-time treasury. What does that sort of mean? Is that what you're really talking about? I loved your analogy of moving from a map to a sort of digital route finder. What do we mean by sort of real-time treasury? Is that where we're going? There's two things here from my perspective. I think the first chapter, as we mentioned, was about speed. And now we're moving into the chapter of control. So this is how I often position this with clients when we have conversations around their treasury structure.

14:06Simplification is innovation. We have a tendency in financial services to think of innovation as adding something new, a new rail, a new API, a new platform. But for many treasurers, the most innovative thing you can do is actually take away complexity, reduce the number of accounts, eliminate manual reconciliation, remove the need for checks across six different systems to answer a single question. Faster payments solved one problem, i.e. getting money from A to B, but it created new questions. If money can leave my account instantly, do I have the visibility to know what that means for my position?

14:40If I'm receiving funds 24-7, am I actually capturing and deploying that liquidity? Or is it sitting in accounts I'm not looking at until the next business day or end of day reporting? When you frame the conversation in that context, obviously real-time payments and real-time liquidity lends itself to a discussion around, let's say, real-time treasury. And I think the real-time treasury is something that needs to be unpacked a little bit more from my perspective. So if you change the framing of that conversation slightly, there's a trap I see in our industry, which is where we put the technology before the problem statement.

15:20Someone says real-time treasury, and immediately the conversation jumps to API, Instant Rails, AI dashboard. The better question is, what problem are we actually solving for? For most treasurers, it's not I need everything in real time. It's I need to make better decisions faster with less manual effort. And sometimes that requires real time. Sometimes it requires better forecasting. Sometimes it requires fewer accounts and simpler structures. Russ, you've touched on a really important point here. And I think it's the concept that you can't sort of bolt on a faster rail onto an old operating model and expect a real-time outcome.

15:55And when you think of sort of real-time treasury, it's a combination of so many factors, which is like real-time visibility, plus decisioning rules, plus automated execution, plus the controls that hold up 24-7. It's really something that is a journey itself. And I don't think it's something that's sort of achievable in a one-file swoop. It's not something where, you know, you suddenly end up being real time on an overnight basis. It's sort of like a mixed speed journey where there is a clear progression step by step. It's integration. It's looking at the account structure. It's looking at controls.

16:32And I think you'll end up with structural realities whereby there are varying degrees of real time visibility and third party dependencies based on a market by market infrastructure. and what your underlying business operating model and needs are in each of those individual markets. But I think the destination is clear. Progress tends to be uneven and taken in stages. But I think the destination is clear that people are all moving towards a concept of real-time treasury and as real-time as it needs to be for them. Yeah, and a great way to summarize that is real-time treasury isn't a product that you buy.

17:06It's an operating model that you built. And that's where banks and clients need to work together to put the correct ecosystem in place. You're saying there isn't a magic package you can buy that's going to perfectly solve all of these issues. Surprise. But I love what you're saying. It's very much about a sort of evolution, a journey, isn't it? Heather, one of the things we haven't touched on here yet is the differences between sort of national markets and the differences in sort of national payment systems and so on. Because it's one thing to sort of think about the principles about how to sort of gradually create sort of real-time treasury and faster decision-making and so on, as Ross is talking about.

17:48But some of this comes down to the countries you operate in and understanding the differences in the payment systems and all of the differences in sort of clearing systems and currency restrictions and so on. How much of a sort of challenge is that? And how much does that inhibit you from sort of getting to this idea of a sort of global real-time view of all of your liquidity. Yeah, I think every entity that we are providing our services to, whereby we're providing pay-in and pay-outs for our clients, we're working with banking providers and other PSPs that are ultimately after the same aim we are, and that is to provide instant pay-outs on their end.

18:34And I think that that is becoming the norm now. I think that 24-7, seven days a week is almost an expectation at this point for the majority of jurisdictions that entities will be paying out or paying in through. I think it all comes down to really the knowledge and experience of the Treasury team that are working within those entities and within those different jurisdictional restrictions. and ultimately creating those control frameworks that really consider what needs to take place from a liquidity management point of view to counteract any existing cutoffs. I think one of the things that's really notable from working in different jurisdictions is, for us at least, being a regulated entity as a financial services firm, is the safeguarding obligations and the client money obligations, because that can really have quite a drastic effect on how we then view liquidity.

