How Treasury Teams Can Save 37 Hours a Week Without a Tech Overhaul
What if you could save your treasury team 37 hours a week – without investing in expensive new software or overhauling your tech stack?
In this episode, James Kelly, Co-Founder of Your Treasury reveals how thoughtful automation and strategic AI adoption can transform your treasury operations with the tools you already have.
Featuring
About this episode
Joining us on the podcast is James Kelly, Co-Founder of Your Treasury and former SVP of Treasury, Risk Management and Insurance at Pearson.
James has led treasury functions at global giants like Rentokil, Associated British Ports, and Sky. Today, he helps treasury teams unlock powerful efficiencies through practical applications of AI, automation, and process design.
With a unique blend of hands-on experience and a sharp eye for innovation, James shares how even the smallest changes can lead to massive results.
What We Cover in This Episode:
- The simple process redesign that slashed 37 hours of treasury workload to just 3.
- Why full tech overhauls are not necessary to drive automation.
- How treasurers can use AI tools like Python and LLMs to solve repetitive pain points.
- The biggest obstacles to AI adoption in treasury teams and how to overcome them.
- The tipping point: why now is the time for treasury teams to embrace AI.
- The cultural differences in AI adoption across global finance teams.
- Common misconceptions about treasury automation and how to get started without overwhelm.
You can connect with James Kelly on LinkedIn.
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James Kelly, Co-Founder, Your Treasury: One that springs to mind is some work that we did on cash forecasting with a company. Now, this isn’t the sort of classic we put in the machine learning tool and nobody had to do anything anymore. Think this was just, we took the existing process and we redesigned everything so that effectively we replicated what were the business teams doing?
James Kelly: They were using spreadsheets, populate the spreadsheets that were coming in, and then for the central team, like how could they make sure that the spreadsheets were received on time? Automated chasers. So we took a process that was taking 40 hours a week across six finance staff, and we took it down to three hours, and the quality of the output was improved.
James Kelly: The speed of everything obviously significantly improved. It wasn’t a huge lift. We weren’t having to go through and create brand new data sets or anything else it, it was simply how do we take what we’ve got and then incrementally build from there. So we’ve then gone on and we’ve gone, how do we improve the forecasting for the worst performers and all of that kind of stuff.
James Kelly: We are now in a situation where most of the AI tools are good enough that you should be using them. If you are turning around and saying, I’m not, I don’t have time to find out how to use this, or This isn’t important to me, you’ve got what’s effectively a free tool sitting there that can drive significantly improved performance.
James Kelly: There is a little bit of a call to action there, because I think we are now at a point where there’s a level of maturity that means that now’s the time to get involved.
Mike Richards, CEO, The Treasury Recruitment Company: Welcome to this week’s Treasury Career Corner podcast, where I interview treasury professionals about their treasury careers. Each and every week I’ll talk to treasurers about how they build their careers, where they are now, where they see both themselves and the treasury profession. Going to next, let’s get on with the show.
Mike Richards: Today’s Treasury Career Corner podcast is with James Kelly. Now, what you’re gonna hear in a moment is my original introduction. So I introduce James back when I talked to him. He was the SVP of Treasury Risk Management in and Insurance at Pearson. So you hear that Then. We actually do the catch up at towards the end.
Mike Richards: So listen for that. It’s where now he’s co-founded a company called Your Treasury and they transform how multinational treasury teams operate through AI and Cashflow Mastery programs. So listen to today’s episode. Catch up with James. Well, you hear Pearson when we go up to date, some great value there.
Mike Richards: He talks about his passion for ai and then his passion for AI keeps going, um, into his new role. So enjoy today’s episode.
Mike Richards: In this week’s show, I’m joined by James Kelly, the SVP Treasury and Enterprise Risk Management at footsy 100 Learning company Pearson. During his time at Pearson James’ team have established a reputation as leading innovators winning awards at the ACT’s deal of the year awards for Pearson’s debut social bond issuance, as well as establishing comprehensive in-house bank structure, employing high levels of automation to drive efficiency.
Mike Richards: Pearson also uses TIS Cash Force, which is a leading AI enabled cash force deal ing solution, which James, I’ll explain a little bit more about lots of words. I’m trying to say this all at once, but we’re gonna go back to the beginning of James’s career, how he first discovered finance, treasury, and then bring out today.
Mike Richards: And then we’re gonna talk about some of the passions that he shares as well for AI and technology a bit later in the show. James, over to you. I’m enough of my voice over to you, sir.
James Kelly: Sure. Thank you, Mike. So I started out as a bit of a, a finance geek. I did economics in French at, at uni, went, did a couple of stints, investment banks and in my summer holidays as internships and then was looking for a job in September, 2001, which wasn’t a great time to be looking for jobs.
James Kelly: I started thinking what else could I do? And applied for a whole range of things, one of which was what? Same so I. I joined a re recent firm called Moore Stevens, did three years with them. Took on some interesting tasks. So I had clients like catering cars, formula One team, one or two others. And then I moved to KPMG and did sort of 18 months at KPMG as an auditor there where I had clients like action aid and children in need, which was quite fun from the charity sector and a variety of others, say a paper manufacturer, various other people.
James Kelly: And I then got a call, would I be interested in joining Kingfisher, PLC as a group accountant, they were looking for someone who could speak French. And at that point I’d had four years where I hadn’t used my French left uni, having thought, okay, French is gonna be a big part of my life, and, and say.
James Kelly: Jumped at that opportunity, thought I just got to the stage where I was like, I’m going into clients for three weeks at a time, getting to know them a little bit. And then you move on and you go to the next one. And I quite like to get my teeth into something and, and really be able to add a bit more long-term value.
James Kelly: So that came at a really good time joined and just at the point that I joined my then boss got an internal promotion, moved to investor relations and so it was me and the person I was taking out from had to run the half year from a group perspective. So that was quite fun. Threw me in at the deep end meant that I got lots of exposure to lots of things.
James Kelly: And so the normal kind of rotation cycle of, you’ll get to do balance sheet and you’ll do that for six, eight months and then you’ll do a bit of p and l and then you’ll do the next thing. That got crunched quite significantly. And you know, within about six months I’d tried almost everything. And, and within about a year I was working on the cashflow, which was considered the, the most technically, uh, challenging of the tasks.
James Kelly: And through that I was asked to help the treasury team with a few things, particularly transition to IFS and I was helping them with some work on derivatives and things, largely because I was seen as this sort of slightly geeky guy who could probably get my head around what was going on and teach people how to do sort of balance sheet reconciliations and that kind of stuff.
James Kelly: So I did that and around that point, the then treasury accountant decided to move on and I was asked if I’d like to move across. And so having been thinking I quite specialize in something, I actually been thinking tax probably. I thought why not? I don’t have any particular. Hi, anything and I was incredibly lucky.
James Kelly: I had two really top treasurers in the team and in Linda Hayward and, and Nick Fea, and actually that team’s amazing. You’ve got who’s at Walgreens? Yep. Gary Burton, who’s gone on and done some really great things. So it was a really excellent team, really thoughtful, competent people, really looked out for each other, but were also really clear about what they could and couldn’t do.
