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LEARNING DELIVERY
TRAINING CREATION
KNOWLEDGE BASE
LEARNING DELIVERY
TRAINING CREATION
KNOWLEDGE BASE
The L&D Playbook: How to Build AI Simulations & AI-Powered Courses for Your Team
23 June 2026
“AI simulations are the most effective way to boost your team's performance and get them genuinely engaged in training"
AI Simulations for Practice & Skill Building
You want your training to actually build skills — not just make them click through slides. You want real-world practice, scenarios grounded in your actual content, something that makes employees apply what they've learned instead of just passing a test.
Companies like Bank of America, Walmart, Accenture, Schneider Electric, Carlsberg, etс. already use AI simulations for exactly this — and it's the most effective way to train the specific skills each person is missing, without pulling managers into the process every time.
How it works
You identify each employee's weak spots based on their course results, assessments, behavioral data, or call analysis (you can build this with AI agents).
Without this context the simulation can't adapt properly and turns into a generic role-play that won't keep anyone engaged.
Then an AI agent plays the role of a client, mentor, or negotiation counterpart.
Sales, customer success and other team members go through at least one role-play or simulator with AI every day.
Every session generates a unique scenario focused on that person's specific gaps.
The simulation should always stay within the boundaries of your course content or source materials
Once it starts generating scenarios that go beyond what you've actually taught, employees end up practicing against situations that don't reflect your real standards, and that defeats the whole purpose of the exercise.
The interface can range from a text-based simulator to a real-time voice conversation with an AI avatar.
There can be two types of scenarios:
- a client scenario, where the employee practices with a simulated customer or counterpart
- a mentor scenario, where AI acts as a senior colleague walking them through a situation step by step.
After each simulation, AI delivers a detailed breakdown: mistakes, strengths, specific recommendations, and an assessment visible to HR and managers.
Simulations are about skill practice, and skills develop gradually, so you need to track results across multiple sessions, not just look at the feedback from a single one.
It is fully customizable to the specific employee and goals: client persona, script, agent behavior, difficulty level.
How to built a simple version
Step 1. Define your avatars, scenarios, and system prompts
For each role and scenario you configure:
For each role and scenario you configure:
-
Who the agent is: persona, background, personality, role
For sales or support call simulations, you describe your ICP or a typical client. For example:
`You're Martin, 45, chief engineer at a manufacturing plant. Your facility runs 24/7, any downtime costs the company thousands per hour. You're evaluating equipment upgrades but need to justify every purchase to management. You're technical, direct, and expect the rep to know the product inside out.` - How they talk: tone, style, conversation guidelines
For example:
'Maintain a calm, supportive tone.
Speak in a conversational, encouraging manner.' - Customize the prompt for each scenario and role
From here, you tailor the prompt depending on what exactly you need from each simulation. You define an objective and tasks for the agent and specific instructions for different situations. - How to score the rep after the session
Define evaluation criteria with weights, for example:
'Opening (greeting, introduction, confirming availability)
Discovery (open-ended questions, identifying pain points, understanding context)
Value pitch (connecting the offer to needs, specific benefits, relevant examples)
Objection handling (active listening, reframing, confident responses)
Closing and next steps (asking for commitment, setting specific next steps)'
The assessment agent should be a separate agent that reviews the full conversation after the session and scores the rep's performance based on your criteria.
Resources on prompt engineering to help you write better system prompts:
Step 2. Assemble the stack
If you want a voice-based simulator, you can use Vapi, a platform for building voice AI agents. It works like a constructor where you connect all the components together:
- LLM (GPT-4o works best for this task) generates the agent's responses based on your prompt and scenario.
- ElevenLabs converts those responses into natural-sounding speech in real time.
- Deepgram transcribes the employee's spoken responses into text for the LLM to process.
For a text-based simulator, you can build one on N8N, for example, where you hook up GPT working off your prompt to any interface you need (web chat, Slack, etc.).
Some learning platforms also offer built-in simulation features.
For example, in Evolve simulators are auto-generated from course content and the employee's existing assessment results.
The platform identifies the employee's weak spots based on how they performed in the course and generates a simulation that specifically targets those gaps. Each session is fully unique, regenerated every time.
Results feed into the employee's profile, where the platform combines simulator performance with course completion, open-ended answers, and 360 reviews, giving the manager a full picture of each employee's strengths and gaps.
Simulations work best for:
- practicing real conversations with clients, colleagues, or counterparts inside the company, where there's a script or guideline
- testing knowledge of standard procedures like workplace safety rules, compliance protocols, or equipment operation guidelines, where the simulation can run the employee through edge cases and check whether they know what to do in each situation
Where simulations won't help:
- memorizing product specs, regulations, or company policies, because a well-structured course handles that faster and cheaper than any role-play
- building physical muscle memory, because tasks like actual evacuation drills or hands-on equipment handling require real-world practice that no screen-based simulation can replace
We've been building Evolve for over 3 years, and today more than 1,000,000 simulations have been completed by employees across different companies and industries.
Read other guides:
Why Legacy Standards Limit Innovation - and Why AI-Native Learning Is the Path Forward
How to Connect CRM and ATS to Drive Sales and Hiring Performance
A Practical Guide for HR and L&D Leaders in 2026
The complete guide to modern HR platforms, tools & gaps