Name: The Modern CFO Playbook
Uploaded: 2026-03-19T16:30:07.014Z
Duration: 48 min 50 s
Description: The Modern CFO Playbook

Transcript for "The Modern CFO Playbook": Hello, everyone. I see some folks starting to trickle in already. Good morning to those joining us. I hope everybody's been having a good week so far. We're just gonna give everybody a small chance here to join us as we filter in. Great. And still see that count going up, so we'll give it just just a couple more seconds, and then we'll go ahead and get started here. I love all the engagement in the chat already. It's great to see everybody. And with that, we'll go ahead and get started. So hello, everybody. Thank you for joining us today for our webinar, AI powered finance, the modern CFO's playbook for confidence and agility. My name is Taylor Dekorte. I am on the North American events team here at Emburse and your host for today's webinar. Just a few housekeeping items before we get started. This session is being recorded. A copy of the recording will be emailed to you twenty four hours after the event ends. To the right, you'll find the engagement section, which I see most of you have already found. In this section here, you'll have access to the chat. This is a great place to message and engage with fellow attendees. You'll also find the docs tab. This is an awesome place to see a list of curated resources, applicable to you as our audience here and today's session topics, as well as the q and a tab. If you have questions for our guest speaker today, please put them in the q and a tab. We wanna make sure that they get entered there and not in the chat so that they don't get lost. We do have time reserved at the end of today's call to go over questions. This webinar is also eligible for one CPE credit. In order to qualify, you will need to stay for the full duration of today's event and participate in the three poll questions scattered throughout the webinar. We will as we get to the polls, you'll also see that poll tab pop up in that engagement section as well, but we'll speak to that once we get there. And with that, I'm gonna go ahead and invite our speaker to join me on stage here. Today, I am pleased to introduce our speaker, Amit Kakar, controller of and VP of accounting here at Emburse. Thanks, And. with that yeah. Hey. Good morning, everyone. Just wanted to thank everyone for joining. Looking forward to this conversation and, you know, really excited to be here. Just one second here. Alright. So just getting familiar with the, the software here. Apologize for this. Anyways, it's great to, really have so many finance leaders and professionals here with us. I'm really glad to be part of the conversation. Today, I want to talk about something that's top of mind near for nearly every finance organization right now, and that's how we create confidence in an environment that's increasingly unpredictable. Over the past several years, finance teams have had to navigate tremendous amount of change. We've experienced economic volatility, rapid shifts in business conditions, ongoing regulatory complexity, and increasing pressures to operate more efficiently and transparently. At the same time, we're also seeing the most significant or tremendous shift in technology, and that's transformation transformation decades, basically, as a result as a rise of artificial intelligence. There's certain certainly a lot of discussions around AI right now, but today's conversation is really not about AI as a buzzword, but more so as about how can we leverage it in the financial realm more practically. For several years, AI in finance was largely treated as a tool. Organizations experiment with automation, machine learning, or predictive analytics in small pockets of the finance function. Maybe it helped automate, say, data entry or categorized transactions or identified anomalies, but those capabilities were usually leveraged on top of existing processes. What we're really seeing now is a much bigger shift. AI is moving from being a tool to becoming part of our infrastructure. Last year, many organizations were experimenting with AI. This year, AI is becoming operational. Finance teams are moving well beyond dashboards that simply report what happened in the past. Instead, we're adopting systems that actively support decision making in real time. Those systems do not just detect issues, but increasingly, they're helping prevent problems before they occur. And in some cases, they can even resolve issues automatically. That shift from being reactive to reporting intelligent sorry. That shift from being reactive reporting to intelligent financial infrastructure, I believe, is gonna be one of the most significant changes happening in finance today. As this shift happens, the role of finance leadership evolves as well. Historically, controllers, CFOs, and other senior finance leaders were often viewed primarily as as stewards of financial reporting. Today, that expectation placed on finance leaders is much broader and ever evolving. Boards, executive teams, investors are asking finance leaders to provide clarity in environments that are inherently uncertain. And to that effect, finance leaders increasingly need to think like architects of finance systems. That means designing finance systems that gate that generate insight, guide decisions, and support execution across the organization. Finance leaders today are not just responsible for for financial data. They're responsible for building the intelligent layer that helps the business operate