Dominic Jainy stands at the forefront of digital transformation, possessing a deep-seated mastery of artificial intelligence and machine learning as they apply to complex business environments. With a background that spans the technical intricacies of blockchain and the strategic implementation of enterprise resource planning, he has become a leading voice for organizations looking to shed the weight of legacy manual processes. In this conversation, we look specifically at the high-pressure world of the hospitality industry, where the speed of the kitchen is often bogged down by a paper-heavy back office. Dominic shares his insights on how modernizing accounts payable isn’t just about saving time, but about creating a scalable foundation for growth that leverages every bit of data available.
The following discussion explores the logistical nightmare of high-volume invoice processing, the critical role of automated three-way matching in protecting thin margins, and how seamless integration with systems like Dynamics 365 Business Central provides a level of financial oversight that was previously impossible for multi-location brands.
With restaurant finance teams dealing with a constant influx of invoices from such a diverse range of suppliers—from food and beverage to utilities and landlords—how does this variety complicate the daily operations of a growing hospitality group?
The sheer diversity of the vendor pool in the restaurant space creates a unique logistical puzzle that most traditional businesses don’t have to solve at this scale. When you think about it, a single restaurant location isn’t just buying ingredients; they are managing complex relationships with beverage distributors, local landlords, utility companies, and specialized service vendors for everything from hood cleaning to refrigeration repair. As a restaurant organization grows and adds more locations or franchise entities, the volume of these incoming documents becomes a tidal wave that can easily overwhelm a lean finance team. The manual burden of sorting through these different formats—some arriving as PDFs via email, others as paper slips at the delivery dock—leads to a fragmented view of the company’s liabilities. Without a centralized way to capture this data, the administrative friction becomes a bottleneck that prevents the brand from scaling effectively because the back office is always playing catch-up with the physical operations.
Manual data entry is often viewed as a standard part of accounting, but what are the specific risks and hidden costs that restaurants face when they rely on human hands to process these high volumes of invoices?
The hidden costs of manual entry go far beyond just the hours spent typing numbers into a spreadsheet; it’s about the erosion of data integrity and the missed opportunities for financial control. In a fast-paced restaurant environment, manual data entry is ripe for errors, whether it’s a transposed digit in a dollar amount or an invoice assigned to the wrong cost center or location. These mistakes ripple through the entire financial ecosystem, leading to inaccurate reporting that can mislead leadership about the actual profitability of a specific site. Furthermore, when invoices are processed manually, they often sit on the desks of busy managers who are focused on the “front of house” guest experience, causing massive delays in approval cycles. This slow turnaround doesn’t just extend the month-end close; it damages vendor relationships and can even lead to missed early-payment discounts or, worse, duplicate payments for the same delivery.
You’ve seen how AI and machine learning can transform data handling; how does the automated capture process specifically tackle the granularity of line-item details in a restaurant invoice?
Automated capture is a complete game-changer because it uses artificial intelligence to do the heavy lifting that used to require hours of focused human labor. Instead of a clerk manually entering every line item for a delivery of produce, the software can ingest a PDF or a scanned document and instantly extract the crucial details with high precision. It’s not just looking at the total amount due; the AI can drill down into line-level details, identifying individual products, quantities, and unit prices. What is truly impressive is how the system learns; it can suggest coding based on previous transactions, ensuring that a bill from a specific meat supplier is automatically routed to the correct expense category without a human having to remember the account code. For a restaurant group, this means that even as invoices flood in from dozens of different sources, the data remains structured, consistent, and ready for analysis in real-time.
Three-way purchase order matching is often touted as a gold standard for accuracy. Could you walk us through how this prevents financial leaks and ensures that a kitchen is actually getting what it paid for?
