AI Simulations

AI simulation training: practise the hard calls before they count

AI simulation training puts managers into realistic situations, scores their decisions and coaches their words. In fact, Seven builds these simulations into in-person and virtual programmes. As a result, people practise a delegation call, a difficult conversation or a crisis. Then they see where their judgement differs from an expert's.

Try the delegation simulation See 24 use cases

10decisions in the live sample

24use cases ready to build

10 minto try the sample

Your first MondaySample inbox

RohanDelegate

ECN backlog: need your sign-off

Anita, your VPDo myself

Automation business case

A peer directorDecline

Quick favour: can you build this?

Ten items like these wait in the live sample. Names and situations are fictional.

What it is

What AI simulation training is, and what it is not

AI simulation training is practice in a realistic, scored scenario, with AI coaching on what the learner decided or wrote. Unlike a case study, a simulation gives people a decision to make and a consequence to see. In short, it is simulation-based learning with a coach beside every learner. You may also hear it called AI simulation-based training.

In practice, an in-basket exercise is the simplest example. A learner faces an inbox of competing requests and then decides what to do with each one. For example, they delegate, route, keep or decline. Seven runs this as an in-basket simulation, so you see the pattern across ten choices instead of one right answer.

It is not a video, a quiz or a chatbot. Instead, each scenario has a written expert model behind it. Therefore feedback stays consistent, and every difference is explained.

Decide

Learners make the call

First, people choose under pressure in a fictional but realistic situation. They commit before they see any answer.

Compare

Choices meet an expert model

Next, the simulation compares each choice with the expert's. Then it explains every difference, so people learn the reasoning and not only the answer.

Coach

AI coaches the words

Finally, AI coaches written work such as a handover or a difficult conversation. A facilitator then leads the debrief.

Inside our programmes

AI simulation training inside in-person and virtual programmes

First, we do not sell simulations as a separate tool to log into. Instead, we build AI simulation training India organisations can use into our programmes, in the room or online. In other words, this is blended learning with AI. First, the facilitator teaches the model. Then the simulation lets people practise it, and the debrief turns it into habit.

Programme without simulationProgramme with AI simulation

PracticeOne role play per person, if time allowsEvery person practises every scenario

FeedbackFrom the facilitator, one group at a timeImmediate, scored against an expert model, with AI coaching on written work

The facilitator's viewWhatever they can overhearA live view of every group's results, revealed on cue

The debriefBuilt on memory and impressionsBuilt on what each group actually chose and wrote

ReachOne room at a timeIn person, or online on Zoom or Teams

Live sample

Try a delegation in-basket simulation

In fact, this is a working version of a simulation from our leadership programmes, trimmed for one person on a website. In a session, groups work it together while the facilitator watches the results arrive.

Delegation in-basketTen decisions, one handover message, AI coaching

Loading the simulation…

Expert answers reflect Seven's delegation model. Handover coaching is generated by AI against that model. Names and situations are fictional.

Use cases

24 AI simulation use cases for leadership and people skills

In total, our leadership simulation exercises cover decisions, conversations, customers, people processes and crises. In addition, management simulation exercises help new managers practise. Each one is an in-basket, an AI role-play simulation, a practice drill or a decision game. Also, every one can be rebuilt around your own scenarios.

Leadership decisions

In-basket

01Delegation in-basket Live sample
02Time allocation: strategic versus operational
03Prioritising a crowded first week
04Strategic trade-off decisions
05Budget cut allocation
06Approving or rejecting a business case

Difficult conversations

Role-play

07Developmental feedback
08The underperformance conversation
09Coaching a reluctant team member
10Saying no to a senior stakeholder
11Resolving conflict between two reports
12Delivering a decision people will not like

Customers and commercial

Role-play

13Customer escalation call
14Complaint recovery
15Consultative sales discovery
16Price and contract negotiation

Hiring and people processes

Practice

17Structured interview practice
18Performance review conversation
19Exit and retention conversation
20Onboarding a new joiner

Crisis and change

Decision game

21Production or service outage war room
22Supplier failure response
23Announcing a reorganisation
24Data breach first hour

Need a scenario that is not on this list?

We build simulations for any situation you can describe, using your own cases, policies and expert answers.

Ask for a custom simulation

In a live session

How a live AI simulation training session runs

The website sample is for one person. In a programme, however, groups work the same simulation together. As a result, AI simulation training stays under the facilitator's control.

Before

Group workspaces

First, each group gets its own workspace and a passcode. Therefore teams work together, and nobody sees another group's answers.

During

A facilitator dashboard

The facilitator watches progress arrive from every group, so they know who is stuck and who is ready.

During

Reveal on cue

Expert answers stay hidden until the facilitator reveals them. As a result, people commit to a decision before they see the model.

During

AI coaching

Also, AI coaches written work, such as a handover or a difficult conversation, against the expert model in seconds.

After

A debrief report

Finally, each group gets a report of its choices, scores and differences. In addition, the facilitator sees patterns across the whole room.

Anywhere

Any room, any platform

Likewise, the same simulation runs in a training room, or online on Zoom or Teams.

The debrief is where learning happens. So the facilitator spends the session on discussion, not on marking.

