Top 22 Custom AI Roleplay Options for Enterprise L&D Teams

Custom AI roleplay involves three key responsibilities: creating the scenario, checking the feedback and maintaining its accuracy. Simply adding company terms to a generic script doesn’t achieve much. Custom work becomes worthwhile when the setting genuinely influences the learner’s decisions—perhaps through an authority relationship, operational constraints or required behaviors.

The 22 providers below handle customization differently. Some work with you to agree on a design brief; others provide your team with an authoring tool or generate a draft from your documents. Two providers allow learners to describe an immediate situation. For broader platform considerations, see AI roleplay for manager skills practice; the comparison hub addresses coaching options.

Key takeaways

• Torch operates as a leadership coaching and alignment platform. Its learning-design team scopes custom practice scenarios and assessment criteria, offering a scored 17-scenario library alongside human coaching.
• Mursion and Attensi offer both scenario production and design or consultancy support. Meanwhile, Yoodli, Bodyswaps, Exec, ELB Learning, Second Nature and Inspigo let teams work within their own authoring environments.
• Virti, Skillsoft, Retorio, Zenarate and Shiken use documents or prompts to generate scenarios, shifting the main effort from drafting to reviewing and refining.
• BetterUp Grow, Coachello, Ovida and Virtual Sapiens structure practice around organizational standards, competencies or a specific methodology, rather than beginning with a blank editor.
• Writing a custom rubric doesn’t automatically validate it as an assessment. Be sure to check several acceptable responses, use it initially for development purposes only, and agree on who can revise it after launch.

Decide what actually needs to be custom

• Does the setting alter the task? A conversation about a missed deadline typically requires standard skills. However, a missed handoff between regulated operations teams involves particular decision rights, escalation limits and documentation duties. Reserve commissioned work for that second situation; a library exercise can address the first.
• Choose a service, an authoring tool or both. A small L&D function with limited design capacity will benefit more from a scoped service. Instructional designers handling frequent changes may prefer direct editing control. Regardless, they still need to specify what successful practice looks like.
• Assign ownership early. Assign factual accuracy to a business owner and learning quality to an L&D owner. Determine when a revision significantly changes the task, making old and new scores no longer comparable.
• Specify the work around the feature. Simply creating scenarios doesn’t tell you about the design services, review rounds, acceptance criteria, maintenance or reuse rights you’ll receive. Make sure you get all five of these details in writing from every potential provider.

For coach-facilitated sessions, agree who will lead the practice, how the custom scenario fits the session, and what feedback the coach can access.

1. Torch

Through AI-powered learning, Torch’s learning-design team scopes custom scenarios and assessment criteria, alongside the scored Praxis Labs by Torch library. Spark provides separate unscored reflection and conversation rehearsal. A specific workplace conversation supplies the brief for the exercise.

The practice experience.

• A leader can choose an existing Torch scenario or create their own rehearsal for an upcoming conversation, then receive feedback and select an approach to implement in their actual work environment.
• Agree on the practice format, feedback criteria and reporting before development begins.
• Custom scenarios and assessment criteria are services available from Torch, similar to what many other providers in this space offer.

The library, design support and coaching connection.

• The Praxis Labs by Torch library contains 17 workplace scenarios, each lasting approximately seven minutes. These scenarios evaluate specific skills using a four-level rubric: Emerging, Growing, Advancing, and Excelling. Every skill assessment generates a coaching report with one suggested adjustment, providing a foundation for any custom work you develop.
• Torch’s learning-design team collaborates with clients to develop custom scenarios and their evaluation criteria within a defined service agreement. This is structured as a collaborative design project rather than a self-service tool for creating scored scenarios.
• Spark can be used independently or alongside Torch coaching. The separately scoped custom practice can also complement a larger manager development initiative.

Be sure to clearly define the deliverables, review rounds, acceptance criteria, and maintenance plan for your engagement. Note that Torch’s offer doesn’t include universal self-service authoring for scored scenarios, and unscored rehearsal activities remain distinct from scored practice sessions.

Custom context and feedback are widely available: Mursion offers organization-specific simulations, while VirtualSpeech provides an authoring tool. Torch’s fit is a scoped design relationship connected to leadership development and optional coaching. The choice is who will build, approve and maintain the scenario, rather than whether a platform can insert company terminology.

2. Mursion

Mursion’s enterprise offering tailors simulations to match your organization’s specific context, language and learning materials. It offers both AI-powered and human-powered simulation models. Consider it when the interaction quality is critical to your learning objectives—where the counterpart needs to challenge learners while providing coherent responses. Be sure to determine which model will deliver your custom scenario and how Mursion and your team will divide the design responsibilities. The costs and facilitation requirements vary between the two approaches.