James Kelly: It was a really great grounding and I think one of the things that I, in fact, two things I took from that. The first was just how incredibly generous Linda was with her time and, and helping upskill me. And they joke, the 6-year-old asked 75 questions a day and I was very much in that count. It’s like treasury’s completely new to me.
James Kelly: I’m trying to get through year end. I had two. Brand new green people. When I started both pretty much out of uni at that point, my first instinct was to try and go it alone and, and then get them to do little bits. And I tried that for about a half a week and realized that’s never gonna work. I’ve got three people on my team, I’m gonna have to make sure that everyone’s carrying something, otherwise I’m gonna fall over.
James Kelly: So that was a really good lesson. And it doesn’t matter, you know, who you think you are. The, the reality is you need to work with others to, to get things done. And I think Nick was brilliant. Like just never closing anything down. Everything was, everything’s always possible. It’s just, you’ve gotta find a way of getting there.
James Kelly: And I think the fact that he’d made group treasurer really young was, was really inspirational for me actually, because at that point, and to be honest, it’s a little bit the same now if I go to. You go to treasury events there, there aren’t too many group treasurers in their early thirties. Yeah. And so it was one of those things that there was me 27 thinking, right.
James Kelly: It’s gonna be a long old road to, to get to that kind of level.
Mike Richards: I, I will say, I’ll jump in there and we will put a link in the show notes to previous podcasts I did with Linda. Yeah. So we had Linda on the podcast. Wonderful lady. She was also mentioned recently by Andy Henley at Tesco. Yeah. He took over and actually, funny enough, I placed Granja with Linda back in the day.
Mike Richards: So yeah, it was a great place to be at King Fisher. So yeah, great team and great people. And then what happened next? Or talk us through, ’cause you made some moves.
James Kelly: So I moved to, moved to Sky and I moved primarily to get more front office exposure. So the front office team at at Kingfisher were pretty well set.
James Kelly: It didn’t really feel like there was gonna be an opportunity to move across. And I wanted, I knew that if I wanted to move up, then I needed both front and back office experience. So Sky was a kind of midpoint in that. At the point that I joined, Mike Hazel was Deputy Treasurer. Alison Dolan was treasurer, and the model effectively was that Mike did the dealing, and myself and Mark Palmer, who is my colleague, the two of us, did everything else, including the analysis and the prep, et cetera.
James Kelly: So that gave me more exposure to doing the risk management side. Thinking about, in that case, we were working with a, a shared service center here. We were doing cash management and things, but just making sure that we were on top of things, et cetera. I stayed at Sky for about a year. I think I had amazing experience.
James Kelly: I got really heavily involved in a couple of m and a pieces. It’s a really intense place to work. That year, honestly, in, in my kind of mental timeline feels like it’s about four because I met so many people, I had so many experiences and some of them funny meeting Ross Kemp in the toilets, some of them more serious.
James Kelly: But actually I’ve, I look back on that time incredibly fondly. And Alison is now on our board of directors, so I, I sometimes see her audit committee meetings and things. So it’s funny how things work out
Mike Richards: goes around.
James Kelly: But yeah, so I, and around that time my, my first child was born Willow, and it quite quickly became clear two things.
James Kelly: One was, so Mike moved on, was replaced by Simon Morley, who’s amazing and was incredibly thoughtful and generous with his advice and guidance. But that, but Simon’s experience was on the front office side. They decided they were gonna bring in a designated treasury manager, mark and I would become back office.
James Kelly: Now, given that the number one reason that I moved to that role was to get front office experience. That wasn’t the best. Yeah. That blocked
Mike Richards: it. So it was time to,
James Kelly: and it was, it was a long commute and everything else, so it felt like it was the right time to, to try and find another role. And I had a couple of offers, but the most interesting was with Renta Kill in, in Clawy.
James Kelly: And I remember like sweating on that decision because I had an offer come in and then I had this renta kill thing, which looked like it was probably going to happen. But I was a bit earlier stage in, in that process and trying to decide do I go for the the known or do I gamble? And I’m incredibly glad that I gambled.
James Kelly: I joined as secretary treasurer to Nigel Roberts, who I think we had a really good working relationship. He’s incredibly structured, very. Good at prioritizing and has a really clear idea of strategy and communication.
Mike Richards: And can you explain, for our international business, renter Kill You, and I know them, the household names in the uk, but if you are in the US you might not know them.
James Kelly: So, so Rent and actually Amusingly rent are quite large in, in the US but they go under a variety of different brand names. So Renter Kill are effectively pest control and hygiene. So effectively you may see the initial brand sometimes in, in washrooms. So if you go into a public restroom, often there are renter kill hand dryers or soap dispensers things.
James Kelly: Some of that’s been sold since I left, but a lot of that’s there. But they’re very large in, in pest control and so in the US they’re, they’re Terminex and various other brands. So Western Pest Control and various other things. Yeah, so I was there five years. It’s a pretty decentralized business. Very innovative in terms of the way that people work together.
James Kelly: There’s a real culture of how do we make things better? So it sky, at the point that I was there, the Dave Brailsford Sky Cycling team was just being set up. The margin was against theory, and you were starting to see some of that same type of philosophy come through at Rentokil, where one team would come up with an idea that would increase efficiency for route planning, for example.
James Kelly: Ultimately, you’ve got people who are out in VAN who go to a site performance service and then move on to the next place. So you want as little time traveling as possible. And actually one of the things that we found was that FaceTime is in incredibly important. If you go around and do a good, great job, but no one knows who you are, you are unlikely to be re repositioned next time and the the RFP comes around or whatever.
James Kelly: So actually, in order to make sure that you get those renewals you need to make sure that you’ve got good relationships with people. But there’s a real kind of culture of, okay, they’ve had this idea, I’m gonna take that and how do I make it a little bit better? Which was really interesting. And I was lucky enough that my financial modeling skills are quite good.
James Kelly: And being the keeper of the rating agency per strings was often asked to, can we afford such an m and a deal? And so we built an m and a model, and I built this, the sort of equity m and a model. And that was designed to say, if we do 10 deals of 20 million a year, how long does it take before we start seeing meaningful progress on the share price?
James Kelly: How long does it take before the cash flows from the, those m and a deals start to pay for the next year’s m and a deals? And how fast does the ramp up happen? So if you want to get to a point where you can do it. Billion dollar m and a deal. How do you in say, five years time, how do you get there and how fast does the ramp up happen to be?
James Kelly: So that was really great experience. I got to work closely with the head of M and a, the C-F-O-C-E-O, et cetera. Got really great face time. And again, I tried to make sure that I was in the right place at the right time. And so anything that came up I was volunteering for. So I know that, for example, one of the last things I was doing was assessing the management L tips and monitoring.
James Kelly: How was the share price going versus the different targets and how likely were different payout levels likely to be? So quite good fun. Not massively challenging, but also one of those things that it meant you got FaceTime every day. I was gonna say, they,
Mike Richards: they want, they wanna talk to you. You are, you are a man in demand, which is great.
Mike Richards: E
James Kelly: Exactly, exactly. So it is one of those things, just trying to make sure that I really got involved and things, and we did some really fun stuff. I think we did three or four financings on the bond side. We did a couple of bank deals, started to put in a new TMS. So lots of kind of process changes, lots of financing, et cetera.
