Role-play
Branching conversations shaped by the learner’s words, choices and the scenario persona.
Conversational AI
Help employees and customers find answers in your approved information. We design conversational experiences around the questions people ask, the systems they use and the point where a person should take over.
Explore a question
Illustrative response
“Start with your joining instructions and team schedule. Your manager can confirm any role-specific requirements.”
Source to connect: your approved onboarding guide.
Scripted interaction preview. No questions or personal information are sent to an AI service.
Start with a real audience, an approved source of knowledge and a meaningful next step.
Branching conversations shaped by the learner’s words, choices and the scenario persona.
Transparent feedback connected to observable behaviours and approved standards.
Digital guides that help employees or customers find and apply trusted information.
Business applications
Start with a bounded use case: finding a policy, understanding a product or navigating an onboarding task. Agree which sources the assistant may use, how it handles missing information and when it transfers the conversation to your team.
For rehearsing sales, leadership or customer-service conversations with feedback, explore AI role-play and coaching. For a visible character on a screen or in XR, explore digital humans.
Responsible design
Define what the AI may use, which claims require approval and how content stays current.
Test rubrics across accents, communication styles and valid ways of completing the task.
Collect only the information needed for learning, with clear access, retention and escalation rules.
Answers
Clear answers for teams evaluating the right approach.
It uses responsive AI characters to let people practise realistic conversations and receive feedback in a repeatable environment.
Common uses include sales, leadership, customer service, onboarding, conflict management, interviews and product conversations.
Projects define approved knowledge, data boundaries, transparent feedback criteria, human oversight and testing across language and user groups.