19:32Lots of different jurisdictions we're finding at the moment are really upping their game when it comes to safeguarding obligations. We've seen recently that Canada have created a new license for payments firms. We've seen Australia are going to be doing the same. And ultimately here in the UK, we've had the CAS 15 rules brought in. For us, looking after our clients' money is paramount and ensuring that we're able to do that within the constraints of cut-off times and liquidity constraints and also obliging to our customers to have quick paying and payouts, I think that's where it can really draw on some interesting liquidity constraints because it's our most important consideration.

20:10It's the first part of my title, not the second. It is definitely our biggest priority when we're looking at our safeguarding and that is what will probably be the driver as a financial services firm creating any complications. Can you just give listeners an example of how those sort of safeguarding requirements can limit or affect what you can and can't do with liquidity? Presumably you're saying you can't co-mingle client funds, obviously, but what exactly is the barrier or the challenge? So we have to safeguard our funds in the jurisdictions where we have customers. and that tends to be for e-money firms it's a one-on-one basis right to the penny for most jurisdictions there's very little buffer allowed it's not you're not allowed to go down a little bit up a little bit we are expected to be able to say at the end of every day this is how much we're holding for our clients and this is how much we then have in our safeguarded bank accounts so that then means that whenever we're talking about instant payouts across borders that we're talking pre-funding we're talking liquidity management with our own operational funds to ensure that we're able to then make those payouts.

21:21It creates this very interesting complexity around how we ensure that we're moving funds from one place to another, whilst also ensuring that we have encapsulated the safeguarding requirements. You know, it's quite different to a bank, I suppose, where, you know, the reserve concept and the accepting deposits is a very different ideal in comparison to an e-money firm where we are obliged to always keep the same amount of liability to assets within our accounts, which really does create this sort of interesting constraint on our liquidity management. Really, really interesting. I think listeners to the podcast don't need any reminder because we've talked a lot about various issues that have happened elsewhere in the world or in different places in the world where companies have not done that safeguarding properly.

22:06Sorry, Amy, did you want to comment on that? Maybe just from a discussion point, from a banking perspective, we have a number of e-money or licensee money move is exactly that with that safeguarding, you know, the safeguarding obligation as it happens around the world is also currency specified as well. That's where you start seeing an intersect of quite sophisticated tooling to help manage those safeguarding obligations in their real time or with the timeliness that's required by the market 24 hours or same day. And that's where you start to see an intersect of products like notional pooling, which allow clients to sort of have the client money accounts, you know, on the side that allow them to, you know, leverage their operating cash that they have and safeguard in their appropriate currency without an applied FX in the middle of that and meet the kind of safeguarding obligations in the right currency.

22:53So I think, you know, banks are really helping the e-money movers at this point in time to meet those obligations and how they can do that in a real time, whilst also kind of managing their cost and cross-border nature of that safeguarding obligation. Amy, it's actually interesting because it comes back to the point around the convergence of payments liquidity and and data it's not good enough just to have fast rails or to have data what you actually need is the account structures whether physical or virtual that gives clients granular visibility and then you need the all-in and sweeping mechanisms that allow them to concentrate and deploy and then you obviously need the data layer on top that turns transaction flows into actionable intelligence yeah i think to your point ross it really pulls into that We have to choose our banking partners primarily from a safeguarding perspective.

23:46We have some obligations to ensure that we do our due diligence on our banking partners. And that ultimately will often come down to how can we ensure we're getting the data we need frequently enough through the relevant ways for us to ingest that data, for us to be able to know our safeguarding position at any time. and that could be quite a challenge ultimately. It's a challenge for the banks to be able to provide that data. If we said it can be, you know, we're talking instant real-time information here that has to go alongside the payments that we're expecting to be real-time and for us to be able to ingest and then be able to manipulate and use that data for our purposes to ensure we're then calculating our reconciliations correctly.