James Kelly: Lots of m and a, so lots of interesting treasury review technical pieces. And I stayed there for about five years and I reached the stage where I felt I, I wanted to work in a slightly different environment, somewhere that was a little bit more centralized and also. Given the experience I’d had in DCM, I wanted to major on that a little bit.
James Kelly: Yep. And so I moved to Associated British Ports, which at that point was the, the third biggest issuer of US private placements in the uk. So they own, I think it’s 21 ports around the uk. It includes Southampton, which is the biggest cruise terminal Ingham. And all up in the Northeast there’s effectively four across, yeah.
James Kelly: Port to all, all over the place. And interesting model, it’s infrastructure. Pretty highly levered. So six and three quarter times ebitda. And the model basically is add 15 million of EBITDA every year. That generates another 120 million of debt capacity or whatever go out, raise A-U-S-P-P, pay that to shareholders.
James Kelly: Nice. Relatively easy model, unfortunately. I joined just at the point where that EBITDA came under a bit of pressure, and that was because new taxes came in on coal imports. Coal imports had been between 20 and 25% of ebitda. And effectively the first three months of those there, I hadn’t realized, but they were the honeymoon period, because what had happened was everyone had got their coal imports in during that period.
James Kelly: From an a BP perspective, it was slightly unfortunate because that mark, what was really go going on. So there’d actually been a colossal drop off in demand. That drop off in demand, and then the kind of bringing forward of orders, actually, broadly speaking, came to what normal looked like. Mm. And so you looked at the trend and it looked like everything was normal, and then suddenly in the April, the new tax came in and the numbers just dropped away almost to nothing.
James Kelly: And so suddenly you go back and you speak to customers and you go, what’s been going on? And they say, look, we’ve been stockpiling this for the last three months. And you’re like, really? It hadn’t been apparent. But then subsequently it became clear that, that the underlying use of coal had been declining for a little while and in preparation for this.
James Kelly: And so I, rather than being busy on debt issues as I thought I was going to be, I was busy on, on, on ratings and working capital. So trying to make sure that the rating was shored up. There was a little bit of buffer in the capital structure to make sure that the company didn’t lock up, but it was one of those things that it was gonna be a bit tighter than we would’ve wanted.
James Kelly: The dividend was cut, but clearly that meant that the shareholders were somewhat anxious. I did a bit of work, particularly around receivables to make sure that we were able to generate some leverage that could then be paid to shareholders. So it was interesting. And I was there just a year. Again, really interesting formative experience.
James Kelly: I did quite a lot on the insurance side there as well. So got some really good experience there. And then this role at Pearson came up and it was a, we’re pretty heavily decentralized. We wanna build a centralized model. We’re looking for someone with multinational experience and you know. Yeah. Boom. Yeah.
James Kelly: And what was Pearson,
Mike Richards: what was Pearson like when you joined as a company? What was the situation there? That was seven and a half years ago.
James Kelly: Yeah. So there was still a little bit of a legacy from, we’d had a, a previous chief exec, Marjorie Scardino, who had effectively delivered relentless performance, 20%.
James Kelly: Growth year on year for goodness knows how long. And we got to a point where, you know, and, and so it meant that a lot of the businesses were very highly cash generative, very high margin. And when you’re in that situation, sometimes there’s only one way to go. And so her successor, John Fallon, had a rather harder job to try and follow that.
James Kelly: And he was unfortunate enough to come in at a point where Amazon was really reshaping the world of retail, in particular, the world of kind of book selling and student life and everything else. Since we had some pretty ambitious growth plans. And unfortunately we had a number of profits, warnings within the first few years that I was with Pearson as we tried to continue to meet.
James Kelly: Expectations in the market that was changing quite significantly. Yeah, rapidly. And John had a pretty tough job because he had to try and take what had been a largely print business with a variety of businesses, including financial Times and the economists that were hugely loved within the, within the organization.
James Kelly: And so when they were sold, and understandably, there were a number of people who really felt strongly and let down that these businesses were, were leaving. And so I think at the point that I joined, there was a lot of optimism and a lot of hope and a loss of perseverance and ambition to try and make sure that things worked.
James Kelly: But I think also a degree of anxiety that it’s a difficult balancing act to transform and meet expectations. And have a clear idea of what, where you are going and where you’ve been and a clear narrative. And I think that was a difficult piece to, to pull off the first couple of years from my perspective, was quite a kind of tidy up exercise.
James Kelly: I joined and we had over $2 billion of cash on balance sheet and over $3 billion of debt and we just needed to respect that. Our net debt was probably going to be about a billion or, or maybe a bit less for the foreseeable future. While we went through a transformation, we had a couple of large, very ambitious efficiency programs that we run.
James Kelly: We ran, I got pretty heavily involved in the first one, which is how I took on insurance, having looked after insurance health, where I had a colleague who was looking after compliance, who I. Took this on and said, I, I don’t really know where to start. So we agreed between the two of us that I take on that part of his cost saving task.
James Kelly: And it was really interesting, quite challenging at times. Made your ability, you had, uh, absolutely unbelievable transformation effort. Just really interesting because you’ve got this transformation going on in the business. You’ve also got, from a finance perspective, we were trying to transform all our processes, move to standard ERP processes, et cetera.
James Kelly: And I was going into this thinking, I need to make sure that I really think about how best to design processes and practices in a world where accountability, for example, for the balance sheet is going to be very diverse. You can’t just go to somebody and say, tell me what’s gonna happen in the US because it’s actually, it’s five different teams in five different locations, and they’ll all know a little bit of the, the puzzle.
James Kelly: So trying to pull all that together and make sure that you’ve got a kind of coherent story and a manageable process was really interesting. And that’s part of the reason why we put the cash force in initially so that we could start to build more of the, the forecast ourselves and then go out to the different teams and get them to interrogate it rather than have hundreds of stakeholders who we were trying to get feedback from and, and triangulate it.
Mike Richards: And you’ve always, and, and nicely segues into, you’ve got this passion for, from process, from cash forecasting, but all things, and I noticed, and anyone that does connect to you, we’ll put you link to details later, but we’re not quite there yet. But you love AI and automation and processes and some, we were talking just before the show, I recently did one a session for the Manufacturers Alliance Association in America.
Mike Richards: Some of them were talking about how they were doing the scraping and I did a presentation. Yeah. And they were loving it. And you and I talked about there’s some people that, other people that run for the hills, but I think it’s a lack of understanding. Sometimes treasuries are laid to adopt with you. How come you are so passionate about it?
Mike Richards: Where does that come from? Burst of, if you want.
James Kelly: So I, I think it’s one of these things. I think the first thing is I’m massively practical, so I, I don’t have a philosophical love of ai. Makes sense. Yeah, it does. It’s a, I love it because from a selfish perspective, it’s a massive help. It’s one of those things, and, and I, I think what’s transformed is the ability to be able to do things yourself.
James Kelly: So with things like RPA, you’ve had the opportunity to automate bits of processes. Again, if you automate bits in your TMS, you can make strides forward. But generally speaking. You’ll need some kind of consultant in. Yeah. Whether it’s to build the automation in the TMS, whether it’s to build the RPA and getting hold of capital to, to bring people in can be difficult.
