Precision Over Hype: Why hospitality finance demands a different kind of AI

Kinza: 
So let’s talk application. Where exactly is AI making an impact in hospitality finance? 

Sundar: 
There is a lot of value across key areas: 

• Dynamic pricing and revenue management. AI fine-tunes rates based on real-time demand. 

• Forecasting and budgeting. It identifies patterns that humans might miss. 

• Operational efficiency and cost optimization. Smarter allocation, lower waste. 

• Energy management. AI helps reduce utility costs. 

• Automated reporting. Time-saving and consistent. 

• Anomaly and fraud detection. Especially important for maintaining financial integrity. 

Kinza: 
That’s powerful. But I imagine with great data comes great responsibility. Let’s talk about access security. 

Sundar: 
Exactly. And this is where things get serious. Most general AI models are not built with deep access control in mind. Anyone can ask anything, and that just does not work for us. 
In hospitality finance: 

• Not everyone should be allowed to access everything. 

• Nobody from outside the organization should have entry. 

• Internally, access must be very granular and highly specific, based on user roles. 

• And 100 percent accuracy is essential. Financial data leaves no room for approximation or 99% accuracy. 

This makes our use case far more complex than consumer tools. We are not asking AI for a holiday recommendation. We are asking it to support critical business decisions that can impact millions in profit. 

Kinza: 
So AI in this context is not just another fancy tool. It has to be secure and purposeful. 

Sundar: 
Absolutely. Even though, from a sales & marketing point of view, it is sometimes tempting to offer a quick and simple ‘wow’ effect. However, it is not in our nature to resort to sudden or superficial gimmicks. Our goal is to provide relevant solutions that deliver genuine value to users, while upholding our established standards of excellence in data protection and confidentiality. 

Kinza: 
That’s a great philosophy. On a more personal note, based on your experience, how does this compare to other B2B AI use cases? 

Sundar: 
It is significantly more demanding. Compared to other B2B AI use cases, hospitality finance involves a unique level of complexity and unpredictability. Unlike industries such as manufacturing, where conditions are relatively stable, hotels operate in an environment that can change hourly. Factors like weather, local events, traffic conditions, and even last-minute group bookings can dramatically impact performance and planning. 

What makes it even more challenging is that no two hotels are exactly the same. A hotel near a major attraction will have very different business dynamics than one in a quiet business district. These differences mean that financial planning must be highly customized, with constant adjustments based on real-time inputs. That’s why at Fairmas, we focus on building AI that is not just powerful but also deeply tailored, responsible, and secure, because in hospitality finance, there is no one-size-fits-all approach. 

Kinza: 
Well said. Thank you, Sundar, for sharing these real-world insights. It is clear that AI in hospitality finance is not about hype. It is about building meaningful, secure, and practical solutions that truly make a difference. 

Conclusion 

AI is not a magic solution, and it should not be treated as one. As Sundar highlighted, it is a tool that supports human decision-making. The strength of AI in hospitality finance lies in its ability to process vast amounts of data, identify trends, and enhance accuracy and efficiency, all while keeping data protection front and centre. 

At Fairmas, we do not chase hype. We are focused on delivering solutions that provide real value to our customers. Every AI feature we are currently developing must meet the highest standards of data security, accuracy, and business relevance. The financial planning needs of the hospitality industry are complex. But with the right application of AI, they can be handled more intelligently, more securely, and more effectively. Fairmas software solutions, further integrated with AI, will help drive smarter decision-making and ultimately boost profitability.