effectively. And that's gonna be a meaningful shift. It it moves finance from being just a gatekeeper to being an actual orchestrator. And it means the quality of finance systems now has the direct impact on the quality of the business decisions. Alright. Back to Taylor for a question. Yeah. Let we're gonna go ahead and open up our first poll question here. So I'm gonna go ahead and get that started. You will see a poll tab now next to the chat where you can submit your responses. Our first poll question for today is around how would you describe your current finance operating model model? Is that gonna be mostly reactive with issues caught after submit submission, mixed with some preventive controls already in place, largely proactive, most issues prevented upstream, or highly automated with embedded intelligence? And I'm also gonna share the results as those are coming in. Looks like we are leading with mixed, some preventative controls in place. Seems to be taking quite the lead here. And, Amit, being in a finance role yourself, would you say that this is pretty standard for a lot of organizations? Yeah. I think preventative is the key of our discussion today and how we can actually, you know, revamp our workflow so that, you know, we leverage AI at the beginning of workflows and make that preventative. Because in today's environment, we're we're more along along the lines as detective controls. We're kind of at the back end of the process, so preventative is 100%, what I'm seeing in this landscape now. Absolutely. Yeah. I don't think this is too surprising, for what we were expecting, but definitely good, to know that it aligns with today's conversation. And with that, I'm gonna go ahead, and say we have about ten more seconds to get your responses in. Do keep in mind that you will have to engage with all poll questions in order to earn that CPE credit. So if you haven't gotten that response in, be sure to do so quickly because I am gonna close this out here in five, four, three. Start the countdown. Alright. And with that, folks, I'm gonna go ahead and turn it back over to Amit to continue our session. Perfect. Thank you, Taylor. So one one of the reasons this transformation matters so much right now is that volatility has become the default operating environment. Finance teams are navigating not only cost volatility, regulatory changes, talent pressures, and an increasingly rapid decision cycle. At the same time, the pace of business is accelerating. Organizations are expected to make decisions faster, respond to market changes more quickly, and operate with greater efficiency than ever before. In this kind of environment, confidence does not come from predicting the future perfectly because the reality is none of us can really do that. Instead, confidence comes from having clarity in the present moment. Clarity about cost management, clarity about clarity about, cost management, clarity about cash, and clarity about clarity clarity about risk management, as well as clarity about what's happening across the business in real time. When finance leaders have that level of visibility, they can guide the organization with with much greater confidence. When we think about finance performance, there are five core levers that every finance team manages every day. Those levers are revenue, cost, capital, risk, and efficiency. The challenge, however, is that these layers are so interconnected. If you optimize one layer in isolation, it actually deep it it it creates fragility elsewhere. So reducing as an example, if you reduce costs, it could reduce it could increase operational risk. If you accelerate revenue, you might create a working capital issue. If you're improving efficiency, you might reduce flexibility. So because these layers are so interconnected, finance leaders need systems that help them understand how changes in one area affect the broader financial ecosystem. And that's exactly where AI powered financial systems begin to change the the equation. The real value of AI doesn't come from just automating a single workflow. It comes from embedding intelligence across the finance system so that these levers remain balanced and aligned. And and and, truly, it it is a challenge, and and that's the true value of AI, what really comes into fact. Another challenge many finance organizers face today is that many finance processes are still built around inspection rather than insight. Think about many workflows that involve manual review. In in many organizations today, you can think of a handful right off the bat. Like, reports are reviewed manually. Invoices are reviewed manually. Policy compliances are being reviewed. Documentations are being verified. In many organizations, something as simple as an expense report actually can go past three or four different people before it's final finalized. And that doesn't necessarily create any added strategic value. But because the process requires manual inspection, it raises an important question. How much time is our finance teams, you know, spending correcting errors that could have prevented early in the process? Because if the air layer if the AI is layered on top of a broken workflow, you don't create efficiency. You just simply automate inefficiencies. The real opportunity is to rethink so the intelligence is applied earlier. Reactive financial processes tend to create three consistent problems. As per the slide, friction, delay, and exposure. Errors are caught late, verifications become manual, and corrections happen after submission. And finance