James Kelly: And one of the key challenges is that treasury is solely varied. That you’ve got 50 processes or something, not five. And so saying, okay, I’m gonna spend my budget this year in order to try and automate this process. And then you’re brilliant. I’ve automated one of my 50 processes. The other 49 is still crap.
James Kelly: One is just have absolutely brilliant. It doesn’t really make sense. And so you need to have the tools to be able to go after a variety of different bits. I think to date what’s happened is that the TMSs have been pretty good at automating processes where there’s a high degree of standardization, broadly speaking.
James Kelly: We all execute FX deals in much the same way now. Interest rates, swaps, there’s a kind, there’s a market convention. They’ve all got to be registered with a repository. But there’s a very standard process once you get onto things like p and l reporting, or to some extent hedge accounting. I know you can do in the TMS, but again, it’s quite heavily customized.
James Kelly: Often, you know, you get into territory where it’s quite a high degree of customization for each individual firm. That’s not very easy to do in the current business model because A, there probably aren’t enough consultants out there for everybody to constantly have someone building things and, and B, you never have enough budget.
James Kelly: So where things are really starting to unlock is by combining different tools, by using a large language model with Python or a large language model with power automate, or. In a variety of different contexts, you can really unlock a lot of value and it’s happening at, at at pace, which means that you can, you can now start to go at things that mean that you are able to get to a position of ease.
James Kelly: And I think the position of the treasurer hasn’t necessarily been one of these over the last few years. Hmm. Most of us still struggle to get full visibility of cash balances, let alone build the current forecast that covers everywhere. The reality is that there’s a lot of satisficing decisions that we have to make while focused on the key markets because that’s what we’ve got time for.
James Kelly: We can’t focus on everything all at once, and that means that inevitably you’ve got some blind spots that you’re not able to keep an eye on. And the nice thing about some of this tech is that you are able to really make a difference. So, so you use the web scraping example. We’ve now got all our, um, all our banks’ websites linked to a web scraping tool.
James Kelly: So we now pick up, whenever their credit ratings change, that automatically sends a message through to us to say, by the way, this has happened. So previously we had a model where we check once a month, we’d check what the movements were and effectively we’d look at what was it before? What is it now? Okay, it’s moved.
James Kelly: Do we do anything with it? That’s not necessarily very timely if you have a Silicon Valley Bank type prop. And so again, you can set things up to monitor and those other things. And so I find that really interesting.
Mike Richards: James, if you are, and I was, I’ve been scribbling notes here as well, and this is all very well for you ’cause you love these process and you’ve got a gift for it as well.
Mike Richards: But if you are a treasurer, and again, some of them were this, this discussion the other day, who’s nervous about. That they feel they might be adding to their already overworked, stretch schedule. How would you ease their thoughts?
James Kelly: How would you calm them? I think I would always start with something small.
James Kelly: Yeah. I think the things that are talked about in the market are, generally speaking, not necessarily very helpful to the average treasurer. Yes. Something like cash forecasting is, I describe it as like the Everest of tasks, because the reality is that you are looking for exceptions. When you’re looking at your cash forecast, you’re not really thinking about, is my balance going to be 3% higher or 3% lower?
James Kelly: What you’re actually looking for is the, what’s the massive payment that’s going out that you weren’t expecting, or like where’s the unexpected receipt? So you’re looking for outliers. That’s a really hard use case, and just as in the same way, you wouldn’t start running by going, I tell you what, we’re go and do a marathon.
James Kelly: You’d always start by, start with something small. And so like relatively easy things to do are just looking at, for example, documentation or looking at can you build a quick report that sends information to you about three different things or whatever. It’s quite easy to pull data from Excel files, other things.
James Kelly: So I did an example quite recently for example, where I’ve got a Python built Gantt chart and so I have a, I have an Excel spreadsheet that’s got the pen tasks that need to happen, the start and the end date, and I just update the Excel spreadsheet that gives me an automated dashboard that looks quite sexy.
James Kelly: The reality is it took me 25 minutes to build the the script. It’s relatively easy, and again, to be honest, you can do that with a larger language model. Just say, give me the Python script. To build a guide chart outta this Excel, upload the Excel and it, it will do it for you. So there’s some really simple stuff.
James Kelly: I think you have to be a little bit careful about data privacy. So I always work in terms of kind of general themes. If I’m gonna share some data, then I might share column headings. I won’t share what’s in the columns. The actual data, doesn’t it? That’s fair enough. That’s
Mike Richards: device
James Kelly: that then means that, you know, system is able to work out what does it look like, and you can always say it’s got these headings and there’s 500 lines or whatever, and it will then generate a script.
James Kelly: You can then use that for whatever you’re, you’re looking for. What I find is really useful is that this technology is really good for augmenting data. So often one of the things that I find is difficult is that you’ll have one data set that has most of the information that you need. So for example, if I’ve got my bank balance, this.
James Kelly: And then I’ve got another data set over here that’s got my credit ratings per bank, and then I’ve got another data set over here perhaps that’s got my foreign exchange positions. You can use the technology really quickly to crunch all of that together. It doesn’t really require any technical skill. And again, it’s one areas things, uh, GPT or use flawed AI or Gemini or, or any of those tools.
James Kelly: Explain that. This is what I’m trying to do. I’m trying to bring this column in related to this particular item that’s in the first thing, buy bank account. I want to sort for what’s the credit rating of the relevant bank and it’ll do that for you. And that’s quite a, that can be quite a fiddly thing to do when you’ve got different data sets.
James Kelly: Yes.
Mike Richards: Yeah. Yeah.
James Kelly: Particularly, we’re getting to a point where you can. Speed, all of those things together. And so one of the things that I’ve been looking quite hard at is how we build, how we provide tools that allow you to connect all of these different pieces.
Mike Richards: You and I talked about this as well, that treasurers have a natural correct concern, if you like, about data privacy.
Mike Richards: You touched on it there, but what you are talking about, as you say, is publicly available models, not giving them private information, but it’s giving them public information and as you say, it’s putting together the pipe work, it’s doing the plumbing for you and so much quicker that Right.
James Kelly: The challenge that we have is that generally speaking, we’re kept on the outside because of these data privacy concerns.
James Kelly: Yeah. And fundamentally, we’re in a situation where, generally speaking, the tool that we have is a treasury management system, and if there isn’t something built for that, then we are typically looking at Excel or Outlook, neither of which are particularly designed for. Project management, like large scale data analysis, data reporting, all of those other things, you’ve now got these amazing tools out there in, in the wild.
James Kelly: And my, the reason why I’m passionate about sharing this is that I think that there are great opportunities. I can’t explore them all personally. My team can’t explore them all personally. So I’m really keen that other treasurers get out there and try stuff and go, Hey, I, hey, I tried this and I’ve got this great idea.
James Kelly: And I think that as a treasury community, we can really make big strides forward because actually we’re in a situation where we’re not reliant on. Oh, thank you very much, sir. It, it’s on the, it’s on the implementation list. We’ll develop something over the next 12 months or whatever. Mm. This is something where we can do something now.
