Before You Buy: 5 Checkpoints for Evaluating AI Roleplay Platforms [Webinar Recap]

AI roleplay has officially crossed from “interesting experiment” to enterprise essential. Mark Cuban recently told Inc. that AI will train employees the same way pilots learn, in simulators, and Gartner just published its first Market Overview naming AI roleplay one of the fastest-growing categories in enterprise learning (with Yoodli on the list).

But when a category moves this fast, the noise moves faster. Every vendor promises realism, integrations, and analytics. So how do you tell the difference before you sign a contract?

That’s exactly what we tackled in our live webinar, Before You Buy: 5 Checkpoints for AI Roleplay Platforms, hosted by Betsy McKibbin (Head of Marketing), Tom Craven (Head of Enterprise Sales), and Moon-Tae Kim (Solutions Engineer). In 30 minutes, we walked through a platform-agnostic buyer’s guide and demoed three of the five checkpoints live inside Yoodli.

Here’s what we covered, and what to write down before your next vendor evaluation.

The 5 Checkpoints for Evaluating an AI Roleplay Platform

1. Reality and customization. Does the platform reflect your reality, or a generic one?
2. Innovation and scale. Has it been proven with thousands of learners, and where is the roadmap headed?
3. Integration and measurement. Does it fit where your people already work, and can you prove impact?
4. Versatility and growth. Can it create value beyond sales enablement?
5. Continuous coaching. What happens after the practice session ends?

As Tom put it: the number one reason roleplay investments fail is adoption. When roleplays don’t mirror the reality of the people using them, learners disengage, and teams end up re-evaluating the same purchase a year later.

Checkpoint 1: Does the platform reflect your reality?

Three questions to write down:

• Does it adapt to your sales motion and L&D methodology, or do you adapt to it?
• Is it teaching from your materials, or from whatever the model generates on the fly?
• Can your team create content at AI speed, or does every roleplay take weeks?

Moon demonstrated this live, building a roleplay from a single prompt plus one uploaded document. Yoodli’s agentic builder asked clarifying questions and took the scenario from zero to 80% in a couple of minutes, with the last 20% (rubrics, personas, assets) fully customizable.

Two features drew the most attention:

• Strict mode, which grounds the AI in your uploaded source material. If a learner asks something the source docs don’t cover, the AI says so instead of improvising. It’s a guardrail against teaching your team the wrong thing.
• Custom rubrics, with rated, binary, and compound goals you define, from minimum score to maximum score and everything in between, so measurement matches your methodology, not a one-size-fits-all framework.

Checkpoint 3: Does it fit where your people already work?

Moon’s litmus test: ask where your people have to go to learn, get nudged, and build roleplays. “If every answer is ‘our platform,’ you’re going to be fighting for adoption for the rest of the contract.”

The live demo showed Yoodli meeting learners where they already are:

• Inside the LMS: a Yoodli roleplay embedded directly in Docebo, with scores syncing back automatically so L&D can report from the system they already use.
• Inside Slack: a manager-assigned roleplay launched straight from a Slack notification.
• Inside Claude via MCP: Moon asked Claude to build a practice roleplay for an upcoming meeting. It pulled context from Gmail, Calendar, and Drive, then generated a ready-to-run Yoodli roleplay.

One more evaluation question that separates platforms: can the data leave? Out-of-the-box analytics are table stakes. The real power comes from marrying skill progression data with your internal datasets: ramp time, quota attainment, win rates.

Checkpoint 5: What happens after the practice?

Practice only matters if the skills show up in real conversations. The final demo showed Yoodli’s continuous coaching loop:

1. Yoodli analyzed a rep’s real calls from the prior week.
2. An AI coach (“Coach Cora”) opened a 1:1 session and pointed to the exact moment the rep uncovered a prospect’s pain, then listed features without connecting them back to that stated need.
3. The coach replayed the moment, discussed what to do differently, and auto-generated a follow-up roleplay targeting that exact gap.

That’s the loop: learn, practice, do, prove, and then back to practice again.

What attendees asked (live Q&A)

The dominant theme in the Q&A: integrations. Buyers don’t want another standalone tool. They want AI roleplay woven into the stack they already use.

Does Yoodli connect to Claude and other LLMs via MCP?
Yes, demoed live. Learners can generate roleplays from inside their LLM using context from email, calendar, and documents.

Does Yoodli integrate with Glean?
Yes. Glean supports MCP servers, and Yoodli customers are already using this today.

Does Yoodli integrate with Gong?
Yes. Recorded calls can feed the continuous coaching workflow, and more conversation intelligence integrations (including Microsoft Teams) are actively in the works.

Do customers bring their own scoring rubrics, or does Yoodli provide them?
Both. Yoodli offers validated frameworks, but most customers build their own, and the rubric builder supports that down to the goal level.

How fast can you really build a roleplay?
Zero to 80% in three to four minutes. The final polish (rubrics, assets, a test run) takes about an hour.

Get the buyer’s guide (and see the other two checkpoints)

We only had time to demo three of the five checkpoints live. Want to see innovation and scale, and versatility and growth, applied to your team’s use case?

• Download the 5 Checkpoints Buyer’s Guide: the full platform-agnostic checklist to bring to your next evaluation
• [Book a customized demo]: we’ll build a roleplay live from your own materials

Related reading: Yoodli Named in the 2026 Gartner Market Overview for B2B Sales AI Roleplay Applications · Mark Cuban on AI Training in Inc.