24:29So there's a lot of reliance, I suppose, on ensuring that that data and that data sharing is being done not only accurately, but as efficiently and effectively as possible as well. I was just going to say, it's funny that Heather mentioned data. And Amy, I was going to lose a bit of an analogy. I know you're kind of a Formula One fan. But when you think of F1, the cars generate thousands of data points during a race. Tire temperature, fuel loads, wind speed, hundreds of sensors. but it's not the team with the most data that wins the race. It's those that can translate that data into actionable outcomes, whether it's to pit now, switch to soft tires, change with the wing angle, whatever that may be.

25:14And I think that comes back into your liquidity structures and how treasury utilised data to elevate that into actionable outcomes. Real-time visibility alone is not always helpful. You know, if I gave Heather a list of every real-time transaction that was made across 200 accounts in 30 currencies, it's probably overwhelming. What matters is how does she create that, turn that into intelligent visibility, and then use that action, meet her safe garden obligations, and move cash around the world dynamically to make them as efficient as possible. I think, just to anchor that, I think visibility, like it's seeing to doing, right?

25:55So it's seeing to doing, I think, put simply invisibility, you know, without the right real-time infrastructure to drive automation. It's just a faster-looking problem. You can see your problem quickly, but you need to be able to act on that quickly as well. Love it. All right. I'm loving these analogies that you're deploying, Ross, to simplify this. Like I mentioned, my family don't know what I do. So I'm trying to use other analogies to my resume. I think it's a problem to quite a lot of people who listen to the podcast, isn't it? So we've explored why an always-on financial system is putting traditional approaches to liquidity under pressure, and why operating globally doesn't necessarily mean institutions can approach each market the same way.

26:43So what we're going to come on to in a minute is looking at how a more connected, more intelligent approach to treasury, what that requires, and whether better liquidity management can become a neighbor of growth rather than just an operational function. So we'll take a quick break here and we will be back very shortly.

27:02This episode is brought to you by Palmolive. Family time isn't just the big moments, it's weeknight dinners, sitting around the table, everyone talking all at once. So when the plates are empty and the sink is full, use Palmolive Ultra. Palmolive's most powerful formula removes up to 99.9 % of grease, leaving your dishes sparkling clean. And the new convenient pump makes cleaning even easier so you can spend less time tackling dishes and more time together. Shop now at palmolive.com. When you need to build up your team to handle the growing chaos at work, use Indeed Sponsored Jobs. It gives your job post the boost it needs to be seen and helps reach people with the right skills, certifications, and more.

27:44Spend less time searching and more time actually interviewing candidates who check all your boxes. Listeners of this show will get a$75 sponsored job credit at indeed.com slash podcast. That's indeed.com slash podcast. Terms and conditions apply. Need a hiring hero? This is a job for Indeed-sponsored jobs.

Read the full transcript

28:05Welcome back to Fintech Insider, where we're exploring what treasury management looks like when money never stops moving. So let's move on to visibility. For a global organization with potentially hundreds of accounts, multiple entities, multiple currencies, markets, How difficult is it to answer the simple question of how much cash do we have right now? Heather, maybe from a practitioner's side, how difficult is it to get that single view of liquidity when you're operating across different markets, different entities, different currencies? I think there's lots of ways I could answer this question, ultimately, I think.

28:42And one of the things I'm going to put it down to is actually the questions I have to ask myself every day. Mostly, I'm concerned, have we protected our clients' funds? And do I have the information that is relevant for me to ensure that we've done that? Is the money where it needs to be to in order us to do the paying and payouts that we need to? Am I making the most out of the money that I have in those accounts at any given time? And how much is this all costing me? So actually being able to answer all four of those questions do actually tend to sometimes come with some contradictions, shall we say, as to, there's some different arguments there as to the data that we're trying to deceive.

29:22So when we're looking at, we've spoken quite a lot already about the safeguarding obligations. We've spoken quite a lot about where the money is and why that's important. But from, you know, a treasurer and a cash management individual, I'm also looking at if we've got all this money sitting in these accounts, how am I ensuring that the business is making the most out of those? So are they in the highest interest earning accounts? Are we potentially investing those into some low liquid assets, for example? And then there's also that side of how much does it cost us to bank with these individuals?

