Picture two finance teams: One is drowning in expense reports, manually checking every receipt, and spending hours on data entry. The other analyzes spending patterns, negotiates better vendor deals, and helps business units make smarter decisions. The difference isn’t budget or team size. It’s whether they’ve embraced artificial intelligence (AI) tools.
This became clear during a recent crossover episode of The Accounting Podcast and Beyond Spend, recorded live at Emburse in Motion in Nashville. Host Blake Oliver, CPA, spoke with Adriana Carpenter, CFO of Emburse, and Olga Pavlova-Grebliauske from PizzaExpress—two finance leaders who have moved beyond talking about AI’s potential to using it daily.
While much of the accounting profession continues to debate what AI might do someday, these teams already use smart automation to eliminate tedious tasks. They’re moving from being compliance enforcers to business enablers who guide spending decisions and drive real value through data insights.
Stop Looking at Things That Don’t Need Attention
The change starts with a mental shift: finance teams no longer need to review every transaction.
For Olga at PizzaExpress, it’s not an option. She manages financial operations for a restaurant chain with over 350 locations across the UK, Ireland, Hong Kong, the UAE, and beyond. She deals with massive transaction volumes that would overwhelm any team doing manual reviews.
“Just stop looking at something that doesn’t need to be looked at,” Olga explains.
Consider PizzaExpress’s approach to VAT compliance. Previously, finance staff had to manually check every receipt to find and separate tips and service charges from product items. This is critical because VAT treatment differs for these components. Miss a service charge buried at the bottom of a long receipt, and the company risks over-reimbursing itself on VAT.
Now, AI-powered keyword detection automatically flags receipts containing terms like “tips,” “service charges,” or specific alcohol brands. The system doesn’t skip human oversight. Instead, it surfaces just the transactions that need attention. A receipt with a clearly separated tip gets processed automatically, while one with a service charge in a long itemized bill gets flagged for review.
Finding Hidden Insights in Your Own Data
When finance teams don’t have to look at every transaction, they can use this time to discover insights hiding in their own data. Adriana’s experience at Emburse shows how AI-powered analytics transforms routine spend management into business intelligence that drives real improvements and cost savings.
The transformation began with unlocking insights in their data through the power of Emburse Analytics, which combines spending data to reveal patterns. Rather than just processing reimbursements, the platform analyzes spending across departments, vendors, and categories.
Adrianna shares an example where the system identified vendor spend flowing through the wrong channels. Employees were buying SaaS subscriptions and processing them through expense reports rather than the company’s preferred procure-to-pay process. This created multiple problems: lost visibility into software subscriptions, missed security assessments, no volume discounts, and risk of buying duplicate solutions.
The system found scattered Adobe and DocuSign subscriptions—twelve individual Adobe licenses buried in expense reports, plus one enterprise license in accounts payable. Similar patterns appeared across other software vendors.
Armed with this intelligence, the finance team took strategic action. They consolidated the scattered Adobe licenses into a single enterprise agreement, negotiated better per-seat pricing, eliminated redundant subscriptions, and established clearer procurement protocols. The result wasn’t just cost reduction—it was better software governance, improved security oversight, and stronger vendor relationships.
The Future: Finance as Business Enablers
Adriana’s vision for the future shows how smart automation can change the relationship between finance teams and the broader organization, shifting from gatekeepers to enablers.
This future isn’t theoretical—it’s “quarters away, not years away,” according to Adriana. She describes a comprehensive AI-powered system that integrates calendar data, location tracking, emails, and receipt capture to pre-populate expense reports with minimal employee effort.
Adriana envisions AI as a central agent for all travel spending decisions—a single interface where employees interact with compliant travel booking options through conversation rather than hunting through policy documents.
Let’s say you want to book a business trip. You’ll open the Emburse app, and the AI will ask, “Tell me where you want to go. Tell me what it’s for,” Adrianna describes. The system will present only policy-compliant options and handle approval routing automatically.
“You’re helping the employee be compliant,” Adriana explains. Rather than catching policy violations after they happen, the system prevents violations by making compliance the easiest path. Employees get what they need efficiently, while finance teams gain better visibility and control.
Emburse is already working on technology to make this vision a reality. Their upcoming AI-powered hotel and car rental folio capabilities will accurately extract detailed folio data and itemize everything automatically. “It’s basically going to be able to look at very detailed receipts and truly go in and read it all and itemize,” Adriana says. This detailed data layer becomes the foundation for more advanced AI that can make decisions automatically.
Getting Started: Don’t Wait for Perfect Conditions
For organizations hesitant about this transformation, both leaders stress starting now rather than waiting.
Adriana recommends education as the foundation. “Educate yourself, educate your team,” she says. “We have a CFO organization that I’m a part of, and I get ideas from that. I get ideas from others in the industry. I get ideas from my CTO.”
She also suggests finding partners actively investing in AI development. “Look for partners that are investing in leading in these areas because they can also make it easier as a finance org to adopt and then continue to iterate.”
Olga adds that organizations should identify their most repetitive tasks first and remember that automation systems need ongoing human oversight. It’s also critical to get input from the people actually doing the work.
The Time to Act is Now
While many in the profession continue debating AI’s theoretical implications, forward-thinking teams are already getting real benefits from smart automation.
Finance professionals who embrace these tools are positioning themselves as strategic partners who guide spending decisions and enable business growth through data insights. The choice facing accounting professionals today isn’t whether to eventually adopt AI—it’s whether to lead this transformation or be dragged along by it.
For finance leaders ready to make this leap, the path forward is clear: identify your most repetitive tasks, educate yourself and your team, and partner with vendors actively investing in AI. Most importantly, don’t let fear of imperfection prevent progress.
Technology isn’t just changing how we work—it’s redefining what it means to be a finance professional. Those who seize this opportunity will discover that AI doesn’t threaten their careers; it elevates them to roles they never imagined possible.