professional professionals spend valuable time reviewing transactions that follow predictable rules. In many organizations, approximately 85% of finance re review work is based on rules. That raises a simple but important question. If most of the tasks follow predictable rules, why are highly trained finance professionals still spending their time performing them? And, again, this is exactly where AI powered system can create enormous value. Alright. Back to you, Taylor, for another poll question. I can't hear you, Taylor. I'm not sure. I was muted. Where thank you. This time, we wanna hear from our audience, where does reactive friction show up most in your organization? So we've provided some options for you to choose from here. First option is gonna be expense review and policy enforcement, followed by invoice validation and approvals, payment processing and reconciliation, or reporting and variance investigation. And I'm gonna go ahead and open up that poll for you all. So you should see that poll tab again next to the chat. And I'm also gonna give my spiel and remind you all that in order to earn that CPE credit, you do need to participate in all three polls. Go ahead and get those answers in. I do see some coming in, so I'll go ahead and share those responses. It looks like, the majority here are saying in the expense review enforcement phase. I think that's also pretty predictable if if I'm not mistaken. What what are your thoughts on the responses here, Amit? Yeah. No. And it's exactly it's exactly where our software comes into play. Exactly. We've got a good audience for for what we do. Absolutely. And, hopefully, you all, will find this information helpful today. Hopefully, we can help address some of these. It does look like invoice validation and approvals and reporting and variance investigation are also are. also. kinda think up there. So yeah. yeah. Yeah. I think there's no real. right answer here. I think they're all. significantly important. And as we carry on in the in the conversation today, we'll we'll sort of touch on how these can all come together and and, be resolved. But they're all they all are are, in fact, friction points for sure. Yeah. And as some people are pointing out in the chat, a and d are sometimes linked. Some people are also saying all of the above. Mhmm. So next. time, I will have to edit this poll so that we have an all of the above option or make it multiple choice, it sounds like. Yeah. That's a great color. Yep. Yeah. We appreciate feedback like that. We're gonna go ahead and close this one out though so that we can move on. Alright. Thanks for taking care of that, Taylor. Let's go. on to the, slide deck here. Okay. So just going back to why this all matters. Basically, when we think about organizations that are shifting away from reactive oversight, we're basically spending and intending to spend more focus on reviewing and correcting transactions after they happen. That's currently what's happening today. There and then what we need to do be is adopt systems that guide behavior earlier in the workflow. So instead of correcting problems after submissions, systems are now helping employees submit compliant transactions upfront and from the beginning. So this approach reduces the friction for employees and improves governance for finance and increases operational efficiency. It also changes the role of finance. Finance spends less time policying and policing the process and more time improving it. When we look at at spend management through the lens of AI, we can think about the workflow in four stages, detective, preventative, optimization, and execution. Historically, finance teams focus heavily on detection, auditing transactions after payment, identifying anomalies after the fact. But the real opportunity lies in moving intelligence earlier in the process. When systems guide employees before submissions, the workflow becomes even more smoother. And this is kind of what we touched upon during the poll question. For example, an employee that's submitting an expense can be prompted in real time that a receipt is missing or the expense is at a policy. So, again, instead of having that event take place at the detective end, say, within our in one's AP function, you know, post submission, we're now front loading that. And so the software itself is in real time directing the employee that the expense report is missing some item or noncompliant with their policies. And this allows them to take that corrective action before it reaches finance. Finance teams, therefore, then spend less time reviewing transactions and more time focusing on strategic priorities. And this is where the real value starts to show up and begin. The framework becomes even more powerful when you when you look at the full life cycle of financial activity. At the beginning of the process, systems can see, they capture, and interpret financial financial activity as it occurs. They can then guide us, and they help employees submit compliant spend in real time. And next, they optimize. They identify patterns, anomalies, and risk signals across the organization, and finally, they execute. And this is where the payments and financial statement sorry, financial settlement prop become part of the same intelligent workflow. What makes this powerful is that finance is no longer operating in a separate disconnected steps. Instead, the workflow becomes continuous, governed, and more intelligent from the beginning to the end. Another area where we're seeing significant transformation is is actually in