Three-way matching is essentially the ultimate safeguard for a restaurant’s bottom line because it forces a reconciliation between three critical documents: the invoice, the purchase order, and the delivery receipt. In many manual systems, a bill is paid simply because it arrived, but automation ensures that we are only paying for what was actually ordered and, more importantly, what was actually received at the loading dock. If a supplier bills for 50 cases of poultry but the delivery receipt shows only 45 were dropped off, or if the price per pound has spiked beyond what was agreed upon in the purchase order, the system flags the discrepancy immediately. This process helps restaurants identify pricing inconsistencies and quantity errors before the cash leaves the bank account, which is vital in an industry where margins are notoriously thin. By automating this, matching invoices can move through the system without any human intervention, while the “exceptions”—the ones that would have caused a financial leak—are the only ones that require a manager’s attention.
Integration seems to be the bridge between data and action. How does a seamless connection between an automation platform like Rillion and Dynamics 365 Business Central change the way a finance leader perceives their day-to-day workload?
When you integrate invoice automation directly with an ERP like Dynamics 365 Business Central, you are essentially creating a single, connected ecosystem where data flows without friction. Finance leaders no longer have to spend their days reconciling information between two different systems or performing duplicate entries to keep their records up to date. Once an invoice is approved, it posts directly into Business Central, ensuring that the financial records are an exact reflection of the accounts payable reality at that very moment. This integration reduces the administrative “noise,” allowing the finance team to shift their focus from being data processors to being strategic advisors. They can spend more time analyzing vendor spending patterns or supporting month-end close activities with confidence, knowing that the information in their ERP is accurate, consistent, and arrived there without the risk of manual intervention.
For a multi-location brand, the challenge of maintaining standardization while allowing for local flexibility is massive. How does a centralized system balance these two opposing needs?
Centralization is the only way to achieve true scalability in the restaurant world, but it has to be done in a way that doesn’t strip local managers of their necessary autonomy. An automated system allows the corporate finance team to establish universal approval rules and coding standards that apply across every brand or franchise location, ensuring that the data is uniform. However, because the system is accessible via mobile devices and desktops, local managers can still review and approve their specific invoices from the floor of the restaurant or while on the move. This setup provides the best of both worlds: the local team keeps the workflow moving regardless of where they are, while the central office gains a bird’s-eye view of all liabilities and spending across the entire organization. It creates a transparent audit trail and a level of oversight that makes managing a hundred locations feel as controlled as managing just one.
Profitability in hospitality is often a game of inches. Why is real-time visibility into vendor spending and liabilities so critical for modern restaurant groups?
In the restaurant business, waiting until the end of the month to see your numbers is essentially flying blind; you need to know where your money is going while you still have time to react. Real-time visibility through a centralized dashboard allows finance leaders to monitor the status of every invoice and track outstanding liabilities the moment they occur. This allows for much more accurate financial forecasting and helps the organization manage its cash flow with precision, which is especially important during periods of rapid expansion or economic volatility. When you can see vendor spending trends as they happen, you can negotiate better terms with suppliers or catch a sudden spike in utility costs before it ruins your quarterly margins. This level of insight transforms the accounts payable department from a back-office necessity into a powerful engine for profitability and strategic decision-making.
What is your forecast for the future of restaurant accounts payable as these technologies continue to mature?
My forecast is that we are moving toward a state of “invisible accounting,” where the vast majority of the accounts payable workflow happens autonomously in the background. As AI and machine learning models become even more sophisticated, the systems will not only capture and code invoices but will also become predictive, alerting finance teams to potential supply chain disruptions or suggesting the most cash-efficient time to pay a specific vendor. We will likely see a total shift where the only time a human interacts with an invoice is when the AI identifies a complex anomaly that requires a high-level strategic decision. For the restaurant industry specifically, this means that finance teams will finally be liberated from the “paper chase,” allowing them to focus entirely on growth, sustainability, and enhancing the guest experience through better financial health. The gap between a physical delivery at the back door and its final reflection in the financial statement will shrink to nearly zero, providing a level of agility that will define the next generation of successful hospitality brands.