29:51How much does it cost us to make these transactions, etc.? So I think being able to actually bring this all together into one view is a really complex process. And ensuring that we're able to have that oversight and that view all comes down to ensuring that we are balancing the priorities, are ensuring that we've got the highest priority on our client funds, next on making sure where the money is, and then next ensuring that we're making the most out of it. But as I say, that all comes with requiring different views, different datas and different ways to be able to analyse that. And one of the things that complicates answering those four questions is the fact that we need to diversify, right?

30:34As a treasurer, I don't want to be as much as JPM might be the perfect bank. bank with, you have all the great accounts and all the jurisdictions we want to work in, that'd be fantastic. But not only from a client money point of view, is it sensible to diversify a requirement in some entities? It's also just logical from any treasury perspective, right? We don't want to put all of our chickens into one basket. So when we're contemplating how we set this up, it's taking account of all the different banks that we have to bank with, all the different accounts that are not associated with those and then trying to still answer those four fundamental questions.

31:13Thank you. Amy, you made a really interesting point before the break about how some of what's happening is treasury teams just sort of seeing their problems a bit faster. But we are seeing sort of data and automation being used to sort of improve forecasting. We managed to get almost all the way through this podcast without mentioning AI yet, Ross did mention it briefly. Are we getting into a world where treasury teams are getting more ability to look forwards and anticipate rather than just looking backwards and looking at sort of where they are or where they were? Is forecasting improving? Is treasurers getting to the point where they can get a better forward-looking view of what's happening?

31:55Look, as payments are becoming increasingly immediate and operating windows extend around the clock, treasury organizations need liquidity that's visible and actionable and connected. And I think AI certainly has the potential to help clients interpret information and respond more quickly in these environments. But I think, you know, data is really the foundation of that. So really having connected data creates the groundwork for embedding AI into products and enabling these capabilities such as intelligent liquidity management, decision points, smart forecasting. So I think absolutely AI has got a strong role to play in that.

32:38And we have seen AI play a role and machine learning play a role in forecasting for quite some time now. Probably the best part of nearly 10 years. And what we see is those models becoming more and more elite, particularly as data tagging is becoming more sophisticated, the data is improving. That allows the prediction models to even understand nuance and spike days, et cetera, as well. So absolutely, AI plays a strong role in this, but I think there are some foundational things that need to happen, including data layers and information flows that every organization needs to put in place to help that be meaningful and useful.

33:09Thank you. And Amy, one of the other building blocks is accounts. I think Ross sort of touched on accounts a little bit earlier. So what role the sort of things like virtual accounts and more connected account structures play in the kind of simplification that Ross was talking about? And maybe this is better for Ross than for Amy, I'm not sure. But can you tell us a little bit about how accounts can be a useful building block as well in creating this kind of simplification? Yeah, absolutely. And I think, you know, just leaning on even our decision-making kind of our narrative that we're taking now, virtual accounts kind of serve multiple purposes.

33:46And they give greater control and visibility and sort of simplification of your account structure, even reducing the number of accounts that you have. But that real-time visibility doesn't automatically mean better decision-making. So, I think that's where virtual accounts really have a good role to play. So, they give the granularity that's needed by entity or business line or currency for reporting and control without really needing the physical bank account for every slice. But I do think that it's very important to also have mobilization over the top of that. So visibility without mobilization is really, I guess, an expensive dashboard.

34:23And I think we sort of touched on that a little bit earlier. And that's where in a virtual account hierarchy, you get real-time pooling and cash pooling. So your cash becomes much more dynamic, available for use across your group entities. And you move from periodic sweeping to a continuous cash position. that's built. So your cash doesn't really sit idle in one entity while another draws on a credit line. You've got a continuous cash position building. So I think, you know, virtual accounts and virtual hierarchies play a very important role in a real-time ecosystem, both from visibility, cash application, and cash mobilization.