3. Yoodli

Yoodli’s roleplay documentation details how to create and customize AI conversations within their product, including the context for these interactions. Your team handles the configuration, revision and quality-checking of scenarios, providing internal authors with a method to update practice materials without needing to commission a vendor project for each modification. If you require instructional design services, you’ll need to arrange those separately. Before launching a pilot, assign responsibility for approval and maintenance, and define which revisions might compromise comparability with earlier scores.

4. Virti

Virti AI Virtual Humans generates scenarios from your training materials or text prompts. Its creation guidance guides authors through reviewing the proposed objectives and adjusting a character’s traits and context. While generation can reduce drafting time, thorough review is essential to ensure that draft meets your needs. Have a learning designer, subject-matter expert and representative learner check for any invented assumptions, factual drift or character behaviors that might distract from the learning objective.

5. Attensi

Attensi’s content creation provides AI roleplay authoring, expert consultancy and other practice formats. This comprehensive approach can support a program where conversation is just one component. For instance, a new procedure might require both a procedural exercise and a subsequent manager discussion. Be sure to distinguish between the authoring purchase and consultancy services. Clarify who will produce the initial version, which parts your team can maintain, and what documentation and support will accompany editing access.

6. VirtualSpeech

VirtualSpeech’s custom roleplay tool develops custom communication scenarios. It’s designed for buyers who want to adapt the setting and demands of a conversation rather than completely redesigning a learning system. Consider creating two exercises with similar wording but different decision boundaries: in one, the decision is final; in the other, consultation can still influence the outcome. The counterpart and feedback should respond appropriately to this difference. Establish which elements can be edited and how custom feedback criteria are implemented.

7. Skillsoft

Skillsoft’s LX Design Studio develops custom learning assets, including CAISY AI simulations, from your source material. The same policy or framework can be used to create a short course, a practice conversation and follow-up work. This approach is relevant for enterprises already building content within Skillsoft. A source error also has several routes to learners: a misinterpreted exception could appear in every generated asset. Review that interpretation first, then confirm your subscription entitlement and author permissions.

8. Bodyswaps

Bodyswaps Open Conversation lets you create tailored scenarios with custom assessment criteria. It is a direct authoring option for teams with a clear conversation to rehearse. Before building your scenario, clearly define who has authority and what purpose you’re aiming for—a peer asking for help faces different challenges than a manager assigning work, even when discussing the same topic. This tool doesn’t automatically come with learning design partnership support, so you’ll need to assign someone to write, approve, and maintain both the scenario and assessment criteria.

9. Exec

Exec allows teams to build custom scenarios with configurable AI characters, allowing them to represent familiar workplace situations and define the counterpart’s role. Start by clearly outlining what you want to achieve with the conversation. Only include character details and context that directly impact how the interaction should unfold—a detailed character description alone isn’t enough to define the learning task. If you need additional design services, be sure to request them in the proposal, as the feature listing doesn’t specify what’s included.

10. Retorio

Retorio transforms your organizational materials into interactive scenarios. It helps turn guidance into practice by allowing authors to verify how the source material has been interpreted. Remember that policies rarely cover everything the learner knows, what the other person needs, or which decisions are still open—these details need to be provided. Test the system with a document that includes an exception, and ask the provider to demonstrate how a reviewer would spot any misinterpretation. Make sure the proposed package supports your specific management use case.

11. Ovida

Ovida assesses roleplay performance against your organization’s behavioral criteria. This is relevant when customization focuses as much on evaluating conversations as on creating their settings. Distinguish between required behaviors and preferred communication styles. Learners might check understanding in several reasonable ways, and your criteria should recognize each approach. Establish the scope of scenario configuration, expert input, and any use of real conversations.

12. BetterUp

BetterUp Grow is BetterUp’s AI coaching solution. Its configurable roleplays help align practice with your organizational standards, incorporating your company’s language and expectations into a broader AI coaching experience. You can shape conversations using your existing leadership framework. Determine separately whether authors can control the conversation’s objective, the counterpart’s behavior, and the feedback criteria. Each level of control requires different review processes, and note that neither unrestricted authoring nor commissioned design services are included in the basic description.