How we build one

How we build simulation-based learning for your programme

Overall, a simulation is only as good as its expert model. So we start with your best people, not with software. In effect, we turn what they know into a scenario others can practise on. Scenario-based learning only works when the scenario feels real, so we write it in your context.

Because the scoring rules are written down, results stay consistent between groups and between sessions. Likewise, you can change a scenario when your business changes.

We also build AI roleplay for conversations, such as feedback or a customer complaint. In an AI role play for managers, AI plays the other person and coaches your learner's words. That is experiential learning with AI at its most direct.

Choose the moment

First, we pick the situation where judgement matters most, such as a tough customer call.

Capture the expert model

Next, your best people tell us what good looks like. We write it down, with the reasons, so every answer can be explained.

Build the scenario

Then we write the situation with your context, names and constraints, and set the scoring rules.

Rehearse with your people

After that, a small group tries it and we adjust anything that confuses or misleads.

Run it and debrief

Finally, we run it inside your programme, in the room or online, and lead the debrief.

Handled with care

Responsible AI simulation training: four design rules

A written expert model

First, every answer is scored against a model your experts have approved. As a result, scoring does not drift from one session to the next.

Fictional by design

Next, names, companies and situations are fictional. So nobody practises on a real colleague.

The facilitator stays in charge

AI coaches the words. However, the facilitator decides what to reveal, what to discuss and how to debrief.

Not used to train AI models

We build on AI services whose business terms exclude training on customer data. As a result, your scenarios stay yours.

We design data handling with your legal team, with India's Digital Personal Data Protection Rules in mind. See the Press Information Bureau release on the Rules, notified in November 2025.

Where it fits

Where simulations fit in the wider Seven system

AI simulations for learning are one way to practise. So we pair them with the other tools that make practice stick.

Custom AI Tutors

Practise one skill at any time, between sessions. Tutors keep the learning alive after the simulation ends.

AI Readiness Diagnostic

See where practice is thin. The free assessment scores practice and behaviour change as one of six dimensions.

First-Time Manager programme

New managers rehearse delegation and difficult conversations before they face them.

Coaching Skills for Managers

Managers practise coaching conversations, with AI coaching on what they say.

AI-Based Competency Assessment

Hiring for a role instead of developing a leader? That is a different tool, built for candidates.

AI Powered HR Analytics

Join simulation results to workforce data, to see whether practice changes outcomes.

At a glance

FormatSimulations built into in-person and virtual programmes, plus custom builds

Live sampleDelegation in-basket, free, about ten minutes

Use cases24 ready to build, and any scenario you can describe

LanguageEnglish, with Indian names and settings

Led bySenior practitioners, with 19+ years in HR and organisation development

Where we workSince we work from Mumbai, we serve organisations nationwide. We run AI simulation training Mumbai teams book, and we also serve Bengaluru, Delhi NCR, Hyderabad and Pune.

Not sure which skill to start with? Try the sample first. As a result, you will know what your people would experience.

Start with a programme

Tell us which programme should include a simulation

Name the programme and the skill. Then we will suggest a use case for your AI simulation training, say what we need from your experts and explain how it would run.

First, you tell us the programme, the audience and the skill.

Next, we suggest a simulation and a format.

Then, we scope the build with your experts.

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Common questions

AI simulation training: common questions

What is AI simulation training?

AI simulation training is practice in a realistic, scored scenario, with AI coaching on what the learner wrote or decided. Seven builds it into in-person and virtual programmes, as leadership simulation training and as practice for other skills. As a result, people practise before the situation counts.

How is it different from a normal role play?

A normal role play gives each person one turn, with feedback from whoever watched. An AI role-play simulation, by contrast, lets everyone practise. It also scores the result against an expert model, then coaches the words in seconds.

What is an in-basket exercise?

An in-basket exercise, also called an in-tray exercise, gives a learner an inbox of competing requests. Then they decide what to do with each one. Our delegation in-basket adds an authority line and a handover message. As a result, you see the quality of delegation and not only the choice.

Does the free sample store my answers?

First, your inbox choices stay in your browser. However, the handover message is sent to an AI service only to generate your coaching, and we do not store it. If the AI is not available, the sample falls back to a keyword check and says so.

Can you run it online as well as in person?

Yes. The same AI simulation training runs in a training room, or online on Zoom or Teams. Groups work in their own workspaces, and the facilitator sees results arrive.

Can you build a simulation around our own scenarios?

Yes. We start with your best people, capture their expert answers and write the scenario in your context. In fact, our 24 use cases are a starting point, not a limit.

Can simulations be used for hiring?

In short, this page is about learning and practice. For candidates, we use a separate tool, the AI-Based Competency Assessment, which scores real work scenarios against a role.

How do you know it works?

In a live session you see what each group chose and wrote, and how it differed from the expert model. We then recommend a follow-up, such as a repeat simulation or a manager check-in. In that way, you can see whether behaviour changed.

What does it cost?

First, we scope the build in a short conversation. Then we price it on the use case, the number of groups and whether it is ready-made or custom. So there are no open-ended fees.

Let your people practise before it counts

Try the sample in ten minutes. Then tell us which programme should include AI simulation training.

Try the delegation simulation Ask about a simulation