AI guest · David
It’s his first visit. He wants to hear the restaurant’s story and learn about its signature dishes.
Talk Labs turns company standards into personalized voice role-plays that help employees sell with confidence and deliver better guest experiences.
It’s his first visit. He wants to hear the restaurant’s story and learn about its signature dishes.
Welcome! My name is Anna, today I will be your server.
This is my first visit. Tell me about the restaurant’s story and its signature dishes.
Our guests come back for signature dishes such as…
Talk Labs combines company training materials with real sales and service data to identify skill gaps and create relevant voice role-plays with an AI coach.
The system tracks skill growth over time, compares it with POS metrics, and helps teams understand how employee development relates to business performance.
Upload menus, service standards, scripts, instructions, scoring criteria, and other company materials.
Employees practice, managers see where to coach, and head office knows where the restaurant group needs attention.
Practice realistic guest interactions by voice. Get an instant score, review mistakes, and try again with a stronger response.
Don’t just identify a mistake — correct it immediately through practice.
Ask about the guest’s preferences and suggest a relevant add-on.
Talk Labs develops the behaviors employees need in real guest interactions — from recommending a dish to resolving a complaint. Companies can track skill growth and compare it with operating metrics.
New hires practice the menu, standards, and common scenarios before their first independent shift.
The team practices a featured menu item, promotion, or challenging scenario before the shift.
Employees learn to uncover guest needs, present menu items, and use upselling and cross-selling effectively.
Employees practice the approved process for identifying dietary restrictions and recommending suitable menu items.
The team safely practices handling delays, order errors, complaints, and manager escalation.
Every location, shift, and new team practices against the same standards.
Managers spot recurring gaps and assign the right next practice to each employee.
The company tracks skill growth and compares practice activity with operating metrics.
Scalable — for any number of employees.
Structured — from the first attempt to lasting mastery.
Measurable — with clear skill-growth trends.
A short guest interaction can shape what the guest orders, how many items they choose, and how they experience the visit. Every AI coach is tailored to a role, company standards, and the specific behaviors an employee needs to practice.
Refusal to pay, an allergy, delayed order, wrong dish, cold food, or a check error.
We’ll build one around your standards, menu, and real team scenarios.
Adjust the cost structure to compare profit before and after an increase in average check.
+$156,240 per year +$13,020 per month. Fixed costs stay flat as average check grows, so profit rises faster.
| Metric | Before | After | Change |
|---|---|---|---|
| Average check | $35.00 | $38.50 | +$3.50 (+10%) |
| Variable cost per check | −$13.30 | −$14.63 | −$1.33 (−10%) |
| Fixed costs | −$16.45 | −$16.45 | Doesn't change |
| Profit per check | $5.25 | $7.42 | +$2.17 (+41%) |
| Margin | 15 % | 19 % | +4 p.p. (+28%) |
| Monthly profit | $31,500 | $44,520 | +$13,020 |
|---|---|---|---|
| Annual profit | $378,000 | $534,240 | +$156,240 |
Scenario model assuming constant check volume and fixed costs. This is not a financial forecast or a guarantee of Talk Labs results.
And better service keeps guests coming back.
Talk Labs gives franchise systems a ready-to-use employee development platform: consistent standards, regular AI role-play, and transparent skill trends across every location.
Employees develop skills that influence the number and value of items ordered, improving location-level ROI for both franchisors and franchisees.
Estimate the impactHead office sets consistent criteria and tracks skill trends by location.
Franchisees get a ready-made, AI-powered team development system.
Eight capabilities span four connected layers — from employee practice to group-wide development and business metrics.
Runs realistic conversations, scores performance, and helps employees build practical skills.
Highlights strong responses, mistakes, and specific ways to improve.
Turns menus, standards, and scripts into behaviors employees can practice.
Surfaces strong examples, recurring mistakes, and performance trends.
Connects goals, practice, completion, scoring, and employee readiness.
Tracks skills, recurring mistakes, and trends from employee to location to the entire group.
Helps compare practice activity with POS and other business metrics.
Brings role-based workspaces, languages, shared standards, permissions, and integrations into one platform.
Talk Labs does not replace human coaches. It handles high-volume, recurring practice and routine workflows so managers and coaches can focus on higher-value work.
Available to every employee at once — without scheduling, hiring, or expanding the coaching team.
Session volume is limited by the coach’s time, schedule, and ability to support multiple locations.
Scenarios and difficulty adapt to each employee’s results and recurring gaps.
The coach must prepare roles, remember each employee’s history, and adjust every session manually.