payments as well. In many organizations today, outbound payments remain fragmented. Vendor payments may exist in one system, employee reimbursements in another, and then banking portal portals exist elsewhere. And finance teams often reconciling these activities only after money has already left the the business. So what we're seeing now is the emergence of a more unified model. In this model, payment execution happens within the same governed workflow that validated, coded, and approved the spend in the first place. This would create stronger governance before the funds leave the organization. It provides greater visibility to cash flow and cash management as well as payment statuses. It also simplifies the operational experience for both finance teams and employees. But the key point here is that payments should no longer be separate from spend management. In fact, unified payment execution directly enables cash flow predictability and and true visibility of working capital. And that assets, they're integral parts of the intelligent financial infrastructure. As AI capabilities continue to evolve, we're seeing progression from insight to guidance to execution. Initially, AI systems focused on insights. They helped us identify anomalies, surface trends, and highlight risks. These systems have now evolved to providing guidance. They can rec they can now recommend coding, flag exceptions, and support approval workflows. But the most significant transformation happens when AI moves into execution. When systems don't just flag issues, they help resolve them. At this stage, finance systems begin to function as an intelligent infrastructure, and that's where the conversation around AI becomes even more practical and even more valuable to finance teams. It's important to emphasize that AI does not replace finance professionals. Instead, it allows them to focus on more value added work and work that matters most. AI handles the rule based tasks, the repetitive verification work, the inspection layer of financial operations. This work often represents around 85% of the operational activity. The remaining 50 15% is the complex decisions, the strategic trade offs, the new nuance judgment, and this all these all kind of activities remain human in the human hands. And that's exactly where finance professionals create the most value. As such, the goal is not to remove people from finance. The goal is to remove low value, manual run date redundant tasks that people can spend more time on analysis, partnership, and decision making. Alright. Taylor, it looks like we got another poll question. Back to you. Perfect. Yes. This is gonna be our last poll question here, guys. So, if you could automate one area first without increasing risk, where would you start? Would you start in the pre submission compliance and error prevention? What anomaly and duplicate detection, intelligent payment execution, or real time spending cash cash visibility. And with that, you should all see that poll question open now as well. Again, you can find that next to the chat. And this is the last one, so get those votes in in order to get that CPE credit. Amit, I'm curious. If you could automate one of these, where would you start? I think at the end the day, like like the other poll questions, they seem to be equally important. But I think, again, presubmission compliance and error prevention upfront is is somewhere where I would probably focus, so probably a. Perfect. And, actually, that allows me to transition into sharing here because that is what the majority of our audience is saying as well. That totally makes sense. Yep. And I while we're on this, Amit, based on your role, do you would you have any tips for where someone could get started in automating in that step? Yeah. Like, I I think perfect example is kind of what we've talked about in this conversation already is is around, employee expense reimbursement. And and so we can provide AI the the rules within our organization. And a lot of those rules are pretty standard and, you know, just in terms of compliance with those rules of part of our TNE policies. AI can then automate, you know, an an an employee's expense report and flag issues for us, anomalies for us, fairly simply and fairly easily and take away that detective, control later in the process post submission right up front and make sure that the submission is compliant and, you know, non error prone up front. Absolutely. So otherwise because otherwise, what happens is it it it falls afloat when you're missing a receipt. It takes it goes through three, four approvals potentially, and then it ends up in the hands of AP, let's say. And they, you know, from the detective perspective, find that missing receipt and then have to send it all the way back to the workflow, and then it has to reignite reignite again. Just creates, inefficiencies. Nope. Perfect. And we'll make sure to give everybody time here to fill out this poll question, so they can earn that credit. But I do see we're slowing that down, so I'll go ahead and close that here shortly. Yeah. And I'll just add that some of the stuff that we do at the beginning of the workflow, such as what I spoke about, does then trickle down and create the real time spend and cash visibility and and other, ancillary benefits. And this is why we bring on the smart people who have all the experience so they can give awesome tips like that. Perfect. Alright. I'm a I'm gonna go ahead and turn it back to you to carry on with today's session. Alright. Perfect. Thank you. So, yeah, so