AI Hosts Reshaping Restaurant Service in Canada

By Leighton Prabhu

In an industry that has always valued personal service, artificial intelligence is starting to reshape restaurant front-of-house operations. Historically, full-service restaurants depended on human hosts and hostesses for managing reservations. However, emerging AI-powered solutions are now disrupting this norm, offering a blend of efficiency and interactions that feel surprisingly human.

The Evolution of Front-of-House Technology

New AI solutions represent a quantum leap forward in automating customer-facing functions. These systems, exemplified by a new generation of companies like Newo.ai, Slang, RestoHost, Maitre D AI, Revmo, and PolyAI aren’t just managing bookings – they’re conducting natural conversations, handling multiple languages, and demonstrating soft skills that were once thought to be exclusively human domain.

Or that’s the promise. In practice, there are still barriers to widespread adoption due to both technological and human factors. If you’ve ever been trapped in your bank’s automated voice recognition system, you’ll be familiar with the frustrations that can arise. The quality of the voice signal, the system’s latency and siloed options can easily lead to fuming customers.

On the operator side, these risks could damage guest relations and lead to negative reviews in the all-important Yelp and Google Maps rankings. Users are much more likely to leave negative feedback than positive feedback. Is it worth the risk of becoming an early adopter of the technology?

An Immediate Bottom-Line Impact

Perhaps it is. “In our existing implementations, AI hosts are generating an additional revenue of $3,000 to $18,000 per month per location, up to 25 times the cost of the AI host itself,” says David Yang, founder of Newo.ai. “Technology has never been more accessible for businesses of any size. In just a couple of years there will hardly be any business that hasn’t hired an AI employee.”

Multioutlet sitdown restaurants with well established training procedures are perhaps the best positioned to make the quickest return on investing in AI hosts, as learnings can be applied throughout the organization and with internal IT expertise capable of implementing and supporting the AI technology.

Where to start?

However, with such a wide array of technology providers, how would a restaurant assess the capabilities of each and decide on a specific one?

When it comes to differentiating, the main aspects to look at are the ease of creation, ability to customize at low cost, and human-like functionality. For example, with Newo.ai a restaurant can create their AI host with just 1 click in a couple of minutes. Their AI host comes with phone and chat channels out of the box with the ability to make reservations directly in a restaurant’s existing booking system.

An initial implementation can be done in less than an hour, as the system is “fed” the restaurant’s menu, signature dishes, reservation schedule and other basic data. It can also be trained in the style and brand voice of the restaurant, and in prior scenarios. It can then handle the most basic tasks such as bookings, cancellations, and menu questions.

For more complex scenarios, humans can review cases where the AI failed and then teach it how to handle them. Over time, the AI will have access to all prior cases and be able to cover more and more cases. And, unlike humans, such lessons are not lost when staff turnover occurs.

AI assistants are already in place in many early adopters, sometimes unbeknownst to guests. Specific use cases where the technology has led to concrete revenue gains include taking bookings during hours when the restaurant is closed and the caller would have otherwise been forwarded to a voicemail service, or during peak times when the human host or hostess is unable to answer calls.

“I’m skeptical on the state of AI agents currently,” says Sanjay Singhal, owner of Coffee Oysters Champagne in Toronto. “I have enough trouble trying to train a human on how to respond to anything other than the simplest seating requests — I don’t see how any AI would be able to make the requisite analysis of whether the room could be rearranged to fit a large number of last minute guests. If a buzz develops around a particular solution, of course we’ll try it out, but our favoured approach would be if our reservations software (Sevenrooms or OpenTable) offered an AI host solution.”

Beyond Basic Booking

Modern AI hosts can:

Engage in natural conversations across multiple languages
Handle bookings without any human intervention, including groups and complex booking modifications
Remember guest preferences and special occasions
Manage wait lists dynamically
Provide real-time updates on table availability
Cross-sell special events and promotions
Handle dietary restrictions and special requests

The Canadian Context

The chronic shortage of entry-level staff in the Canadian restaurant market leads naturally to a role for AI hosts.

In multicultural hubs like Toronto and Montreal, the multilingual capabilities of AI systems are particularly valuable. AI solutions can seamlessly switch between English, French, Mandarin, Spanish, Punjabi and other languages, ensuring a welcoming experience for a diverse clientele.

The Human Element

Contrary to initial concerns about job displacement, many restaurants are finding that AI hosts complement rather than replace human staff. An AI system can handle routine tasks, allowing human hosts to focus on high-touch guest interactions and improving their job satisfaction. It’s about enhancing the guest experience, not diminishing the human element.

Virtually any restaurant format can benefit from AI hosts, although it would make the greatest impact in high-volume, full service restaurants.

“Restaurants are rapidly becoming the last bastion of personal interaction in the retail space,” says Lenny Lighter, former owner of Moishe’s Restaurant in Montreal and now of the Prime Bar à Boeuf restaurant in Royalmount. “AI is coming and coming fast, but will AI be intelligent enough to find the balance between technological innovation and the warmth of the human touch?”

Moreover, the adoption of any new system causes disruptions to existing systems, resistance to change, and a skills gap / training need. While the technology providers can show demos that implement an AI host in minutes, in reality it requires specialist skills to take advantage of the technology and to keep up with developments. These skills are unlikely to be found in-house, and smaller establishments may become beholden to external technical consultants.

ROI and Operational Benefits

The business case for AI hosts is compelling:

24/7 reservation capability without staffing costs
Reduced no-shows through automated confirmation and reminder systems
Improved table utilization through smart scheduling
Consistent guest communication
Reduced training requirements
Lower operational costs

Implementation Challenges

While the technology is promising, restaurants face several considerations:

Initial setup and integration costs
Staff training, acceptance, and adaptation
Guest acceptance and comfort levels
Technical support requirements
Data privacy and security compliance

Looking Ahead

As AI is evolving at such a rapid pace, it’s impossible to predict whether AI technology specialists like Newo.ai will emerge as the essential providers, or whether AI features will become embedded within existing platforms that already support the restaurant sector, such as OpenTable, Resy, or LightSpeed.

Favouring the former is the emergence of “AI-native business applications” which will disrupt legacy SaaS applications based around hard coded business logic. Essentially, an AI agent can ingest virtually unlimited operational data to learn how to become an expert restaurant manager. Predictive analytics will lead to autonomous actions: AI systems will not only manage reservations but predict staffing needs, order supplies, optimize table turns, and personalize guest experiences at an unprecedented level.

In this fundamental re-thinking of the nature of software, legacy providers must recognize the threat and adapt. History teaches us that few will do so before it’s too late.

But don’t count out the legacy platforms just yet. Restaurants are famously difficult to scale and still rely on the human touch at all tiers of the sector. Dripping AI-assisted features into human-facing operations will allow users to adapt gradually.

The Future is Now

For Canadian restaurant operators, the question is increasingly not whether to adopt AI front-of-house solutions, but when and how. With labour challenges, rising costs, and increasing guest expectations, AI offers a promising path to operational efficiency while maintaining – and potentially enhancing – the guest experience.

As we move forward, the most successful implementations will likely be those that find a balance between technological efficiency and the warmth of human hospitality that defines the restaurant industry.

About the Author:

Leighton Peter Prabhu, based in Montreal, is a Director of Interstice Consulting. With a background combining finance, accounting, international tax and e-commerce, he specializes in advising entrepreneurial companies on strategies to grow their profits.