Step-by-Step: Automating Your Host Stand with an AI Phone Assistant in 2025

July 13, 2025

Step-by-Step: Automating Your Host Stand with an AI Phone Assistant in 2025

The restaurant industry is facing an unprecedented labor crisis. With chronic shortages of entry-level staff plaguing hospitality businesses across North America, independent operators are turning to artificial intelligence to fill critical gaps in their front-of-house operations (Hostie AI). The timing couldn't be more perfect: AI phone assistants have evolved from simple call routing systems to sophisticated conversational partners that can handle reservations, manage waitlists, and even upsell special events with remarkable nuance.

In June 2025, major restaurant chains like Applebee's and IHOP announced plans to implement Voice AI Agents to handle customer orders over the phone, signaling a significant shift in the industry's adoption of AI technology (Newo.ai). For independent operators, this represents both an opportunity and a necessity. AI hosts are already generating additional revenue of $3,000 to $18,000 per month per location, up to 25 times the cost of the AI host itself (Hostie AI).

This comprehensive guide will walk you through the entire deployment workflow for automating your host stand with an AI phone assistant in 2025. From selecting the right provider to measuring success metrics, you'll learn how to implement a system that not only addresses labor shortages but also enhances your guest experience and drives incremental revenue.


Why 2025 is the Tipping Point for Restaurant AI

The Labor Reality Check

The restaurant industry's staffing challenges have reached a critical point. Low pay, high stress, worker competition, and reluctance from those laid off during the pandemic to return, combined with poor working conditions, have led to a chronic shortage of entry-level staff in Canada's hospitality industry (Hostie AI). This shortage isn't just a temporary blip—it's a fundamental shift that requires innovative solutions.

Modern AI hosts can enhance efficiency, personalization, and guest satisfaction by engaging in natural conversations across multiple languages, handling bookings without human intervention, remembering guest preferences and special occasions, managing waitlists dynamically, providing real-time updates on table availability, cross-selling special events and promotions, and addressing dietary restrictions and special requests (Hostie AI).

The Technology Has Matured

AI assistants are already in use by early adopters, often without guests realizing it (Hostie AI). Companies like Newo.ai, Slang, RestoHost, Hostie, Revmo, and PolyAI are not just managing bookings; they are engaging in natural conversations, handling multiple languages, and showcasing soft skills previously thought to be exclusive to humans (Hostie AI).

The sophistication of these systems has reached a point where they can truly feel like a natural and essential addition to your operations. HostieAI, for example, is designed for restaurants, made by restaurants, and is an automated guest management system that learns and engages with nuance (Hostie AI).

Toast's Voice Ordering Beta Changes Everything

Toast's new Voice Ordering beta represents a significant milestone in restaurant technology integration. This development allows AI phone assistants to connect directly with your existing POS system, creating a seamless flow from phone call to kitchen ticket. The integration eliminates the need for manual order entry and reduces the potential for human error in the ordering process.


Step 1: Choosing Your AI Provider

Key Evaluation Criteria

When selecting an AI phone assistant provider, consider these critical factors:

Integration Capabilities: The AI integrates directly with the tools you're already using – existing reservation systems, POS systems, and even event planning software (Hostie AI). Look for providers that offer native integrations with your current tech stack.

Multilingual Support: In multicultural cities like Toronto and Montreal, AI systems offer a distinct advantage with their multilingual capabilities, enabling smoother communication with diverse clientele and enhancing the overall customer experience (Hostie AI). Hostie's AI, Jasmine, supports 20 languages, catering to both local and international guests (Hostie).

Learning and Adaptation: The tool doesn't just answer calls – it's built to learn the nuances of restaurant hospitality and engage with all of your systems (Hostie AI). Look for systems that can adapt to your specific restaurant's personality and service style.

Cost Benchmarks for 2025

Based on current market analysis, expect to invest:

Basic AI phone assistant: $200-500/month
Advanced features (multilingual, POS integration): $500-1,200/month
Enterprise solutions with custom training: $1,200-3,000/month

Remember, AI hosts are generating additional revenue of $3,000 to $18,000 per month per location, making the ROI calculation straightforward for most operators (Hostie AI).


