Why the Future of Hospitality Depends on Getting the Data Right

It seems like a simple transaction.

A guest books a hotel room through an online travel agency (OTA). They pay. They arrive at the property, check in, and settle into their room. At the end of the stay, they expect the bill to be exactly what they were quoted when they made the reservation.

But behind that experience is a surprisingly complicated financial journey.

Consider what happens when a resort fee is charged twice, once through the OTA and again by the property. From the hotel’s perspective, it may look like a small transaction error, something a refund or adjustment takes care of. From the guest’s perspective, it’s something else.

Someone else messed up, and now they have to figure out why. They may have to call the hotel, contact the OTA, or dispute the charge with their credit card company. When they get the automated email asking for a review, they’ll probably take the chance to explain what happened. And the hotel won’t come off well.

That negative review may be seen by prospective guests, shared on social media, and discussed in online forums. So a “minor” financial discrepancy becomes a substantial reputation problem.

Address the Root Cause: Make Sure Systems Agree

Why do these kinds of discrepancies happen? Because the backend processing of a hotel stay is a financial labyrinth that involves different systems, processes, workflows, and teams.

What looks like one transaction to the guest is actually several interconnected financial events inside the organization.

And it’s not just a hotel issue. A similar degree of complexity often plagues “simple” transactions at restaurants and retail outlets as well. In most cases, there is no single source of truth.

While hospitality providers have spent years building systems to manage individual parts of their operations, the next opportunity involves a bigger-picture focus: Making those systems agree with one another. That’s where The Financial Trust Layer comes in.

In this guide, we’ll explain how The Financial Trust Layer works, and how hospitality organizations can use it to soothe their most persistent headaches, eliminate hours of financial gruntwork, and create a better experience for their guests.

We’ll also discuss why The Financial Trust Layer is such a crucial piece of a successful AI strategy, reconciling data and connecting systems to ensure that hospitality organizations are getting the most from their automation efforts.

The Hidden Complexity Behind a “Simple” Transaction

Hospitality is often described as a people business, but it’s a people business built on a highly fragmented technology and financial foundation. A standard hotel stay, for example, can touch a wide range of systems:

Take that complexity and spread it across hotel groups and management companies, and things can become even more convoluted:

• Two hotels operating under the same major brand may use different PMS or POS platforms.

• A management company may operate properties across multiple brands, each with its own technology environment.
• Ownership structures, franchise relationships, and third-party operators can introduce still more variations (and complications).
• Even hotels in the same company may have different definitions for transaction codes and accounts, creating inconsistent data

The result...

"Each system contains a piece of the financial truth... but not always expressed in the same way or updated at the same time."

Many processes remain manual, relying on employees to download data, move information between systems, review spreadsheets, compare reports, and investigate exceptions. In an industry with high turnover, those manual processes create additional risk, with less-experienced employees trying to navigate complex workflows without years of institutional knowledge to fall back on.

It doesn’t help that hotels, restaurants, and retailers have a lot of data, but that’s a challenge that many industries face. The underlying problem is that the data has to agree, and in many cases it doesn’t.

This isn't exclusively a hotel problem. Restaurants and retailers face similar challenges around payroll, gratuities, refunds, chargebacks, revenue leakage, and other financial processes. Wherever multiple systems contain overlapping information, someone ultimately has to determine what represents the truth when those systems disagree.

Making sure that kind of thing doesn’t happen is the real work of reconciliation.

Organizations have to align business rules to processes, validate the information between systems, identify discrepancies, understand why those discrepancies occurred, process the information correctly, and then send validated outputs to the systems and workflows that depend on them.

Data aggregation, in other words, is only the beginning.

When Small Errors Become Big Problems

One of the most dangerous things about financial discrepancies is that, on their own, they can look insignificant.

For example, a $50 payroll error at one restaurant might not seem like a major concern. Even a missed hotel cancellation fee of a few hundred dollars can be written off as an isolated mistake. But hospitality businesses don't operate one transaction at a time.

A single error that repeats across dozens of restaurants or a full hotel portfolio can become material. And a process that works incorrectly at one property can potentially be replicated across dozens or hundreds of others. That changes the nature of the problem.

A one-time payroll issue can be fixed. An individual guest bill can be corrected.

But operational consistency and organizational control are bigger issues. This is especially important in restaurant and hotel environments with high employee turnover, new or less-tenured staff, manual spreadsheets, and multiple disconnected systems.

The consequences of “small” errors extend far beyond the finance department. Financial accuracy is obviously an operational and customer-experience issue. But it can also become an employee-experience, compliance, and reputation issue:

• A discrepancy can lead to a guest complaint or negative review.
• Repeated problems discourage repeat business.
• Payroll or gratuity errors frustrate employees and expose businesses to fines and employee turnover.
• Revenue leakage can accumulate.
• Incorrect accounting treatment can create compliance or audit headaches.

The financial back office, then, isn't really the “back office” when something goes wrong. Guests, employees, and operators all experience the consequences. Eventually, the brand, the management company, and the owner will experience them too. And by then it’s too late to fix anything.

Financial operations, in other words, are often stuck in reactive mode, untangling exceptions or trying to correct mistakes. The opportunity, then, is to shift those operations from reactive to proactive.

From Reconciliation to The Financial Trust Layer

Let’s return to that double-charged resort fee. What could prevent it?

First, the relevant financial information from the OTA, payment system, and the PMS would need to be brought together. Then the information would need to be compared:

• Does the OTA say the guest has already paid?
• Does the hotel's system recognize that payment?
• Is the resort fee represented consistently in both systems?
• Is the amount expected based on the reservation and actual stay?

If those pieces don't agree, the discrepancy needs to be identified.

