Let people practise high-stakes conversations with a realistic AI counterpart — by text or voice — and get feedback against your own criteria after every run. Start from 40+ templates or describe your own scenario.
40+ templates · Rubric scoring · Voice and talking avatars

Roleplay · persona · Mentor feedback
BACKED & RECOGNISED BY
techstars_TechCrunch Disrupt · Top PickBSH Future HomeDigital MagicsLazio InnovaWhy practice matters
Negotiation, feedback and objection handling only improve with repetition, but live practice with a trainer is expensive and rare. Rocky gives every employee or client a safe partner to rehearse with, grounded in your company knowledge, with an honest assessment afterwards.

Start from 40+ templates for common workplace conversations, or describe a situation in plain language and the AI builds the roleplay — including who the counterpart is and what they want.

Set the personality, mood and difficulty of the AI character — sceptical buyer, defensive employee or demanding customer.

Each run is scored against the criteria you define, with specific feedback on what to do differently next time.

Practise out loud with a talking avatar on web and mobile — closer to the real conversation than typing.

Scenarios can draw on your products, policies and content, so practice reflects your real situations.

Place roleplays inside course chapters or coaching modules, right where learners need to apply what they learned — and track skill progress over repeated runs.
What changes
People rehearse the day before the real conversation — as often as they need, without anyone watching.
Explore the scenario builderHow it works
Templates get you live on day one; your own scenarios make it fit.
Choose one of 40+ templates or describe your own situation in plain language.
Decide how sceptical, emotional or demanding the AI character is.
Learners rehearse as often as they like, with a talking avatar if they prefer.
Learners get rubric-based feedback; coaches and L&D see progress over time.
For organisations
Give every rep, manager and service agent a practice partner built on your playbook and policies.
For HR & L&D teamsFor coaches
Clients rehearse the conversations you prepared together, and you see how it went before the next session.
For coaches & mentorsFor individuals
Interview, salary talk or difficult feedback — practise it first, then do it for real.
Get the personal appCoaching-grade guardrails: ethical, solution-focused conversation flows aligned with your methodology.
AI roleplay training is soft-skills practice in which an employee rehearses a high-stakes conversation against a generative AI counterpart that stays in character, adapts, and then scores their performance — replacing peer roleplay, which most people find too uncomfortable to learn from.
Traditional corporate roleplay fails for a reason everyone recognises and nobody says aloud: it's socially excruciating.
You cannot build conversational muscle memory while performing in front of colleagues who'll still be your colleagues on Monday. Performance anxiety crowds out learning entirely. And the feedback is polite, therefore useless — "good job, maybe more eye contact."
E-learning replaced this with videos and quizzes, which fail differently: they test recall, not behaviour. You cannot learn to handle a hostile customer by watching a video about handling hostile customers, any more than you can learn to bat by reading about batting.
What works is the batting cage: high-volume, private, low-stakes repetition with immediate specific feedback. AI roleplay is the first technology that makes that economically possible for everyone rather than a coached few.
Yes. Upload your rubrics, product specs, policies and methodology, and the AI buyer objects using your real competitive dynamics while performance is scored against your criteria.
There are four levels of AI roleplay, and knowing where a vendor stops tells you what you're buying:
1. Scripted
Branching dialogue tree. Same path every time.
2. Generative, generic
Plays a role convincingly but knows nothing about your business.
3. Generative + company context
Behaves like your buyer. Scores against your rubric.
4. Context + coaching memory
All the above, plus aware of the learner's goals and history.
It assesses. The AI evaluates not only what you say but how you say it — pacing, filler words, delivery — and scores against your rubric.
A roleplay without assessment is theatre. You perform, it ends, you learn nothing except that it happened.
The assessment covers both dimensions:
What you said — did you uncover the pain, handle the objection, hold the boundary, structure the feedback? Scored against your rubric, not a generic one.
How you said it — pacing, filler words, delivery, confidence.
The rubric point is the important one. Generic scoring rewards generic behaviour. If your organisation has a specific feedback model or selling methodology, the assessment should measure against that — otherwise you're training people toward someone else's standard while telling them to follow yours.
Yes. A roleplay is aware of the learner's goals and coaching history and feeds back into their development plan — so practice is a loop, not an isolated drill.
This is level 4, and it's what most vendors don't reach.
Concretely: an employee sets a goal in Monday's coaching session — give harder feedback without damaging the relationship. Tuesday's roleplay prioritises that dimension in both scenario and scoring. Friday's summary shows whether it moved. Next Monday's coaching picks up from the evidence.
Compare a standalone roleplay module: someone does a simulation, gets a score, and nothing anywhere else in their development is aware it happened. The score means little because nothing connects to it.
Behaviour change is a loop — goal, attempt, feedback, adjust, repeat. A roleplay disconnected from goals and coaching has removed three of the four steps.
Yes. Full white-label deployment with your branding, custom voice, avatars, domain and a backend dashboard tracking skill progression across the workforce.
For consultancies, training providers and large HR functions, the branding is a commercial asset rather than decoration.
A training provider can deliver AI roleplay as their product, with their scenarios, their assessment rubric and their brand — rather than reselling a platform their client could buy directly. That's the difference between a reseller margin and a product business.
For an internal L&D function, it's the difference between "HR bought a simulation tool" and "this is how we build capability here." Employees respond to the second framing considerably better, and adoption reflects it.
Included: your logo and colours, custom domain, custom voice-over, localised avatars, branded notifications, and your analytics dashboard.
Yes. Roleplay sessions sync across mobile and desktop, so an employee can start at their desk and finish on their commute.
Continuity matters more than the feature sounds. Practice interrupted by a device change is practice abandoned — and most working days are a sequence of interruptions.
The pattern in practice: a rep starts a scenario at their desk between calls, gets pulled into a meeting, finishes it on the train. Same session, same context, same feedback thread.
The AI also carries prior coaching conversations across devices, so feedback stays personalised to the growth path rather than resetting with the screen size.
See the builder, the roleplay engine and the coach panel in a walkthrough — or start building right now.