James Kelly: And in my 15 years in treasury. That’s a pretty rare experience. Mm-hmm. You look and it, the barriers to entry on most technology are quite high. Everyone’s got a phone in their pocket right now. I can go onto a human AI and I can have a conversation with it, and it will in it understand through facial gestures and tone of voice, et cetera, how I’m feeling in terms of giving me advice on, you know, things that I could do to relax or whatever it happens to be.
James Kelly: I can go on presentation AI and it will produce a PowerPoint presentation for me if I give it a prompt. Yeah. There’s all these amazing tools out there, particularly, it’s really interesting, even in the treasury space there, there are some mega geeks out there who created some weird and wonderful things, so there’s a cash management gt, which is actually quite good.
James Kelly: I tested it out thinking, oh, this. Answer the difficult stuff. So I was like, what are the rules and regulations for opening an account in Nepal and was pleasantly surprised, actually got most of those. Wow. So actually there are always things out there that can act as research help apart from anything else.
James Kelly: And so I used things like CLA a lot just for, I’ve got a paper to write. Here are my 10 ideas. Again, I won’t include anything sensitive, but I’ll say this is about give us some guidelines.
Mike Richards: Yeah. And, and we, sorry. We had Dan Ferguson on the show a while ago, and he talked about being insurance for many years and using their own internal chat GBT to get an answer for a CFO for something that would’ve taken them hours.
Mike Richards: Now it’s seconds. We had Dana scraping our FX exposures. It, it’s basically enabling you guys and it enables me, I had three original articles today that I needed to update and bring up. It wasn’t ai. People have said, oh, AI generated. No, it wasn’t, it was generated by me, but I need, it needed a freshen up, it needed a reflection.
Mike Richards: I said, look, can you look at this? What have I missed? And actually there was a 10.1, which I an have a light. I said, condense, sanctify, and make it more interesting, or tell me where I should focus my efforts. Well out. It came a really good five point summary. That’s, that’s my want.
James Kelly: And the reality is that AI is a huge area.
James Kelly: Yeah. You know, it’s, it’s a little bit like describing athletics or something like that, or sport. It covers everything from, from competitive marbles up to ultra marathons. And there’s a kind of, what you’ve got is you’ve got a situation where large language models have made a lot of these different types of technologies more accessible for people.
James Kelly: Don’t necessarily change the underlying technology. If you listen to data scientists, they’re still going underlying, it’s still an REMA model or the, the correlation Covance is still being calculated or whatever it happens to be. But it means that you and I can interact in a way that we don’t have to be coding experts.
James Kelly: Yes. And that’s the key change is democratize this stuff. Yeah. Rather than learning a language for three years and being like, I now know Python inside, that you can have a pretty good go day one. Exactly. And I think what’s really interesting is that there’s tremendous potential in these things that we just haven’t, as treasurers had access to because of the fact that A tools haven’t been built for us, and B, they’ve been in other disciplines.
James Kelly: And so you, the barrier to entry in terms of the amount that you have to learn in order to use the technology, et cetera, has been too high.
Mike Richards: Coming down, as you say. Yeah, I see the evolution. Latest chat, PT four zero come out and now it actually finally, even though my developer had built it, so it tried to remember my tone of voice, it kept on saying really cute phrase like, no, this is not me.
Mike Richards: Look back at this up. But now, because it’s iterating based on my previous, we’re gonna feed, feed in more of that it, it sounds, and it’s giving me more, it’s not writing it for me, it’s helping me get faster and produce work quicker. Her as well. So we we’re try and be respectful of your time, but also people’s time as well.
Mike Richards: So we’re gonna put your LinkedIn details in the show notes. I think there’s some great takeaways for people. What are the takeaways you’d like? You’ve heard the podcast few times, so it’s guys starting their careers or people a bit further through your, Chris, what are the takeaways you’d give them? James, from today’s show?
James Kelly: I, I think three things probably. I think in terms of people starting out try stuff. Be adventurous. I think one of the great things about people coming into treasury is they’ve got the opportunity to bring different perspectives and different ideas, uh, and that’s really fresh. So ask questions, make life difficult, ask why are we doing this?
James Kelly: Because that’s how we get better. I think the second piece is if you are trying to progress in your career career and trying to take steps forward, don’t be afraid to try something different. If what you’re, if what you’re trying isn’t working, it’s almost certainly not you, but sometimes it’s the situation that you are in.
James Kelly: So think about how do I take a side sideways step, try something different, try a different tactic in order to get to where you want to get to. And then I think the third thing is in terms of makes somebody different and what makes you exceptional, that gets you to the top. It’s an openness to working with others, trying new things.
James Kelly: And really being thoughtful about, it’s really important to make sure that you get the basics. You need to be tech, a technical expert. You need to be a really strong communicator. You need to be thoughtful. You need to be someone who people want to work with and who open to ideas. Give people a, a chance and see where things get to.
Mike Richards: So as you say, be adventurous. There you go. And don’t be afraid to get out of your comfort zone. Brilliant. And yeah, openness and, uh, keep going. So amazing. So thank you very much. We’ll put your details in the, uh, show notes, so you’ll expand your LinkedIn network overnight. Who knows? Lovely to have a session with you.
Mike Richards: Thank you very much, sir. Thank you, Mike. So on. Welcoming back James Kelly, when James and I you’ll have just heard the podcast, it was amazing. We would talk about AI and treasury. James was at Pearson before, but things have moved on a little bit, so this is one of our update podcasts. You can go back through our archives.
Mike Richards: You’ve got other ones, which is great. Have an original podcast, then you catch up with people. This has only been a year since I spoke to James. James, have you sat back in your chair? OnAir? Not much has happened really since we last spoke. Right. Uh, over to you, sir.
James Kelly: Yeah, it’s been a completely quiet year.
James Kelly: Completely new, normal. Yeah. I left Pearson, left the life of a corporate treasurer, and I seem to have become a, a teenage girl. As I spent my time now waiting for the phone to call, the phone to ring or checking in on proposals and things. Now it’s, it’s been really interesting. I’ve set up my own business with, with a guy called Dominic Lynch, who’s former treasurer, a bit Panda and go student.
James Kelly: We brought in a data scientist from Canada. The idea was we wanted to be a varied group to begin with and we wanted to be international. So the
Mike Richards: name of the company now is,
James Kelly: it’s called Your Treasury.
Mike Richards: Yeah.
James Kelly: And the idea basically is we’re called your treasury because the idea is that we want to be a support network for treasurers.
James Kelly: So if I think about my team at Pearson, I was really lucky in the end. I was able to bring in a data scientist and, and I got car blanche to, to do a lot of the work that I, I do on sort of automation and python and things like that. But that was quite a hard slog. I had a lot of fights with it. To get access to the tools that we use.
James Kelly: It took a lot of. Engineering in order to be able to bring in the data scientists, et cetera. And really, I felt that’s not accessible to most people. Yeah. And I remember a while ago hearing HSBC do a talk on big data and then going, there’s amazing information you can get. All you need is go to your IT department, tell them you don’t dunno what you’re looking for, you dunno how long it’s gonna take and you don’t know what your budget is.
James Kelly: But could they just do some data crunching and there’ll be some gold in there? That’s all
Mike Richards: they do.