Every employee receives the same practice structure, scoring, and feedback based on company standards.
Quality and scoring can vary by coach, shift, and the coach’s own condition.
Scenarios, assignments, feedback, attempt history, analytics, and integrations work as one system.
Materials, results and reporting must be updated, collected and transferred between systems manually.
Human coaches remain essential. Talk Labs handles high-volume recurring practice, consistent scoring, and always-on analytics.
Talk Labs is built for the foodservice industry, where a short conversation can shape service quality, order composition, and repeat visits.
We combined years of experience building customer-facing products with deep Voice AI expertise to provide the practice that courses and tests cannot.
Help the foodservice industry increase average checks and guest retention through consistent voice practice.

Serial entrepreneur with 15+ years of experience in technology and customer-facing businesses, including restaurants, hotels, banking, and retail. Former executive at a top-25 European bank.
LinkedIn
Technology leader with 7+ years of experience in AI, computer vision, and 3D; co-inventor on five patents. Former researcher at Samsung Research.
LinkedInTalk Labs is a Voice AI coach for frontline teams in the foodservice industry, including servers, cashiers, and other employees who interact with guests. Unlike an LMS, course, video, or test, it helps employees apply standards in realistic conversations. They respond by voice, receive a score and personalized feedback, then repeat the scenario. This develops real on-the-job behavior instead of testing knowledge alone.
Yes. You provide your menu, service standards, scripts, instructions, promotion details, and scoring criteria. Talk Labs uses them to create scenarios, AI guest prompts, and feedback rules in your brand’s terminology. Your team reviews the content and scoring criteria before launch.
Talk Labs works for situations where the outcome depends on an employee’s conversation with a guest: presenting the menu, uncovering needs, upselling, cross-selling, handling objections, navigating allergens and dietary restrictions, following service standards, and resolving complaints. Scenarios can be tailored to the role, experience level, restaurant format, a new menu, or a specific development program.
The employee chooses a scenario and starts a voice conversation with an AI guest. They respond as they would on the job, then receive a score based on company criteria, a review of strengths and mistakes, and specific recommendations. They can immediately repeat the scenario and apply the feedback.
After each session, the employee receives an immediate, criteria-based score showing what went well, where they made a mistake, and what to improve next time. Feedback is tied to specific responses and company standards, so it leads to a clear action rather than a generic comment.
Yes. Before their first independent shift, a new hire can practice menu knowledge, service standards, and common guest conversations. The AI coach creates a safe place to make mistakes, receive feedback, and repeat a scenario until the right behavior becomes consistent. Managers can see each new hire’s readiness and where they need more support.
Managers can see who completed each session, score trends, skill readiness, and recurring mistakes across individuals or the entire team. This shows who needs attention, which gaps appear most often, and what practice to assign next.
Employees complete short voice sessions before a shift, during downtime, or whenever it fits their workflow. After each conversation, they receive a score and recommendations, then repeat the scenario using the feedback. Managers see analytics, skill trends, and recurring mistakes, so they can assign the right next practice and step in only where human coaching adds value.
Talk Labs handles recurring practice, scoring, personalized feedback, and other repetitive workflows that are difficult to deliver manually to every employee. Managers do not need to review every session; they see shared gaps and the employees who need support. That lets them focus on complex situations, team development, and work that truly requires a person.
Yes. Talk Labs supports integrations with POS systems, including r_keeper and iiko, as well as LMS platforms, Telegram, WhatsApp, and internal company systems. Integrations can use operating data to identify potential gaps, personalize practice, and compare activity with performance trends. You can also launch without integrations.
Yes. Programs can be organized by brand, location, restaurant, role, and scenario so employees receive relevant practice and managers see the right team results. Head office can maintain consistent criteria, compare trends across locations, and identify group-wide gaps.
Languages, terminology, and available voices are configured for each company’s program, employee roles, and frontline team. Before launch, Talk Labs confirms the required language and voice support so the proposed setup matches what is actually available.
To launch, we need your core training materials and a list of priority workplace scenarios to turn into AI role-plays. The Talk Labs team helps configure scenarios and scoring criteria and prepares the program for testing. You can start without POS, LMS, or other integrations, so IT support is not required initially. Limited IT involvement may be needed later to connect integrations.
Yes. Talk Labs can create a scenario for a specific situation your team faces. Define the participant roles, conversation context, expected employee behavior, and scoring criteria. We tailor the scenario to your company’s standards, menu, and terminology, then your team reviews it before launch.
See how Talk Labs can adapt to your menu, standards, and business priorities.