But is that enough? Only if the hotel is fine with this likely happening again somewhere down the road. The more significant piece of prevention is that someone needs to understand what happened and resolve it:

• Was the payment received but posted incorrectly?
• Was the fee included in the OTA transaction but not recognized by the property?
• Was the guest actually supposed to be charged at the hotel?
• What systems do I need to update to resolve this billing error?
• Is this an isolated exception or part of a broader pattern?

The Financial Trust Layer helps answer those questions by sitting between existing systems of record to reconcile the information they contain by…

All of these businesses could benefit from more reliable data – and not just because of the data’s immediate impact on customer or employee experience.

The Next Step: Why AI Needs Trusted Financial Data

The distinction between data and trusted data becomes particularly important as hospitality organizations further explore AI.

To date, much of the AI conversation in hospitality has focused on the guest-facing experience, from search and booking to recommendations and customer interactions. The goal has largely been to find ways the technology can make the guest journey more personalized or efficient.

Back office AI use tends to be more rudimentary. While many finance teams are experimenting with tools such as Copilot and other AI-enabled productivity tools, most use cases are relatively tactical: helping employees work with spreadsheets, analyze information, or complete routine tasks faster.

Nobody is knocking those gains. The more consequential opportunity, though, is AI as an action engine.

That requires a different foundation. An AI system, for example, can generate a response based on the information it receives. But if that information is incomplete, inconsistent or incorrect, an answer delivered with authority may still be wrong.

Financial reconciliation, by contrast, requires consistent and repeatable logic. The organization needs to understand any discrepancies and be able to trust that understanding. Imagine the difference between two scenarios:

What could an AI-enabled financial workflow look like? A system could potentially do things like…

• Identify an undercharged credit card transaction and initiate the appropriate corrective charge.
• Surface an overpaid OTA commission and reverse it.
• Identify a guest who was incorrectly charged and make the appropriate adjustment.
• Flag an exception that requires human approval.

It’s important to note, however, that AI itself isn't necessarily the end goal. Hotel operators, restaurants, and retailers ultimately want automation, not AI for its own sake. Where a decision must follow an auditable explicit policy every time, a deterministic rules-based workflow may be more valuable or appropriate than generative AI dressed up to look smart.

But when AI is the right avenue, it becomes considerably more useful if it has access to trusted operational information and when there is a reliable mechanism for turning its conclusions into controlled actions.

With Meta and OpenAI having released AI agents that people are already using in their personal lives every day, it’s only a matter of time before guests will expect hotels, restaurants, and other websites to operate at that same level of automation.

This is why The Financial Trust Layer matters. It provides a potential foundation on which automation and AI can operate. Without that foundation, organizations risk building increasingly sophisticated tools on top of increasingly unreliable information.

The Business Case for Trust

It’s not hard to recognize the real-world value of financial trust:

Together, these examples demonstrate how financial data can affect several dimensions of the business simultaneously. The Financial Trust Layer can help organizations…

• Reduce revenue leakage.
• Protect employees by helping prevent gratuity and payroll errors.
• Improve compliance and auditability through an audit trail.
• Strengthen visibility and controls that can help prevent fraud.
• Reduce the amount of manual financial investigation required.

But the ultimate benefit goes back to the bedrock of the hospitality industry: A better guest experience.

After all, a guest doesn't care that a finance manager saved eight hours by automating a reconciliation process. They care that they weren't charged twice. They care that their bill is accurate. They care that the employees serving them are being paid correctly. And they care that hotel staff are available when they call (meaning they’re not distracted by avoidable back-office problems).

Even as financial accuracy happens behind the scenes, its effects are felt at the front desk, in the dining room, at the register, and in the reviews that prospective customers read before stepping through the front door.

From Specialized Solutions to The Financial Trust Layer

Financial trust is a problem that Evention has been addressing for more than two decades. Starting with a solution focused on tips and gratuities, we expanded into additional financial workflows, including cash reconciliation, credit card reconciliation, credit card optimization, and OTA reconciliation.

What began as separate solutions has evolved toward a broader platform designed to reconcile disparate financial information – an evolution that reflects a broader shift in the industry.

Most hospitality organizations don't want more isolated tools. What they do want is for their existing financial information to work together. The financial trust layer can provide that connective tissue, establishing trusted financial information that other systems and processes can rely on across payments, revenue, and payouts.

It’s more than a platform that simply reports what happened. It’s one that helps organizations understand what happened. And once that clarity exists, they can…

• Automate a workflow.
• Route an exception to an employee.
• Generate an audit trail.
• Identify a recurring problem across multiple properties.
• Feed validated information into downstream systems.
• Give AI a more reliable foundation to operate on.

At the base of all of these activities for hotels, restaurants, and retailers is one clear objective: Have confidence in their information so they can plug their gaps and capitalize on the opportunities to come. And building that confidence can start today.

Getting to a Better Outcome

What did that guest who was charged the same resort fee twice ultimately want?

Not for the hotel to eventually identify the problem after she complained. Not for an employee to spend an hour investigating the discrepancy. And certainly not to become her own reconciliation system by calling the hotel to explain what happened.

What she wanted, without coming out and saying it, was for the discrepancy to be identified and fixed before it ever showed up on her bill.

That would have required the relevant systems to agree (or if they didn’t, the exception to be caught). It would have required the hotel to understand what happened. It would have required the appropriate correction to be made.

That may sound like a small operational improvement. But multiplied across properties, transactions, and guests, it becomes something much larger. It becomes a more reliable financial operation, a better employee experience, stronger controls, less revenue leakage, and fewer avoidable customer-service problems.

That is the power and the promise of The Financial Trust Layer. Get in touch to learn more about how Evention can help your organization start harnessing that power and delivering on that promise today.