James Rowell

Approving expenses should be simple, yet most teams still battle manual, time‑heavy workflows. AI finally changes that—reviewing spend in real time, enforcing policy and flagging exceptions instantly. 

Even with expense management software in place, your approvals often rely on multiple layers of review, and too much still depends on human intervention. 

That’s where AI is starting to change things. It’s no longer just about automating data entry—it’s helping finance teams make faster, smarter decisions by reviewing spend in real time, applying policy rules, and flagging anything that needs attention. 

In this article, we’ll break down where manual processes are slowing your approvals down, and how AI can support better, more efficient financial decision-making—starting with expense approvals. 

The problem with traditional expense approval workflows 

Too much manual work 

In most businesses, an expense claim goes through several people before it’s approved. A line manager might review it first, then it’s passed to a department head, and finally to the finance team. Each step adds time. Each person has to read the details, check the receipt, and make sure it fits your company’s expense policy. 

But often, your line managers don’t feel confident rejecting expenses—especially when they work closely with the claimant. This means some claims get approved that shouldn’t be. Then finance teams have to step in, double-check everything, and fix mistakes. The more people involved, the more opportunities there are for delays and errors. 

Slow and expensive processes 

All this checking and re-checking adds up. If you’re a bigger organisation, it can mean an abundance of hours spent on manual tasks that could easily be handled by the right tools. Software alone isn’t solving the problem, because most systems still rely on people to do the hard work. 

Why expense approvals need to change 

Digital submissions may have replaced paper forms, but the workflow itself hasn’t improved much. Which begs the question: what can AI actually help us do in finance? With platforms that can be trained to think the way we do, there’s so much opportunity to truly change expenses and finance for better. Here are just a few ways: 

AI for faster financial decision making 

• Spot trends and overspending early 
• Suggest actions based on previous activity 
• Improve over time as the model learns from past claims 

Handling checks before they hit accounting 

One of the next big steps for AI is handling checks before expenses move into accounting systems. Right now, many teams still: 

• Manually check categories, 
• Confirm VAT is correct, 
• Review how costs are split. 

AI will be able to handle much more of this. It means fewer manual reviews and more time saved. With the right setup, AI doesn’t just support finance—it becomes a key part of how decisions are made. 

Staying ahead of AI in finance with Capture Expense 

We’re trying to do things differently—different, but better. 

We’ve built tools like Smart Audit and Finance Copilot to reduce manual checks and help your finance team move faster. 

These tools check expenses automatically and apply your policy rules instantly. It means fewer approvals to chase, quicker decisions, and more time for finance teams to focus on work that adds value. 

Replacing manual expense approvals with Smart Audit 

Smart Audit is our AI tool that takes over where traditional approval workflows slow down. 

It reviews expenses in real-time, based on your company policies. It reads the data, checks the rules, and decides whether the claim can go ahead—all without someone having to step in. It can: 

• Review and categorise expenses instantly 
• Check for policy compliance 
• Flag anything unusual 
• Follow up with employees if information is missing 

Instant, conversational reporting with Finance Copilot 

Pulling reports shouldn’t be a slow or technical task. But most tools make it harder than it needs to be. 

Our Finance Copilot is built to fix that. 

Instead of clicking through menus, dashboards, and filters, just type a question: 

• “What did we spend most on last month?” 
• “How much mileage has been claimed this year?” 
• “Show me expenses by department.” 

Finance Copilot understands what you’re asking and gives you a clear answer. Whether it’s a table or a chart, the output is simple and ready to use.  

Why it’s time to get ahead 

If everything we’ve discussed resonates with you, you probably already know that: 

• Manual approvals no longer keep up 
• AI-led teams are making faster decisions 
• The gap between early adopters and those failing to adopt AI is growing 

If you’re still relying on manual processes, now’s the time to rethink how you manage expenses. 

AI is already the new standard, and it’s changing how finance teams operate. As the technology continues to mature at the rate it is, businesses that fail to embrace AI will struggle to compete with those that use it for financial intelligence and decision making. 

At Capture Expense, we’re prioritising our product velocity so we’re constantly developing new features led by the latest in AI.  

We’d love to show you our latest functionality; let’s book a demo. 

Managing expenses across multiple countries is complicated. Most systems aren’t built to handle the differences between regions, relying on rigid rules that need constant updates and failing to properly support multiple languages.  

AI is changing that. At Capture Expense, we’ve explored how generative AI can take on some of the biggest challenges in global expense management; and we’ve built features that remove unnecessary steps and make it easier for teams to submit expenses. But AI still has its limits—especially when it comes to compliance, and even more so for compliance across multiple countries. 

So, we’re going to look at what all that means, and explain in the simplest terms where AI can and can’t help your global expense management. 