34:59Thank you. So Ross, building on the points that Heather was making a few minutes ago about, you know, the four challenges that she has and constantly keeping her eye on those four, and then some of what Amy was talking about, about really, mobilizing that liquidity, not just having a more expensive dashboard. How important does it then become to sort of pull together, you know, payments, liquidity, foreign exchange? There's a lot of capabilities that you need to sort of deal with the problems that Heather is dealing with every day, right? I wouldn't say integration is just important. I'd probably argue that it's the defining differentiator for any banking partners within this space.

35:41And I'm going to use another analogy here then, which is one I often use with the product teams here at J.P. Morgan. If you think about buying a car, you're probably not going to buy the car purely based on the stereo system. But if it didn't have one, then that might just be the reason for you not to purchase that particular brand or make or model of car. So effectively, the stereo is table stakes. And increasingly, that's how clients are thinking about their banking capabilities. They expect banks to have real-time payments. They expect us to have virtual accounts. They expect us to have multi-currency notional pooling and forecasting tools and API connectivity.

36:23So any one of those individually might not be the reason why a particular corporate or non-bank financial institution chooses a banking provider, but not having one might just be the reason why they don't. So what is the differentiator? is how those capabilities connect. So when you think about what a treasurer actually needs to do, they need to see their cash, forecast their cash needs, move money domestically and cross-border, convert currencies, optimize their yield, obviously, sometimes even in the same workflow. Those capabilities sit in different systems, with different providers, on different timelines.

37:03That introduces friction into every step across those important deliverables that Heather quite rightly mentioned. So I think the banks that are winning in this space have deliberately built integrated platforms that connect payments, liquidity, and FX together. And that means that a client can see their global position, identify surplus in one currency, execute an FX conversion, and deploy liquidity where it's needed, potentially even in a single workflow. So the concept of orchestration is exactly right. not a single payment rail or product solves the problem, as we mentioned. It's the ability to orchestrate across rails, currencies, and time zones.

37:43And again, it comes back to the points we mentioned previously. Simplification is quite often innovation, and real-time treasury and orchestration isn't a product you buy. It's a platform you build and an operating model that all treasurers should be focused on. I love how all your analogies so far are car-related. but also like the point that you're making that actually you know when customers need a car they don't necessarily want to be having to put all the pieces together themselves. So Heather from your experience operating across many different countries how important is it to have the right sort of treasury and infrastructure in place when businesses start expanding internationally?

38:26Are there things that the treasury team can do to make it easier for leadership teams to make expansion decisions? How important is it to have that kind of real-time view of liquidity across different countries and markets? For me, it comes down to risk and understanding your risks. If you can have a really thorough risk assessment that you can take to a board and explain going into X jurisdiction is going to mean that we're going to have constraints around certain currencies or we're going to have cut-off times that need to be taken into consideration or we need to have people on the ground in that time zone to ensure that we have the capacity to make payments etc that that's what's ultimately going to lead to having a really strong control framework and it's that control framework that's going to allow you to then be able to successfully enter into a new jurisdiction so yeah I suppose to But to re-summarize that, taking this back to a compliance and risk consideration, it's all about ensuring that assessment's been done in good time and that the control framework that you're implementing on top of that has been thoroughly tested and considered before entering into a new entity.

39:44Thank you. Ross, there's more and more ways for companies and indeed individuals and banks to move money. Obviously, we talked a lot about real-time payments and instant payments, but there's also new ways to initiate payments. We've got things like embedded finance and so on. There's stable coins. There's all sorts of weird and wonderful cryptocurrencies. So there's more and more ways to move money. But as you were saying earlier, cross-border payment is still actually quite hard. Does having more ways to move money make treasury sort of harder? Or does it make it easier? Yeah, I mean, how should sort of large organizations be thinking about managing this sort of increasing range of payment rails that are available?

40:29I think in the short term, the answer to that question has to be yes. And I think we need to be candid about that. Every new payment rail, every new collection channel, every new embedded finance flow adds another source of liquidity movement that Treasury needs to track, reconcile and ultimately manage. If a large institution, if you're a large institution and now receiving funds via real-time payments, traditional ACH, card networks, embedded finance platforms, potentially 24-7, then the complexity of your cash management has generally increased. The risk is that institutions end up, I suppose, with more fragmentation, not less, more accounts, more rails, more reconciliation challenges.