James Kelly: A a, absolutely. We all completely un-funded. The business cases always land well. So it’s one of those things that this kind of offers the opportunity for people to learn about things co-create, use our data scientists, things like that so that they’ve got access to tools that maybe they wouldn’t have otherwise.
James Kelly: So the way that we’ve set the business up. We’ve got in Microsoft IEO, we’ve got all the key tools that we think people need in terms of large language model, a Python environment. We’ve got automation tools. And effectively the way that we work is that we help co-create ideas with people and then we deploy them on their network so that they’re then available for them to use.
James Kelly: Everything is designed to be very editable and something that they can maintain themselves, so that effectively you are not having to wait for the market to bring all, all of these ideas to, you’re not having to wait for a TMS vendor to bring something in and, and I think that’s important because actually a lot of the things that drag treasury teams down are not the things that TMSs currently do.
Mike Richards: Yeah. You talked about it. I’d re-listened to it. I said I’d re-listened to our episode, and anyone that necessarily, they’ve just heard firsthand. You talked about in TMSs this standardization of data, which is great. Actually in treasury there’s not a lot of standard data sometimes. And it sounded like you said, and again you said there was a specific gap with these little challenges.
Mike Richards: And you and I have talked about this, find a little problem in treasury, get buy in, and then you prove it’s worth and then, oh hang on, we’ll invest in that ’cause you’re saving money. Oh wow. Hang on. Iterate and iterate. Can you go talk to speak to that for a moment?
James Kelly: Yeah. So one of the, one of the things that large language models like GPT and Gemini and copilot, et cetera, are really good at summarizing information and translating between different methods.
James Kelly: Yeah. So you know, things like account opening, Python and a large language model are quite capable of reading a PDF form.
Mike Richards: Yeah.
James Kelly: They’re quite capable of sourcing information from databases and from their training and that kind of thing to suggest here’s how the form should be completed. Okay. Using Python, you can then get the form completed in the PDF.
James Kelly: Some of the models are allowing you to do that. At the moment we’re not quite there yet. Generally, yeah. Certainly for with the enterprise ones. So you are in a situation where effectively if someone sends you a, an account opening form and most of the information’s generic Yeah. Then you can just self serve on that.
James Kelly: Yeah. Rather than have to go through, fill it in. And that moves you from the position of being doer to being reviewer. Yeah. And I think one of the big challenges for small treasury teams, and most ARS small, is that it’s really difficult to be both the, in the detailed doer and the strategic thinking. Big ideas reviewer.
Mike Richards: Yeah,
James Kelly: exactly. And so the more that you can take some of these basic tools, which or basic tasks, which really are only being. Done. Because there isn’t a kind of an obvious automation tool that allows you to translate. KYC is another example. The request comes in through email, through forms, all sorts of things.
James Kelly: Like it’s the same questions. Yeah. They just need converting into a standard format and then you can use automation. So there’s, there’s lots of opportunities to help people with what feel like little wins, but actually when you add them up, yeah. Add up to a big chunk of time. Um, and you talked,
Mike Richards: sorry, and jump in you, you also talked, you and I’ve talked about this repetition if you like.
Mike Richards: Yeah. Lot repetitive tasks and treasury, and you’ve even described it yourselves, that manual workload for treasury can be say 20%. Yeah. And that’s one day a week. And if you could then free that up, you’d have all that extra time. But what does that look like in practice? Can you give us any examples?
Mike Richards: Because I know you have got some examples you worked. Yeah.
James Kelly: So the one that springs to mind is. Some work that we did on cash forecasting with the company. Now, this isn’t the sort of classic we put in the machine learning tool and nobody had to do anything anymore. Think this was just, we took the existing process and we redesigned everything so that effectively we replicated what were the business teams doing?
James Kelly: Yeah, what emails were they sending out? All those other things to populate the, they were using spreadsheets, populate the spreadsheets that were coming in, and then for the central team, like how could they make sure that the spreadsheets were received on time? Automated chasers. If something looked odd, then we had automated validation, so it would send something through immediately to say, Mike, I’m not sure that your submission looks quite right.
James Kelly: Would you mind answering this? Plug
Mike Richards: it. Yeah.
James Kelly: And doing that immediately rather than doing it later, makes a huge difference because you’re much more likely to get an answer there. And then because people are in that mode. Whereas if you wait three hours, accepts a precedent, and you probably find it’s another three or four hours before someone comes back, that’s almost the next business day.
James Kelly: And suddenly you find that your whole process has been held up by 24 hours because of the fact that there was one glitch. One glitch. So we took a process that was taking 40 hours a week across six finance staff, and we took it down to three hours, and the quality of the output was improved. The speed of everything obviously significantly improved.
James Kelly: It wasn’t a huge lift. We weren’t having to go through and create brand new data sets or anything else it, it was simply how do we take what we’ve got and then incrementally build from there. So we’d then gone on and we’ve gone, how do we improve the forecasting for the worst performers and all of that kind of stuff.
James Kelly: But actually we just started with, okay, what are the things that are causing this to take 35 hours rather than three hours? Yeah. And then how do we cross those out one by one so that we’ve then got the time and space to go, okay, how do we make this really good now? And we see that across the board. Like one of my favorite little wins is around tools that just auto import spreadsheets into your TMS or your ERP or Power bi, so that when you’ve got, like most companies that I’ve worked in have a situation where.
James Kelly: The big operating entities are on a standard ERP.
Mike Richards: Yeah.
James Kelly: And then there’s always a few that have been acquired, or they’re in Latin America or something like that where they’re not on the standard platform. And the reality is that if your system is 80% automated, but 20% of the data isn’t automated, your process is not automated because that manual process just overrides everything else.
James Kelly: Like the reality is that the automated bit, that doesn’t take any time, but all the time is on the manual stuff. So the quicker that you can take the manual stuff, put it into the automated process, and then just have a streamlined process, the better it is. And having those little tools that. Will help you achieve the res, the right result every single time makes a huge difference.
James Kelly: And, and it’s just, it’s being smart enough to make sure that they, if someone changes the format slightly, it doesn’t break.
Mike Richards: Yeah. Making sure they all work and you work hand in hand and yeah. Again, I said I was interviewed recently myself and then I was asked this question and I’ll repeat it to you actually ’cause you and I have talked about it, is how are so treasurers generally I found are late adopters.
Mike Richards: A lot of time they wait till things have happened. Particularly as you say, staff constraints sometimes and bandwidth. Yeah. But also, how are you seeing FTSE 100, fortune 500 reacting to ai? Are they skeptical? We’ll wait till it’s proven. Some are all in. Or curious or what’s the balance across? ’cause you are out there and I know that you and I have had private conversations about someone that’s a hundred percent in and then suddenly they’re 5% in and then 5%.
Mike Richards: What’s that like?
James Kelly: So. It depends. It varies quite a lot between geographies. Okay. So you’ve got some geographies, for example, in the Middle East. Yes. Where the government and the culture is very behind. AI is the way forward. Yeah. And therefore people are very enthusiastic adopters. Fortune 500, again, pretty enthusiastic adopters.