when finance systems become AI powered, as we've talked about, several important outcomes emerge. Data becomes much cleaner, operational risks decrease, Financial cycles tend to accelerate, and forecasting becomes stronger. Visibility into working capital will improve. In practical terms, this means less friction for employees, stronger governance and controls, and faster insights for leadership teams. Those are meaningful outcomes, and they matter not just because they make finance more efficient, but the but because they they make the whole organization more responsive and more resilient. For organizations looking to modernize finance, this is the modern CFO playbook. There are six shifts to focus on. Shift controls early in the workflow, as we spoke about in this conversation so far, making spend visible in real time, automating routine tasks, embed intelligence into payment execution, elevate human judgment, and build finance systems that are adaptive rather than reactive. If you apply these shifts intentionally, you move from reactive oversight to an engineered confidence. One one exercise I highly recommend to every finance leader or professional on this call today is that which is fairly simple, is is audit your reactivity. Ask yourself, where are errors being corrected after the fact in my organization today? Where is execution still manual? Where is visibility still being delayed and nontransparent? And where are highly trained professionals still performing clerical tasks? And very often, when you ask yourself these questions, those will represent the greatest opportunities for improvement and even some low hanging fruit that can be quickly rectified. And that's where exactly where AI powered finance begins. Alright. So I'll leave you this with this one last thought. Confidence is engineered, agility is designed, and AI is most powerful when embedded directly into the systems that run financial systems and operations. The future of finance is not more oversight. It's actually better systems. Thank you again for joining. Appreciate everyone being here this morning. Thank you, Amit. Yeah. We wanna, set aside some time for questions, but also wanted to take this time to discuss with you since since you're in this role and, are up here with a lot of our audience here. Would love to get your, your take on some things. So I'm gonna actually go ahead and kick us off with a question if you don't mind. I'd love to learn from you and your role, and your experience in finance. You you've seen how the shift, in finance has happened over the years to especially with the addition of AI, and how that's impact a lot of what we're doing here specifically at Inverse. Curious what has stood out to you about how modern finance teams are approaching AI differently, in these recent years? I think, what what's really surprisingly beneficial is adoption. Seeing the transformation and folks seeing the benefits of AI and and actually adopting it, I think, is is is, transformative for sure. There was a lot of hesitation at the beginning, a lot of concerns, but now we're really seeing the fruits of it come to fruition as as folks see the benefits as as AI is evolving itself. Absolutely. Yeah. When we have AI conversations, which we've been doing more and more like everybody else, one of the biggest things we we emphasize is just get started. Right? So what would you say to those that are maybe hesitant to adopt? I I I'd say that there's only there's only benefits here. I don't see any any negative outcomes. I think it's it's all in the view of positive. And if we don't modernize our finance teams, we get left behind, and and we become inefficient as whereas other organizations in your competitive landscape will adopt, will become modern, and more efficient, meaning that they're you know, they can control their margins better, and and as such, and become more competitive on pricing, as an example, and their product in the competitive landscape versus you being left behind on that notion. And, Amit, I I'm gonna put you on the spot a little bit here because I know you're you're newer to the company. But what are some things that stood out to you that Imburse is doing really well or that you're excited about, from someone in the finance role? Sorry, Taylor. I missed the the first part. What what. what am I about? That's my bad. I think I just got a note saying my mic might be cutting out a little bit there, so I apologize if that's the case. But I wanted to ask you as someone new to Emburse and and in a financial role who shares a lot of, responsibilities as our our audience here. I'm curious if there's anything that stood out to you about what Emburse is doing or, how we, or any new, features or things that Emburse has to offer, that get you excited. Yeah. Yeah. I think our our introduction and, again, I appreciate that. I've only been here just over a month or so, but just having a a broad lens of the assurance module that we just launched is is, I think, changing the landscape for sure and and has accelerated us well above the competition. And that assurance module is kind of what we touched on earlier is how it's it's creating preventative actions upfront prior to T and E and expense reimbursement submissions, you know, flagging anomalies, flagging, and and just detecting potential errors, in advance of it going through the the cycle the workflow cycle. Absolutely. Yeah. I I will say, one of the things that I'm excited about, for our audience here, if you haven't heard, we just announced Emburse pay, I think, on