Onboarding in the restaurant industry: when “doing well” can't wait

Between the “You'll see, it's easy”, the menus that change every three days and the customers who find The An impossible question, the beginnings in catering were anything but peaceful.

Good news: AI Agents are just there to avoid cold sweats.

We explain to you!

Onboarding in the restaurant industry: when “doing well” can't wait

It is often said that catering is a “school of life.”
In reality, it is mainly a school of Real time.

When Clara arrives for her first days in the theater, she is not given three weeks of theory:

• She should know The menu,
• master the service codes,
• Respond to customer questions
  ... while always smiling, even when the restaurant is full.
  
  

Traditionally, onboarding is based on:

• a bit of tutoring in pairs,
• oral instructions (often not written),
• sheets or supports that are not always up to date,
• and lots of improvisation.
  
  

Result:
👉 the new ones are increasing their skills at very different speeds,
👉 the teams get tired of repeating the same instructions,
👉 and the customer feels every approximation directly.

With the Beedeez AI Agent suite, onboarding is no longer just “following someone and hoping to remember everything”.
It becomes active support, integrated into the daily life of your team.

The Simulation Agent: repeat or replay situations... to better experience them in real life

Your team does not need a course on “customer relationships in the restaurant industry.”
She needs to know What to say When:

• the room is already full and a client shows up without a reservation,
• a customer hesitates about the dishes,
• Someone seems dissatisfied but says nothing.
  
  

With theSimulation agent, Clara can train on realistic scenarios, such as:

“Welcoming customers when the restaurant is full”
“Present the menu for the week”

The Agent gives him the context (“The restaurant is full this Saturday evening”) and a clear mission:

• welcome with empathy,
• explain the situation without coldness,
• propose a credible alternative (another niche, a suggestion, a solution).

Clara answers out loud, just like she would with a real customer.
The Agent analyzes his response, tells him:

• what she did well,
• what it can improve,
• and recommends a capsule to strengthen his skills (for example on the management of delicate situations).
  
  

Key insight:
We no longer only train “in general cases”, we train On the real scenes of the day.
Onboarding doesn't prepare you for an abstract role, it prepares you to very specific situations, experienced every day.

The Q/A Agent: answering customer questions directly

Second challenge: customer questions.

In catering, they fall all the time:

• “What is the origin of fish?”
• “Do you have gluten-free options?”
• “Is this dish suitable for a pregnant woman?”
  

Before:

• or Clara knew,
• or she was going to check in the kitchen,
• or she was improvising (and we prefer to avoid that).
  
  

With theQ/A officer, Clara can ask directly:

“Origin of salmon in our dish of the day?”

The Agent answers in a few seconds, based on the content you have integrated into Beedeez:

• origin of the products,
• commitments,
• nutritional information,
• menu cards...

And above all: he does with your words, your protocols, your standards.

Key insight:
It's not “an AI that knows everything”: it's an AI that knows what YOU have decided to formalize : your map, your procedures, your positioning.
The promise is not “answer everything”, but Answer right, in your frame.

The logic of our Agents is simple:

• short sequence,
• strong relevance,
• repetition over time.
  

Key insight:
The formation is not only played front taking up a post.
It is also played thereafter, in repetition, consolidation, micro-reminders that transform an instruction into a reflex.

What AI Agents are really changing for your teams

Beyond the “product demonstration”, what these use cases show is a paradigm shift:

Training is no longer a detour.

It no longer interrupts the activity:
she accompanies the activity, at each key moment (before the service, during, after).

Knowledge is put to work

• in simulations,
• in instant responses,
• in consolidation quizzes,
• in personalized recommendations.

AI does not replace the manager, it extends him.

It becomes:

• a faithful repetition of the instructions,
• a constant relay of best practices,
• support for topics on which the manager is not available every second.

Onboarding is becoming measurable.

By analyzing:

• the questions asked,
• the scenarios worked on,
• recurring errors,

We understand Where new hires are really blocking... and we adapt the content accordingly.