Prisma for Business

Practice the conversations that are hardest to get right

Train difficult conversations, team dynamics, and structured candidate practice through real dialogue with an AI that plays any role you define.

1 · Difficult conversation coaching

Let managers rehearse the conversation before they have it

Performance reviews, layoffs, conflict resolution, disciplinary conversations — these go better the second time. Prisma gives a manager a realistic conversation partner to practice on, privately, before the real thing.

1

Create the agent

Build a character who reacts the way a real employee, peer, or client would — defensive, upset, or pushing back — with instructions on the specific situation being practiced.

2

The conversation

The agent responds to what the manager actually says, reacting realistically rather than following a fixed script — so the practice reflects a real, unpredictable conversation.

3

The feedback

The AI points to specific moments — a clear opening, a missed chance to check in, a defensive reply that could have landed better — and suggests what to try differently next time.

4

The analysis

Define what a good conversation looks like as variables — whether specific techniques were used, how the tone shifted, how the conversation was closed — and Prisma codes it automatically.

2 · Team dynamics and facilitation

Practice facilitating conflict before you're in the room

Mediating between departments, running a retro after a rocky project, facilitating a disagreement between two strong opinions — Prisma lets a facilitator rehearse the dynamic with an AI that plays multiple competing perspectives realistically.

1

Create the agent

Set up the agent to represent one or more sides of a team disagreement, with instructions on each side's position, incentives, and sticking points.

2

The conversation

The facilitator works the disagreement in real time — asking questions, proposing compromises — while the agent holds its position the way a real stakeholder would.

3

The feedback

The AI reviews how the facilitator managed the disagreement — where common ground was found, where a proposal remained too vague to act on — and writes up what worked.

4

The analysis

Score the facilitation as variables — whether a concrete next step was agreed, how many times each side's concern was acknowledged — so a training program can compare across sessions.

3 · Structured candidate conversations

A consistent, structured conversation to support — not replace — your hiring judgment

Prisma runs a structured practice conversation with a candidate or with your own interviewers rehearsing beforehand. It produces a transcript and optional coded notes — one input for a human decision-maker on your team, never an automated hiring decision.

1

Create the agent

Set the agent up as an interviewer covering exactly the questions and follow-ups your process calls for, so every conversation covers the same ground.

2

The conversation

The agent asks the structured questions and follows up when an answer is vague or incomplete, the same way across every conversation.

3

The feedback

The transcript and a plain-language summary go to your hiring team — context for a conversation a person still leads and decides on.

4

The analysis

Code the conversation against the criteria your process already uses — as a structured, consistent starting point for the humans making the actual call.

Try Prisma for free

One simulation, no credit card, no setup. See for yourself before choosing a plan.

As a teacher Build classroom role-plays, interviews, and case simulations for your students. Try for free
As a researcher Design conversation experiments with participant codes and live observation. Try for free
As a business Practice difficult conversations, team dynamics, and structured candidate conversations. Try for free