Why businesses struggle managing expense compliance and localisation

There’s no doubt that managing expenses across multiple countries is hard work; global businesses have to face different tax rules, per diem rates, and reimbursement policies (to name a few) across countries. And without the right systems in place, it’s extremely difficult to keep up—risking errors, delays, and non-compliance. Here’s why expense management systems typically struggle: 

Hard-coded rules 

Expense management systems typically rely on hard-coded rules, meaning they have to be manually updated every time regulations change. This is inflexible and difficult to maintain, which is why a lot of SaaS providers struggle to support multiregional teams in such heavily-regulated areas of a business. 

Language translations 

Then there’s language barriers, which usually rely on basic translations that happen directly in the systems interface. This means they might struggle to truly adapt to different languages, leaving employees struggling to properly understand the expenses process. 

How AI solves the multi-language problem

As we mentioned, many systems rely on translations directly in the interface, which also means that users rely on the provider to make each individual language available. That can leave employees struggling to submit their expenses correctly if the app doesn’t support a language they’re fluent in—ultimately leading to more unnecessary barriers in the expenses process. 

But when we use AI as the core method of raising expenses, things change. We’re building a process that allows your teams to raise expenses in the apps they already use every day, without having to go into an expenses system. Here’s how that works: 

1. Integrating with everyday messaging apps: We’re plugged into apps like WhatsApp, Teams, and Slack, so your teams can submit their receipts and raise expenses via a quick text and never have to open Capture Expense. 
2. Embedding conversational AI: The bridge between messaging apps and Capture Expense is conversational AI (like ChatGPT) so your users can use natural language to raise their expenses and access instant support for any of their questions. 
3. Automatic translations: No matter what language your users speak in to submit their expenses and ask questions, the AI will reply in that language. If an employee submits an expense in French, for example, the AI understands the input and responds in French. 
4. No manual programming: It adapts instantly to whoever is speaking to it, without having to build individual languages into the interface. They’re already there and ready to use, giving way more flexibility and accessibility. 
5. Natural interactions: Because of the nature of conversational AI, users can interact in normal text-messaging style. There’s no need for structured responses or form submissions—just speaking like they usually would in a message. 

AI’s limitations in global expense compliance

While AI excels at user interaction and real-time translations, there’s still a lot of complexity involved for global regulatory compliance. It may be able to interpret tax rules, categorise expenses, and flag potential compliance issues, but global tax laws are extremely complex and changing frequently, and so human judgement will still play a large role. Here’s how it can and can’t help: 

Why AI can’t automate global expense compliance 

Ultimately, the compliance rules (like VAT rates, per diem, reimbursement policies) would need to be manually set at the platform level for the AI to then recognise whether expenses are compliant. 

That’s because AI isn’t inherently aware of regional tax laws and needs pre-defined guidelines to work effectively. Simply put, AI can only apply the rules—it can’t create them. 

How AI can support global expense compliance 

Once the correct rules are in place, AI can automate compliance moving forward (but ongoing human oversight will still be needed). It can interpret the policies in place (both global compliance legislation and your own company policies) so it can identify things like the correct VAT or GST rate depending on the location of the expense, or automatically assign an accounting category to expenses based on data automatically pulled from receipts. 

While there’s still some manual setup at the start, AI makes it far easier to stay on top of compliance once those rules are in place. Finance teams can start to rely on AI to catch issues early, reduce errors, and speed up approvals—instead of checking every expense manually. 

Overcoming international spend challenges with Capture Expense

AI can’t handle global compliance on its own, but it can certainly make things a lot easier. 

At Capture Expense, we’re committed to implementing AI at every stage of the process it can help. We’re constantly releasing new features, with our latest AI functionality including: 

• Everyday messaging apps: so your teams can submit expenses and access support through apps like Teams, Slack, and WhatsApp with a quick text. 
• Finance Copilot: so you can pull every and any insight you need in seconds, by simply telling your copilot what you need to know. 
• Category matching: so you can automatically apply categories and VAT to expenses without manual intervention. 
• Currency conversions: so no matter where your teams are spending money, it’ll be automatically converted and reimbursed in their base currency. 
• SmartAudit: so you can automate approval workflows by training AI to make real decisions based on your rules and policies. 

We know there’s a better way to manage global expenses, so we’re committed to building it. Get in touch to find out more about what we’re doing, and how it can work for you. 

As you’ll know, most businesses use software to manage expenses—SaaS platforms allowed us to move away from spreadsheets and paper to keep on top of reporting, compliance filing, and reimbursements.  

But software hasn’t solved all problems with the expense management process. There are still a number of challenges that even the biggest platforms haven’t solved, despite the tools being there to do so. 

And that’s likely because those tools don’t really change the typical processes, but simply add more steps and tools for people to use—causing more frustration than they solve. 

Now, thanks to the rise of generative AI, at Capture Expense we’re finding better ways to manage expenses and the finance workflows behind it every day. 

So, with that in mind, we’re going to walk through the problems with traditional expense management software and the challenges it’s yet to solve, along with the AI functionality we’ve developed to put a stop to those poor processes for good. 

The problem with traditional expenses software 

Too many apps and too many steps 

Most expense management tools require employees to install an app and learn how to use it. Since they don’t access these tools daily, they often struggle to complete actions because adoption just simply isn’t high enough.  