Step 2: Phone Number Porting and Setup

Preparing for the Transition

Before porting your existing phone number to your AI system, ensure you have:

1. Current phone service details: Account number, PIN, and service provider information
2. Backup communication plan: Alternative contact methods during the transition period
3. Staff notification system: Inform your team about the upcoming changes

The Porting Process

Most AI providers can complete phone number porting within 3-5 business days. The process typically involves:

1. Initiation: Submit porting request with your AI provider
2. Verification: Confirm ownership of the existing number
3. Coordination: Your AI provider coordinates with your current carrier
4. Testing: Conduct thorough testing before going live
5. Activation: Switch over during low-traffic hours

Setting Up Call Routing

Establish clear escalation rules for different scenarios:

Standard reservations: Handle entirely by AI
Complex requests: Transfer to human staff
Peak periods: Implement overflow protocols
Emergency situations: Direct routing to management

Step 3: Training Your AI on Your Menu and Brand

Menu Integration Best Practices

Newo.ai allows restaurants to create their AI host in one click within minutes. The system can handle reservations directly and can be implemented in under an hour by feeding it the restaurant's menu, signature dishes, and reservation schedules (Hostie AI).

To effectively train your AI:

Menu Structure: Organize your menu data hierarchically:

• Categories (appetizers, mains, desserts)
• Items with descriptions
• Pricing and availability
• Dietary restrictions and allergen information
• Seasonal or limited-time offerings

Signature Dishes and Recommendations: Train your AI to highlight your restaurant's specialties and make appropriate recommendations based on guest preferences.

Brand Voice and Personality: Your AI should reflect your restaurant's unique character. Whether you're a casual bistro or fine dining establishment, the AI's responses should match your brand's tone and service style.

Advanced Training Techniques

Le Pain Quotidien has partnered with software company November Five to create Alain.AI, an artificial intelligence tool that serves as a 'digital twin' of chef-founder Alain Coumont. Alain.AI can access any of the 10,000 recipes and develop new ones based on the brand's culinary traditions, local flavors, seasonal ingredients, and dietary preferences (Le Pain Quotidien).

While you may not need a digital twin of your chef, this example illustrates the potential for deep brand integration in AI systems.


Step 4: Connecting with Toast and Square POS Systems

Toast Integration Setup

With Toast's new Voice Ordering beta, the integration process has become more streamlined:

1. API Configuration: Connect your AI system to Toast's API endpoints
2. Menu Synchronization: Ensure real-time menu updates flow to your AI
3. Order Processing: Set up automated order routing to kitchen displays
4. Payment Integration: Configure payment processing for phone orders
5. Reporting Setup: Establish data flow for analytics and reporting

Square Integration Process

For Square users, the integration involves:

1. Square Developer Account: Set up API access credentials
2. Webhook Configuration: Enable real-time inventory updates
3. Order Management: Configure order creation and modification workflows
4. Customer Data Sync: Ensure customer information flows between systems
5. Transaction Reporting: Set up comprehensive reporting dashboards

Testing Your Integration

Before going live, conduct thorough testing:

Order Accuracy: Verify orders are correctly transmitted to the kitchen
Inventory Updates: Confirm real-time availability updates
Payment Processing: Test various payment scenarios
Error Handling: Ensure graceful handling of system errors
Performance: Test under various load conditions

Step 5: Setting Escalation Rules for Peak Periods

Understanding Peak Period Challenges

During busy periods, even the most sophisticated AI systems may need human backup. Over two-thirds of Americans would ditch restaurants that don't answer the phone (Hostie AI), making it crucial to have robust escalation protocols.

Designing Effective Escalation Rules

Time-Based Escalation:

• Calls during peak hours (7-9 PM) escalate after 2 minutes
• Off-peak calls escalate after 5 minutes
• Late-night calls route directly to voicemail with callback promise

Complexity-Based Escalation:

• Large party reservations (8+ people)
• Special dietary requirements or allergies
• Complaints or service recovery situations
• Catering or private event inquiries

Volume-Based Escalation:

• When call volume exceeds AI capacity
• During system maintenance or updates
• When multiple complex calls are queued

Implementing Smart Queue Management

Modern AI systems can manage waitlists dynamically, providing real-time updates on table availability (Hostie AI). Your escalation rules should account for:

Queue Position Updates: Regular communication with waiting callers
Alternative Suggestions: Offering different time slots or seating options
Callback Options: Allowing customers to receive callbacks when tables become available