James Kelly: There is some nuances in that Some companies, for example, don’t pay for training. And that’s a slightly different dynamic because the tools are relatively inexpensive. But learning how to use them, particularly in a treasury context, yeah. Does require a bit of training in order to really get the most out of them.
Mike Richards: And when you, so when you mean training, do you mean for the individuals to use them or do you mean in general for the group or how
James Kelly: for groups is better? It, and we’ll probably come back to this, but I think we’re getting to a stage where. Organizational alignment, particularly within a treasury team, is quite important in order to really get the maximum benefit.
James Kelly: Otherwise, what you end up with is pockets of disparate systems that don’t really talk to each other and everyone ends up a little bit out of whack.
Mike Richards: Yeah.
James Kelly: The UK is just changing, so I think if you’d asked me this question six weeks ago, I’d have said that people were focusing on other things. They’re focusing on refinancing.
James Kelly: Yeah. And and other pieces. I think we are now in a situation where it’s starting to move up the priority list. It’s not yet at the top, but it’s one of those things that. Every conversation now begins with what are other people doing?
Mike Richards: Right.
James Kelly: Because quite clearly people are going, I want to be able to say these people over here, they’re running ahead.
James Kelly: Let’s catch up. Let’s back on. Yeah. So I think we’re, we’re probably three or four months away from seeing a bit of a an up.
Mike Richards: And is that down to their maturity levels in terms of them as treasury teams? ’cause and also, or their size. Because you’ve got the top fsy one hundreds and then you drop down the fsy two fifties with two, maybe one person is the, Hey, I’m the treasury team.
Mike Richards: You know, how is that
James Kelly: So where you’ve got one person, treasury teams, they’re super open. It’s one of those things that, anything to help. Yeah. You and I are both in an entrepreneurial environment. Yeah. And if you look at small businesses, there’s massively high adoption of ai because the reality is if you are one person, like if someone says to you, Mike, you never have to worry about invoicing ever again, would you like your accounting automated?
James Kelly: So it is this a promise this? This is anything that allows you to focus on your key objective, then that’s awesome. Where you get into larger organizations, where effectively a lot of these support functions are already done for you and you have a more kind of narrowly defined remit, the benefits become a little bit harder to achieve because you’ve effectively the things that you do also have to coordinate with other people.
James Kelly: Yeah. That doesn’t have to be super coordinated, but it is one of those things that you are fitting into kind of other people’s objectives and that kind of thing. So when you get to the very big organizations, what you tend to find is that firstly, it’s much better to deal with teams because again, you just help everybody through on the same journey.
James Kelly: And secondly, from my perspective, anything has to be quite tailored for whichever company you’re working with because of what is their general environment, what ERP system are they using, what TMS, what email and copilot type system are they using, et cetera. Because it all has to fit together neatly. So I think there’s a, there’s a, there’s an interesting piece there, but it is coming together and I think I.
James Kelly: The exciting thing about where we are is that so many of the key questions that existed 12 months ago have been answered. Yeah.
Mike Richards: Our podcast is sponsored by I-C-D-I-C-D are an independent platform trusted by thousands of treasury professionals worldwide to manage short-term investments. One Global Treasurer recently told me it was one of the smartest technology decisions they’ve made.
Mike Richards: No license fees, rapid setup and tangible returns. If you are looking for a smarter, simpler way to manage your liquidity, then head to find out more at our partners page, treasury recruitment.com/partners and find out much more. Let’s get back to the episode. And again, I did, and you commented very kindly on our latest newsletter this week where I said, I was just bringing up here.
Mike Richards: So AI and Treasury isn’t an evolu a revolution, it’s an evolution. You and I have talked about this. Yeah. But I think also I. It comes down to, and I put it in this week’s newsletter on the video as well. And when I commented and I said, look, I use AI in different forms. It doesn’t write my newsletter, but it helps me improve it.
Mike Richards: It asks me questions and it’s it using as a tool, not as a replacement, but it’s a helper, not someone’s, someone said, oh, work can replace all this. And I get these emails that, oh, we can replace this. And I got even one this morning, oh, we can do your LinkedIn. I thought, I don’t want you to, I wanna do these video.
Mike Richards: I don’t wanna have an AI avatar do it for me. Yeah. I want to do it because then it gives me more time to spend with my clients. Yeah. And with you, I was gonna ask, but some of these treasure professional listening are still nervous because it’s an emotional thing because we’re not robots. We are literally not.
Mike Richards: How, what’s your approach to helping teams overcome that hesitation or fear of what is unknown to some people and stretch to things?
James Kelly: Yeah. I think. We start from a very human place. Yeah. And so in a sense to, a surprise to a lot of people, our training courses all begin with nothing treasury related. We work through, let’s just play and explore what you do.
James Kelly: Yeah. We give people case studies and go, imagine you are now running the local Tesco and you’re gonna create an ad campaign or whatever it happens to be.
Mike Richards: Yeah.
James Kelly: Local community campaign. Just things that get people trying different tools for different things so that you open your mind and start to see the opportunities.
Mike Richards: Love it.
James Kelly: Because what we don’t want to do, and we think it drives bad outcomes, is if you start with, this is my existing process, how do I make sending that email out a bit faster? Or how do I make consolidating it? It’s one of those things that the reality is that the technology is there to be able to make revolutionary change.
James Kelly: Within the kind of the framework that’s, that already exists, if that makes sense there. There isn’t like a new risk management idea like FX management that hasn’t been invented. Yeah. Like it’s not doing that. But what it can do is if you look at something like a cash management process, that is still, for many years it’s been built around this idea of one person does a bank rec, one person checks the cash positions, another person does actual versus forecast analysis.
James Kelly: Then you do the commentary, then you look at what the positions are. Effectively you can do all of that in one automatically on upload. Yeah. Because the data’s there for the forecast. The data’s there for the actuals and it can all just, it can spit all of that out. Produce a nice report, et cetera. But if you went at that one bit at a time, it would take you a lot longer to build than if you went, let’s just do the whole process as one.
Mike Richards: Yeah.
James Kelly: So it is one of these things that the fun bit is helping people reimagine, because otherwise you end up focusing on, on tiny bits. So you go, okay, I used to work for a shipping company, for example. They usually do a lot of bank guarantees. So you’d be there going, how can I com improve my communication with the bank?
James Kelly: Actually, you could, like the whole piece can be re-engineered. Say that. Why not just reimagine it and say, let’s have a five minute conversation. I. Over a teams call or a Zoom call or whatever, ask people some questions. Use this transcripts to populate the form to send off to the bank, and you can send the video to the bank.
James Kelly: So if they want some background, like that’s the kind of like, it’s a much quicker process for everybody. You get much more context, but you don’t get that if you start with the idea, I want to improve the speed of sending something out.
Mike Richards: Yeah, just think of your day-to-day problem, as you say. I’ve done that sometimes where I just record.
Mike Richards: Right. I’ve got this issue and I’ll do it more and more, gimme some ideas about how to solve and then it comes up with something. Hang on, I didn’t even think about that. And I know that you and I have talked about the fact that you are with your treasury as a company, you are very open to having those conversations, aren’t you?