March 10, so very recent. So if you're interested in learning about the newest features coming to the Emburse intelligence suite and seeing what how we're further utilizing AI within the Emburse platform, definitely check out, those resources in the docs tab. We've we've put the latest announcement, so you can see all the newest things that we're up to. And I'm gonna go ahead and I do see some questions coming in here, so I'm just gonna take a moment to read through these. Going back to the AI conversation a little bit here, we have a question around people are jumping in and out of the AI solutions bandwagon, but forget that the solution might not work a 100% since there could be exceptions that might need manual intervention. How do you find a middle ground in implementing AI within their finance process? Yeah. And Amit, I think I right. actually, Amit, before I turn that over to you, can I do you mind if I speak. to that a. little bit? Please. Please. Go ahead. I've done a couple of these conversations now, so I'm by no means the expert. But, one of the things that we really preach at Emburse is that AI is not the end all solution. You are absolutely going to still have manual intervention in places, and we recommend that. AI is used as a tool to support your efforts to make the workload a little easier, but it's meant to be worked with the people in those positions, and to help support them. So manual intervention is not is not necessarily a bad thing. But Amit, I'll let you give your two your two cents on that too. I know that's a great response, Taylor. I I think I would just add that what what I'm seeing is that and what's not working necessarily well is that folks are trying to do too much too fast and all at once. So when you're implementing AI, let's let's chunk it out a little bit, start with some low hanging fruit, and then evolve to to more processes. And it goes back to the earlier conversation around, you know, let's let's think about where in our organization is redundant tasks happening, things that are clerical, things that are rule based, things that are manual, and and and start with those and just chunk those out in smaller pieces and then implement AI that way. And and, of course, it's not never gonna be 100% perfect, and we always need that human touch to to help, augment that implementation of AI. Perfect. Thank you. And I'm gonna go back to an earlier slide here where we talked about the six shifts that we really are trying to emphasize, and I think I'm actually one slide ahead. The six shifts that we are trying to emphasize as, your best practices in a CFO role. Curious here, Amit, from your perspective, where do if we're looking at these six shifts, where do you typically see the fastest impact when teams get are getting started? Where do I see the fastest shift? Yeah. Again, it's it's it's the shift in having matters sort of at the become at the beginning of the workflow. Like, the more that we can have our processes shifted to be embedded at the beginning of the workflow versus being detected at the end of the workflow, that's where I think we're getting the best bang for a buck. And when we're talking about shifting controls earlier in the process, what's one change that tends to unlock the most value right away? It's a it's gonna be a cheap plug, but it's gonna be our software. It's gonna it's gonna really be, at least for for my myself, what I've seen as a as a move from organization to organization, and the difference maker that that here at Inverse is that, preventive nature of our control and and the embedded AI, specifically in this the new module of of Assurance, the Assurance Suite, if you will. I love that. And I promise you guys I was not teeing him up for that answer. So as somebody newer to the company, I love that that was your response. Some more questions here that we can go into. From a controller's perspective, how does re reducing reactive work actually show up day to day and and what changes for the team? Yeah. I think I really just a lot of a lot of our highly financed individuals are working on stuff that could be mundane, redundant, and clerical in nature. And I think just freeing them up and leveraging their true skills and and allowing them to flourish from a little bit more and allow them to provide us with more insights, to our professional leaders. So if you think about someone that may be an an an SFA, a senior financial analyst, or a manager, just being able to take them out of the weeds a little bit by introducing some of these tasks that, having AI do some of these tasks that are redundant and mundane allows them to then facilitate their eyes and ears into something that's more strategic and value added to the organization. Alright. And we do have a question here, a rep a more product focus around what ERPs does Emburse have experience integrating into. So I will say, I don't think Amit or I, I think, are are can answer the the, that question with the full list. I do know that we implement or that we integrate with several ERPs. If there's one in particular that you're looking for, I would definitely recommend using that request a follow-up link, and we can definitely reach out to you and get you that link or speak to you about your specific solutions and and what you're looking to integrate with. Yeah. I I can speak to to a a couple right off the bat. Like, I know we have a Sage connector, so we definitely leverage Sage, NetSuite for sure. So some of the the larger institutional ERPs are definitely in our wheelhouse. And that's