Step 6: Measuring Success - Key Metrics and KPIs

Essential Performance Indicators

Missed Call Rate Reduction:

• Baseline measurement before AI implementation
• Target: 90% reduction in missed calls within 30 days
• Track hourly, daily, and weekly trends

Incremental Reservations:

• New bookings generated through AI interactions
• Upselling success rate for special events and promotions
• Revenue attribution to AI-driven reservations

Customer Satisfaction Metrics:

• Call resolution time
• Customer feedback scores
• Repeat booking rates
• Complaint resolution effectiveness

Advanced Analytics and Reporting

ChatGPT can handle feedback and complaints in real time, responding to online reviews or gathering comments from surveys. It can escalate sensitive issues to managers while ensuring guests feel heard and valued (Hostme).

Your AI system should provide:

Real-time dashboards showing call volume and resolution rates
Trend analysis identifying peak periods and capacity needs
Revenue tracking measuring AI-generated bookings and orders
Performance benchmarks comparing against industry standards

30-Day Success Checklist

Week 1-2: Foundation Metrics

• [ ] Baseline call volume and missed call rate established
• [ ] AI system handling 80% of routine inquiries
• [ ] Staff comfortable with escalation procedures
• [ ] Initial customer feedback collected

Week 3-4: Optimization Phase

• [ ] AI response accuracy above 95%
• [ ] Missed call rate reduced by 70%
• [ ] First incremental revenue measurements
• [ ] Staff training on advanced features completed

30-Day Targets:

• [ ] 90% reduction in missed calls
• [ ] 15% increase in reservation bookings
• [ ] 95% customer satisfaction with AI interactions
• [ ] Positive ROI demonstrated

Implementation Timeline and Checklist

Pre-Implementation Phase (Week 1-2)

Provider Selection and Contracting:

• [ ] Evaluate AI providers based on integration capabilities
• [ ] Review multilingual support requirements
• [ ] Negotiate contract terms and pricing
• [ ] Schedule implementation timeline

Technical Preparation:

• [ ] Audit current phone and POS systems
• [ ] Prepare menu data and brand guidelines
• [ ] Set up testing environment
• [ ] Plan staff training schedule

Implementation Phase (Week 3-4)

System Setup:

• [ ] Complete phone number porting
• [ ] Configure AI training with menu and brand data
• [ ] Establish POS system integration
• [ ] Set up escalation rules and protocols

Testing and Training:

• [ ] Conduct comprehensive system testing
• [ ] Train staff on new procedures
• [ ] Test escalation scenarios
• [ ] Prepare customer communication materials

Go-Live Phase (Week 5-6)

Launch Preparation:

• [ ] Final system checks and testing
• [ ] Staff briefing and readiness confirmation
• [ ] Customer notification of new system
• [ ] Monitoring and support protocols activated

Post-Launch Monitoring:

• [ ] Daily performance monitoring
• [ ] Customer feedback collection
• [ ] Staff feedback and adjustment
• [ ] Performance optimization

Overcoming Common Implementation Challenges

Technical Integration Issues

While AI technology has advanced significantly, integration challenges can still arise. The key is working with providers who understand restaurant operations. HostieAI is designed for restaurants, made by restaurants (Hostie AI), which can significantly reduce integration complexity.

Common Solutions:

• Work with providers offering dedicated restaurant expertise
• Ensure robust testing before full deployment
• Maintain backup systems during transition periods
• Plan for gradual rollout rather than immediate full implementation

Staff Resistance and Training

Some team members may be skeptical about AI implementation. Address concerns through:

Clear communication about AI as a tool to enhance, not replace, human service
Comprehensive training on new workflows and escalation procedures
Feedback mechanisms allowing staff input on system improvements
Success sharing highlighting positive outcomes and benefits

Customer Acceptance

Guests may initially be surprised by AI interactions. Ensure smooth acceptance through:

Transparent communication about new technology implementation
Seamless experience that feels natural and helpful
Easy escalation to human staff when needed
Consistent quality that meets or exceeds previous service levels

Future-Proofing Your AI Investment

Emerging Trends in Restaurant AI

Danny Meyer, entrepreneur and founder of Shake Shack, envisions a future where restaurants use AI to know customer preferences and tailor a customized dining experience. Meyer believes AI can bring three key benefits to hospitality: increased revenue, efficiencies to supply-chain and back-office operations, and improved hospitality by focusing more on guests (Fortune).