41:12challenges. But, and I think this is the critical point, the same technology that's creating the complexity can also solve for that. So virtual account structures can consolidate what would otherwise require dozens of physical accounts, for example, as Amy mentioned, or intelligent reconciliation tools can help match and categorize flows regardless of the rail in which they arrived. And then obviously automated liquidity management can respond to inflows and outflows in real time, regardless of the source. So the answer is yes, it gets harder before it gets easier, I suppose. But only if you don't invest in your construction and automation layer.

41:52Institutions that treat every new rail as an isolated capability will probably struggle a little bit. And the ones that integrate new rails into a unified liquidity framework will actually find themselves with more flexibility and more options. So again, simplification is innovation. The winning approach isn't to add more, it's kind of connect to what you have. Thank you. You made a really nice point earlier, Ross, about thinking about technology and thinking about, you know, what's the fundamental problem we're trying to solve? So, Heather, if I throw it over to you, as we think about the future, a treasury team is going to have to manage more complexity or do we think technology will sort of be able to sort of manage some of that complexity for them?

42:33I mean, are you optimistic about sort of technology helping treasurers do their work more efficiently and more effectively and getting better insight? Or do you think actually, you know, the growing diversity of options actually just means that you're going to have to deal with and tackle more and more complexity? Does your job get harder or easier, do you think? Well, I think it's interesting that we've managed to get this far into the podcast about liquidity and not mention the word stablecoin. so I think there is going to be lots of technology developments that are going to be taking place over the next few years and this is all going to come down to creating solutions for especially the cross-border elements that are complicated in money movement but I think to your point Ben you're right it's going to be an amazing opportunity to have more instant payments cross-border to have more data from a liquidity point of view and have that more in a real-time basis.

43:34But it is going to cause complication. It is going to cause regulatory complication. We need new licenses to be able to do that. We need new control frameworks. We need new expertise and new resource to be able to manage that as well. So where these interesting opportunities are coming up, whether it be with automation within traditional banking processes, whether it be faster payments or talking about stablecoin. All of these innovations are fantastic, but they do come with their additional risks and that additional control framework that needs to be implemented around those. Amy, what's going to distinguish a firm that has genuinely modernized its treasury from one that simply sort of added faster payment rails and, as you said, sort of built themselves a better dashboard.

44:23What's the sort of distinction between just getting a better dashboard and getting actually a more effective treasury? Look, I think it's really whether the institution has redesigned the decisions and processes around them. So the way that I would think about a modern treasury is one that connects real-time visibility to real-time action. So forecasting a position, identifying the shortfall, and then moving liquidity automatically within agreed controls and parameters. So the real test, I think, would be in the outcome. So what we should expect to see is less trap liquidity, less buffering needed on a multi-day basis, fewer manual interventions, and really much stronger kind of risk management and ultimately better use of working capital for any company.

45:12So I think Treasury is really going to become a more continuous and event-driven rather than relying on these end-of-day information and manual cycles And I don't think it means that humans disappear, but it really means that people set the strategy and the risk appetite and the guardrails, and then they leverage technology to operate intelligently within them. So, real-time treasury is not just about moving money faster. It's really about making better decisions that can be actioned automatically within guardrails. Amy, I absolutely agree with that. I think treasury is very much an inflection point.

45:47the question shouldn't be, have you added real-time payments or faster rails or even stablecoin? It's, have you designed your operating model around continuous intelligent liquidity management? And then are you adopting the tools and techniques and payment rails and methods to allow you to operate effectively? Absolutely agree. Just touching on the stablecoin piece as well. I mean, the way I see it is that we've been talking about real-time payments, but the fact is a stable coin is also just a 24-7 cross-border rail that can be used to drive settlements. So I think everything that we've been discussing today is clearly applicable, whether it be a stable coin or an RTB, cross-border RTP as well.