just to name a few. But to Taylor's point, I don't have the full suite, but but, definitely, we we we can plug and play with a lot of these ERPs. Perfect. Thanks, Amit. Yeah. I know that it there's an extensive list there. So if there's one that you're curious about, we can definitely connect with you after, and we'll get you that information. But going through some more questions. And I'm gonna I'm gonna toss this one over to you. But if you if we need to expand on this outside the call, any questions that get brought up today, guys, that we can't answer, we will be sure to reach out after the after the call here. But, Amit, hopefully, you can you can answer this one. We have someone asking to actually leverage AI. Are you seeing a lot of companies moving to newer platforms that allow for a fresh start with GL build out and database structure to really help streamline finance and accounting? Yeah. I think that's a little bit of a a loaded question because it it really depends on how defragmented your finance ecology or systems are. But if if generally speaking, I I don't think so. Like, I think you can you can plug and play certain softwares fairly straightforward without having to rebuild everything out in the old database structure. So it just depends on each organization and how defragmented they are. In some cases, yes, the answer may be may need to go a little bit more holistic, but in certain instances, you can easily plug and play. And then our, tool, Amit. again again, our tool in Versus is an opportunity where you can just simply plug and play. Absolutely. And speaking of, that plug and play, we do have, one of our solutions consultants in the chat here. Gregory has provided some additional context into our last into our last question. And has said that the Emburse architecture is designed to be agnostic to work with any ERP. So hopefully, that answers our our attendees last question there. Perfect. Thank you, Gregory. Appreciate it. Perfect. And I think we have time here for for maybe one one or two more questions. So just to scan through these real quick. I always I always like to ask a closing question as as I'm kind of wrapping these up, where I like to ask our speakers based off of the conversation today, if you could give one piece of advice on where to get started. I'll I'll specify a little bit for you, Amit. If you could give one piece of advice, for where a CFO or controller, can start with moving from a reactive pro to a proactive system, where would you tell them to to start? Yeah. Like, I I think from my perspective, it's it's gonna be spend management, for sure. I think that's the easiest one, the lowest hanging fruit in any organization. Simple adoption. It's it it's not time. It's it's it doesn't take a lot of time, so that sensitivity of time is not there. You know, thirty, sixty days depending on how, you know, global your organization is. We something like Inverse can easily come in and and and simplify, your your spend management, workflows and, adopt AI to to to smooth line some of the work that may be done in within your organization from internal controls perspective, internal audit perspective, as well as your levered sort of takeaway redundant tasks that your AP team may be deemed doing today. Perfect. And I think that's actually a great place for us to stop here. I before we let everybody go, I do have a couple of callouts. So we have officially announced our April webinar. We are doing a rep we're doing our next webinar around AP invoice best practices, and we're very excited to be featuring a analyst expert from Ardent Partners on that webinar. So if you wanna hear about some of the leading trends and best practices around AP and invoicing, definitely check out that webinar. I've added the link to register in the docs tab as well. And for those folks that are a part of our webinar subscription program, you will automatically be enrolled in that webinar. So if you are not a part of our webinar subscription program, Inverse has launched a cool new program this year where if you do a one time subscription, we will automatically enroll you in all of our thought leadership webinars for the year. We'll also be sure to notify you of any upcoming webinars or additional partner and industry specific webinars that you may want to be a part of. So one time, sign up and you get access to all of them without even having to think about it. So if you're interested in joining that subscription program, that link is in the docs tab as well. And my last plug for today is if you have not joined or if you have not registered for Emburse in Motion, it is not too late. For those that are that don't know, Emburse in Motion is our annual customer conference, where we talk about the future of Emburse and best practices within the industry and allow you to connect with your peers. So don't miss out on that opportunity. This year is in New Orleans, which you'll I'm personally very excited about. And if you haven't registered already, be sure to do so. And with that, I just wanna say thank you to everyone for your time today. If we didn't get to your questions, we'll be sure to reach out. And as far as getting you that CPE credit goes, for those that, that credit applies to, we will go ahead and reach out here early next week with those certifications for you. So keep an eye on your email for those. But once again, I just wanna say thank you everybody, and thank you Amit for speaking for us today and delivering some awesome content. We appreciate everybody's time. Thank you. Thank you.