Preparing for Advanced Features

As AI technology continues to evolve, prepare your restaurant for:

Predictive analytics for demand forecasting
Personalized recommendations based on guest history
Advanced multilingual capabilities for global customer base
Integration with emerging technologies like voice assistants and smart devices

Scalability Considerations

Choose AI solutions that can grow with your business:

Multi-location support for restaurant groups
Advanced reporting for enterprise-level analytics
Custom integrations for specialized restaurant operations
API flexibility for future technology additions

Conclusion: Your Next Steps

The restaurant industry stands at a pivotal moment. With labor shortages continuing to challenge operators and AI technology reaching new levels of sophistication, implementing an AI phone assistant isn't just an option—it's becoming a necessity for competitive restaurants (Hostie AI).

In just a couple of years, there will hardly be any business that hasn't hired an AI employee (Hostie AI). The question isn't whether to implement AI in your restaurant, but how quickly you can do it effectively.

Restaurants are rapidly becoming the last bastion of personal interaction in the retail space (Hostie AI). By implementing AI thoughtfully and strategically, you can preserve and enhance that personal touch while addressing operational challenges and driving incremental revenue.

Start your AI journey today by evaluating providers, assessing your current systems, and planning your implementation timeline. The restaurants that act now will have a significant competitive advantage as AI becomes standard across the industry.

Remember, the goal isn't to replace human hospitality but to enhance it. With the right AI phone assistant, you can ensure every call is answered, every guest feels valued, and your restaurant operates at peak efficiency even during the busiest periods. The future of restaurant service is here—and it's time to embrace it.

Frequently Asked Questions

How much additional revenue can AI phone assistants generate for restaurants?

AI phone assistants can generate between $3,000 to $18,000 in additional monthly revenue for restaurants. This increase comes from improved order accuracy, reduced missed calls, 24/7 availability, and the ability to handle multiple customers simultaneously during peak hours.

What major restaurant chains are already using AI phone assistants?

Major chains like Applebee's and IHOP (under Dine Brands) announced plans in June 2025 to implement Voice AI Agents for handling customer phone orders. McDonald's has also partnered with IBM to use AI for drive-through orders, showing widespread industry adoption.

Can AI phone assistants handle multiple languages for diverse customer bases?

Yes, modern AI phone assistants like Hostie's Jasmine support up to 20 languages, making them ideal for restaurants serving both local and international guests. This multilingual capability helps break down language barriers and improves customer experience for diverse communities.

How do AI phone assistants integrate with existing restaurant POS systems?

AI phone assistants integrate seamlessly with major POS systems and reservation platforms. For example, Hostie integrates with leading POS systems and reservation management tools, allowing orders and bookings to flow directly into existing restaurant workflows without manual data entry.

What specific tasks can AI phone assistants handle beyond taking orders?

AI phone assistants can handle reservations, answer menu questions, process takeout orders, manage customer complaints, provide restaurant hours and location information, and even send follow-up messages. They can escalate complex issues to human staff while managing routine inquiries 24/7.

How does AI help restaurants address the current labor shortage crisis?

AI phone assistants directly address labor shortages by automating front-of-house tasks that typically require entry-level staff. As highlighted by Hostie's research, the restaurant industry faces unprecedented staffing challenges, and AI fills critical gaps while allowing human staff to focus on higher-value customer service tasks.

Sources

1. https://fortune.com/2024/02/15/ai-make-business-better-restaurants/
2. https://newo.ai/ai-employees-applebees-ihop/
3. https://www.hostie.ai/?utm_source=email&utm_medium=newsletter&utm_campaign=term-sheet&utm_content=20250505&tpcc=NL_Marketing
4. https://www.hostie.ai/blogs/forbes-how-ai-transforming-restaurants
5. https://www.hostie.ai/blogs/introducing-hostie
6. https://www.hostie.ai/blogs/missed-connection-over-two-thirds-of-americans-would-ditch-restaurants-that-dont-answer-the-phone
7. https://www.hostie.ai/blogs/when-you-call-a-restaurant
8. https://www.hostie.ai/features
9. https://www.hostmeapp.com/blog/chatgpt-for-restaurants
10. https://www.restaurantbusinessonline.com/technology/le-pain-quotidien-uses-ai-create-digital-twin-chef-founder-alain-coumont