13. Coachello

Coachello tailors roleplay scenarios to match your organization’s competency model and context. This is ideal for buyers working with clearly defined leadership expectations. A broad value like collaboration needs specific observable behaviors before it can be assessed—for example, consulting with another function before committing resources. Find out who converts each competency into a practice task and whether internal authors can modify these scenarios themselves or must submit change requests through Coachello.

14. ELB Learning

ELB Learning’s Rehearsal offers an editor for creating custom AI roleplay environments. This tool lets authors build and manage their own practice library. When planning, consider how updates might affect both new builds and existing content—if you modify a policy or escalation route, you’ll need to revisit the goals and feedback requirements too. Remember that your team remains accountable for both the quality of the design and the review process.

15. Elevate Leadership

Elevate Leadership enables teams to build shared scenario libraries while also allowing individual managers to create situational exercises for immediate preparation. The platform offers two approaches: assigned library exercises that can give a cohort common criteria, and manager-created exercises that are more personalized and less directly comparable. Before collecting scores, decide how you’ll report on these different approaches and establish guidelines for managers regarding sensitive situations.

16. Virtual Sapiens

Virtual Sapiens supports customized roleplays and feedback frameworks designed to align with a provider’s specific methodology. This approach works well for learning partners and L&D teams that already have an established communication model. The effectiveness depends on translating the model’s labels into observable behaviors and identifying evidence for each rating. Be sure to clarify who has editing permissions for the framework and understand how new versions might affect existing reports.

17. Zenarate

Zenarate Perform provides self-service simulation authoring with source-driven updates, with a broader frontline focus than the management examples discussed here. It’s worth examining the maintenance workflow closely. If an escalation threshold changes in a source document, determine whether the update also modifies the learner’s authority, the counterpart’s response, and the assessment criteria. Be sure to confirm both the fit for leadership scenarios and the human approval step in the process.

18. Shiken

Shiken generates roleplay scenarios from documents or prompts, allowing authors to define custom evaluation rubrics within the same workflow. When evaluating this tool, review the scenario and rubric independently. A convincing conversation might still reward the wrong behavior—such as persuading an employee to agree when the intended skills are clarity and listening. Establish a process for authors to revise criteria after receiving feedback that proves unhelpful.

19. LinkedIn Learning

LinkedIn Learning allows users to create, edit, and share personal roleplay scenarios. This is a learner workflow for preparing specific conversations. It does not establish a governed organizational library with custom assessment controls. Be sure to check the current enterprise availability and how the sharing features function in your context.

20. Udemy Business

Udemy Business explains how authors can add role-playing exercises to custom courses. Teams can use this feature to reinforce content they already own. When considering this option, identify what specific skills the conversation helps learners practice beyond what’s covered in the preceding lesson, and verify the current entitlement and author permissions.

21. Second Nature

Second Nature gives creators detailed control over context, personas, and evaluation criteria. When designing scenarios, select a few key dimensions for learners to focus on. For example, in a performance discussion, you might include factual explanation, exploration of the employee’s view, and agreeing on next steps as three actionable criteria—ten would be harder to apply. Since the platform also serves sales training, request a demonstration specifically tailored to the manager or HR use case.

22. Inspigo

Inspigo lists custom scenarios, AI personas and evaluation standards. Examine how these elements work together. For a cross-functional disagreement, the counterpart needs a legitimate position and the rubric must recognize the learner’s limited authority. Establish who creates the first version, who approves revisions and which maintenance tasks your team can handle.

Compare the 22 options

Commission one complete scenario before commissioning a library

• Write a usable brief. Specify the learner’s role, objective, counterpart’s perspective, known facts, information to discover and decisions beyond their authority. Add the few behaviors to practice. This should make the proposal concrete without scripting the conversation.
• Set acceptance criteria first. The exercise should remain in context, accept more than one reasonable response and connect feedback to observable behavior. Test strong and weak responses, an appropriate response phrased differently, and a sensible question the designer did not foresee.
• Review the rubric separately. Experts may agree on the desired outcome while rating the same conversation differently. Resolve those differences before relying on a score. Initial use should support development; hiring and promotion require separate validation.
• Price the lifecycle and agree rights. Include discovery, design, review rounds, setup, learner support, localization and later revisions. Record reuse and export rights in writing; commissioning customization does not automatically transfer intellectual property.

Custom practice has a useful research starting point. Taylor, Russ-Eft and Chan’s meta-analysis of 117 behavior-modeling studies found benefits for learning and smaller effects on job behavior and business results. Transfer was stronger in studies using learner-generated practice scenarios and goal setting. That supports testing a scenario drawn from real work, but this older training research did not evaluate today’s AI roleplays or validate automated scores.