46:29You know, I guess just with a stable coin, you've got potentially even faster speed and the ability of programmability and potential reach within there as well. But I think there are new considerations around kind of liquidity fragmentation and also the conversion between forms of money, right? Fair, non-fait, and then sort of the treasury risk parameters and tolerances within that. So I think these are kind of newer considerations versus just the RTP, I think, when we think about stable coins. Really, really interesting. So what I think ultimately you're saying is that the modern treasury is not so much a real-time treasury, though it is, but it's event-driven, it's continuous, it's automated, it's potentially programmable.

47:09So yes, real time is a big driver, but there's a whole bunch of other things that treasurers and treasury teams need to be thinking about and building on. Okay, well, that pretty much wraps up today's discussion. The three of you have been absolutely fabulous. A huge thank you to all three of you for breaking down this really, really important topic. Thank you so much for joining me. Where can people connect and find out a little bit more about you. Amy, where can people find out more about you and find out more about JPMorgan's services? They can find me, I mean, I'm available on LinkedIn if they are personally connected with me through my work.

47:56So Amy Ekhoff, I'm available through LinkedIn. You can outreach to me. Equally, if you do know me, you can reach me through JPMorgan. And also we have our gpmorgan.com website as well, which gives a wealth of information around everything that we cover from a payments perspective, including real-time liquidity, real-time payments, and our views on the stablecoin and or digital payment digitization of money. And Ross, where can people find more information about you? Exactly as Amy said, Ben, I don't have the largest digital footprint. I'm not the biggest Instagrammer, but I am available on LinkedIn and all the channels Amy mentioned.

48:36And obviously, anyone who has a relationship manager with JP Morgan, then reach out to them and they'll certainly know how to find me once they get into the JP Morgan ecosystem. Thank you. And Heather, where can people find out more about you and more about Neon? Yeah, absolutely. I think LinkedIn's always the go-to in this industry, isn't it? So always feel free to drop me a message on LinkedIn, reach out and connect there. Otherwise, feel free to go to our Neon website. We have loads of information there about the amazing work our product teams do, the great integrations we have and our promises that we make to our financial institutions and our other clients on making money move faster.

49:17Wonderful. Thank you. and as for me you can find me Benjamin Ensor on LinkedIn so thank you all so much for listening if you've enjoyed what you've heard please do follow the podcast do leave us a review if you want to join the conversation seek us out on social media just search for 11FS or Fintech Insider or you can email us at podcasts at 11FS.com so thank you so much to my three panelists and goodbye

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From the publisher

About this episode:

Money moves around the clock. But can treasury keep up?

In this episode of Fintech Insider, in partnership with J.P. Morgan, host Benjamin Ensor is joined by Amy Eckhoff and Ross Webster from J.P. Morgan, alongside Nium’s Heather O'Gorman, to explore what liquidity management looks like in an increasingly real-time financial system.

From navigating liquidity across different markets, currencies and accounts to improving visibility, forecasting and control, our panel looks at what it really takes to build a more connected approach to treasury. We also explore how virtual accounts, automation and evolving liquidity structures can help institutions mobilise cash more effectively — and whether modern treasury can become an enabler of global growth rather than simply an operational function.

This week's guests:

Amy Eckhoff – Global Head Liquidity Product Solutions Specialists and Global Head Liquidity & Accounts Commercialization at J.P. Morgan

Ross Webster – Global co-Head Liquidity & Accounts Product Solutions Specialists, Payments at J.P. Morgan

Heather O'Gorman, Director - Treasury, Cash Management & Safeguarding at Nium

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About Fintech Insider:

Fintech Insider by 11:FS is a bi-weekly podcast that covers everything from finance and banking to technology and the latest trends in financial services.

Our expert hosts, with hands-on industry experience, are joined by key decision-makers, VCs, and top reporters from across the financial landscape, including guests from companies like Stripe, Revolut, Plaid, PayPal, and Monzo. Together, they break down the biggest news and innovations shaping the space.

Our weekly news show drops every Monday, covering major stories like mergers, new product launches, regulatory shifts, and emerging tech trends. On Thursdays, our Insights show goes deeper into the hottest topics driving the future of finance, including AI in banking, decentralised finance, and the evolving landscape of embedded finance.

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