Expense reporting should be a quick and easy process, but instead, employees find themselves resetting passwords, manually entering data, and completing what they often think is unnecessary admin work. 

A disconnect in processes 

It’s likely businesses are also using multiple tools for different admin tasks across their expense management—like credit cards, invoices, and finance systems, with poor integration between them. The fragmented approach slows things down and increases errors as finance teams jump from system to system to complete tasks. Instead of reducing admin work as they should, the mix of systems are often adding to it. 

The wrong solutions 

And usually, people think the answer to this is more systems—more platforms to integrate, more things to make their process efficient. But all that’s doing is making workflows more cumbersome and adding more interfaces that aren’t intuitive enough to solve the real problem. 

Poor engagement 

And ultimately, our previous points lead us to here—little engagement with submitting expenses. People often delay raising their expenses until the last minute, ‘saving’ their receipts to submit everything in bulk. But in the meantime, that leads to receipts going missing, increased resistance to compliance, delayed reimbursements: and so the cycle continues every month. 

The user experience problem

We believe this is all down to one common thread—user experience. The expense process isn’t particularly enjoyable for anyone involved, whether it be finance teams, managers, or employees, and we think that’s because of: 

1. Inconvenience: users don’t see the process as a value-add. They’re expected to log into a separate system, enter their data, attach receipts, review and approve expenses, and complete multiple steps—so they procrastinate. 
2. Admin: submitting expenses isn’t part of a person’s main responsibilities, and it’s seen as just admin work that takes up time and resource. Especially when it’s with corporate cards, where there’s no urgency for a person to get their own money back. 
3. Outdated habits: there’s a large portion of spenders that save their receipts until they find the time to process everything in bulk because they don’t find it easy enough to submit at the point of transaction, adding extra friction and time to the process. 

So that leaves us wondering how we remove the barriers that the process has historically built, and improve the way everyone interacts with the expense management process. To do that, we have a few questions to answer: How do we remove unnecessary steps, make the most of new technology, and ultimately get people engaged with the process? 

A new approach: expense reporting in everyday apps 

With all of the above in mind, at Capture Expense we thought “what if expenses could be raised inside the tools that employees already use every day?”.  

By integrating with platforms like Microsoft Teams, WhatsApp, and Slack, expense submissions can happen in a way that every person is comfortable with—a quick text message, thanks to conversational AI. 

Removing the friction of standalone apps 

As we’ve mentioned, one of the biggest barriers in expenses is the need to install and learn a new system. Employees are historically reluctant to use these tools, leading to delays and disengagement. 

But by giving users the ability to submit expenses in apps they’re already comfortable with using in their day-to-day routines, that problem disappears. 

Removing the learning curve 

Whether users snap a photo in WhatsApp, send a message in Teams, or drop a receipt onto Slack, they simply have to open their app of choice and tell it what expense they need raising for the system to automatically process, without ever having to open the Capture Expense app. There’s no learning curve, because these tools are already second nature. 

Removing structured form entries 

Conversational AI removes the need for your teams to submit structured form entries to raise an expense—one of the biggest blockers in the process. Again, it’s one of these tasks seen as an admin burden, rather than essential, so we’re building a new approach that means finance still get their structured data, but users don’t have to submit it themselves. 

How does it work?

We’re using the conversational AI we’re all growing more familiar with—think tools like ChatGPT, Gemini, Claude—to link everyday messaging apps with Capture Expense. 

People can submit their expenses using photos or natural language via text message, talking just like they would in an everyday conversation. The AI processes the information instantly and syncs it with Capture expense, allowing them to raise all types of expenses and ask for more information without having to install and set up and additional expenses app. 

Here’s a quick overview of what you can do with the functionality: 

1. Send photos of receipts: to automatically extract the data and raise an expense for reimbursement. 
2. Create manual claims: for things such as mileage, by sending a message like “I drove from home to NE6 2HL yesterday, raise my mileage”. 
3. Access instant support: for help or guidance on the process by asking questions like “what am I still due to be reimbursed?”. 
4. Reduce back and forth for finance teams: by allowing AI to prompt your users when there’s data missing or tasks outstanding. 
5. Block out of policy spend: as the chat immediately lets your teams know if they’re trying to raise an expense that’s out of policy. 

Anywhere, anytime, any app 

Those of you familiar with SaaS will be familiar with the old ‘anywhere, anytime’ descriptor widely used to communicate the benefits of cloud software. But AI takes that one step further, making it ‘anywhere, anytime, any app’. 

AI is moving at incredible speed, and we’re committed to bringing the latest technology to Capture Expense as fast as we can. We’re proud to be the first to bring conversational AI to your users, and it’s not the only thing we’re working on. 

We also have your Finance Copilot for custom reporting in a manner of seconds, and SmartAudit to automate approval workflows by training AI to make real decisions based on your own rules and policies. 

We know there’s a better way to manage expenses, so we’re committed to building it. Get in touch to find out more about what we’re doing, and how it can work for you.