Mike Richards: So we, we will have your details and show notes so people, you’ll just have that five minute chat because then people go, oh, okay. And it’s not, it’s not a sales pitch, it’s just more because you’ve been on both sides. And actually that was what was a question. You’ve been on both sides now. You’ve led internal treasury teams, now you’re an external advisor, helper.
Mike Richards: If you coach, if you like, how has your view evolved or changed now you’ve got both. ’cause it’s a great thing for you. You’ve got both sides.
James Kelly: I think it is really sharpened my insights.
Mike Richards: Yeah. I
James Kelly: it’s, it is one of those things that you realize much more clearly what drives being able to do a project or not do a project.
James Kelly: And it is quite easy to have a textbook view of if you’ve got something good to do and it’s got a decent ROI, then it will happen. Yeah. That is absolutely not the case. There are tons of those ideas out there. Getting the ROI is just the minimum hurdle to get over. Actually what you need is something that is going to move the needle that people are excited about because it’s got to be the project.
James Kelly: People can’t do seven projects at once, therefore you are not competing with a a hurdle rate. You’re competing with the ability to, for people to do more. Yeah. If that makes sense. Whether that’s better support the m and a deal drive better outcomes in the broader business. It, it’s one of those things that you need to be able to communicate.
James Kelly: What is the thing that if we don’t do this, we won’t be able to do.
Mike Richards: Yeah,
James Kelly: and that’s where, if I think back, the things that used see to worry me were. Cash management process not being good enough. You say that if somebody made a forecast error, it was often like an hour and a half or two hours before we were able to get money, fix it, transfer it.
James Kelly: That’s horrible experience. ’cause the CFO probably hears about the problem or you tell the CFO and they’re like, okay, that’s fine. Like we didn’t know about this payment. So like how’s it going? Like that period where you’re going, we’re just working on it. At that point the CFO is going, I surely they just transfer some money and it’s over.
James Kelly: Is there a problem that I now need to worry about? So actually like the quicker that you are able to resolve the problem, it becomes a micro drama. At that point, the CFO just goes, okay, they’re crap at forecasting. I don’t usually wor we’ll improve that, but actually there weren’t really any dire consequences.
James Kelly: Yeah. Similarly on the FX side, you always knew that there was like data out there in some of the businesses that were. Off the main ERP systems. You’d hear things about their inter companies, a bit of a mess and all of that kind of stuff. And you’re like going, I know there’s a position there, I just don’t know how big it is.
James Kelly: And I’m hoping that there’s not going to be like a 30% FX movement and then suddenly I’m going to have to explain something that I, you know, being able to get into those weeds and, and go, Kelsey, the things that we keeping me up at night. I’ve dealt with all of those. So Mr. CFO, Mrs. CFO, you don’t need to worry about this now, like treasury is sorted.
Mike Richards: So we’re gonna, again, we’ve already put your LinkedIn details, but we’re approaching the end of the show again as we did the second time round. And I said to you earlier that I’d re-listened to our show and I said we were really good. We like, we were eloquent. It was about, you were eloquent. Anyway, so looking back, people will have heard it 15, 20 minutes ago.
Mike Richards: One of your takeaways if you’re young treasurer was to try stuff. And then I was just doing the screenshot, it said. Important to get to the basics, but you also need to be a technical expert and be a strong communicator. Thoughtful someone who wants, people want to work with, who’s open to ideas, uh, give people a chance to see where things get to God.
Mike Richards: Some great advice here. Um, and be adventurous now without being too adventurous as treasury, you don’t want people being crazy. Yeah. Um, your reflections now and maybe from an AI textbook to wrap up today show.
James Kelly: Yeah. So I, I’m gonna use an AI angle because it’s one of things that the higher up you go in, in an organization within treasury, the more important it is that you are really good at getting the most out of your team.
James Kelly: It’s less about individual performance, it’s about the collective that you are able to facilitate. And so you have to be good at delegating, you have to be good at working with others. And if you’ve got people that you are not getting the most out of, it’s going to be obvious and people will start asking questions.
James Kelly: Now, we are now in a situation where most of the AI tools are good enough that you should be using them. If you are turning around and saying, I’m not, I don’t have time to find out how to use this, or This isn’t important to me, you’ve got what’s effectively a free tool sitting there. Yeah. They do it. It can drive significantly improved performance.
James Kelly: It is one of those things. It does take a little bit of effort to learn to get from, I’ve experimented and I can do meeting notes and that kind of thing to a level where it’s able to write reports for you in your style of a really high quality, being able to integrate data and being able to combine data sets and that kind of thing.
James Kelly: But if you’ve got somebody in your team who’s got amazing data skills. Who can speak multiple languages and who can take notes for you and who can follow up action points and trigger actions and all sorts of other things, would you really leave them sitting in a corner and ignore them?
Mike Richards: Gathering dust?
Mike Richards: Yeah.
James Kelly: Yeah. To use them,
Mike Richards: James? Yeah, go on.
James Kelly: So I think it’s one of those things, there is a little bit of a call to action there because I think we are now at a point where there’s a level of maturity that means that now’s the time to get involved,
Mike Richards: and if people still need a decent translator and someone that can be their guide, they should reach out to you and you’re there to help them.
Mike Richards: Absolutely. Thank you, sir. Thanks very much. Thanks, Mike. Today’s episode of the Treasury Career Corner was brought to you with the support of our partners ICD. If you are looking for a smarter way to manage your short-term investments, ICDs independent portal gives you access to a full range of investment products, integrated analytics, and a simple centralized platform built specifically for treasury.
Mike Richards: If you head over to treasury recruitment.com/partners, you can learn more and we’ll be able to connect you with the right person at ICD for both you and your business. Many thanks for listening to the show and thanks for your continued support.
- Start small: Focus on automating one repetitive task instead of overhauling your entire tech stack.
- Real results: AI and automation reduced one company’s weekly forecasting work from 40 hours to just 3.
- No need for code expertise: Tools like GPT can generate usable Python scripts to solve treasury problems.
- Collaboration wins: The best treasury tech projects are cross-functional and team-based.
- Barriers are falling: AI has reached a maturity level where most treasury teams can and should get started.
🎧 Earn CTP & FPAC Credits by Listening to the Podcast
Whether you’re at the gym, on your commute, or walking the dog – you can now make your podcast time count toward your professional development.
We’re thrilled to share that Treasury Career Corner podcast episodes now qualify for CTP and FPAC recertification credits through the AFP’s Independent Study category.
How It Works:
- Each episode comes with a short multiple-choice quiz
- Score 80% or higher and you’ll receive your credit confirmation
- You track and submit your credits to AFP directly – nice and simple
➡️ The longer the episode, the more credits you can earn:
- 30-minute episode = 0.6 credits
- 45-minute episode = 0.9 credits
- 60-minute episode = 1.2 credits
No filler. No fluff. Just real conversations with top treasury leaders on strategy, leadership, risk, tech, and team building - everything AFP expects at an intermediate to advanced level.
🧠 Quick Facts:
- 📝 Quizzes are 8–10 multiple choice questions
- 🎯 You need to get at least 80% to pass
- 📨 We’ll send confirmation - you log the credit with AFP
- 💼 You can include this as part of your recertification record
NOTE: In line with AFP compliance requirements, no more than two quizzes may be completed per day.