AI roleplay tools can improve performance, but the proof that counts is your own. Most published results come from vendors, so test a tool on your team against your own baseline before you commit. Itero (iteroapp.ai) scores practice and live calls on the same scorecards, so you can measure whether practiced skills reach customers.
Last updated: November 3, 2026. Itero is not affiliated with iTero, the intraoral dental scanner made by Align Technology.
This article covers what the evidence says, how to run a fair test on your own team, what buyers complain about, and how to build a business case with your own numbers.
What evidence is there that AI roleplay works?
Vendors, including us, produce most of the published results for AI roleplay, so read them as a starting point rather than proof. Vendor figures come from their own customers and their own definitions of success.
Broader training research points in a useful direction. A 2011 meta-analysis of computer-based simulation games in Personnel Psychology found that trainees learned most when the simulation taught actively and sat inside a wider training program, rather than serving as the only method (sources).
That research covers simulations in general, not AI roleplay specifically, but it matches what to look for: active practice, built into a program, with a debrief. The strongest evidence for your decision is a test on your own team.
How do you run a fair test on your own team?
A fair test of AI roleplay compares live-call behavior before and after practice, on a skill you chose in advance.
- Pick one team and one conversation. Choose a skill you can score, such as discovery or a required disclosure.
- Set the baseline. Score a batch of live calls on the scorecard you plan to use (how to set a baseline).
- Agree the decision rule first. Write down the change that would justify buying, and the number of scored calls per rep you will judge it at.
- Build from your material. Use your own playbook and transcripts, because a generic scenario tests the wrong thing.
- Compare live calls. Look at the trained criteria on live calls, not only the practice scores.
Compare with a similar group that hasn't started, if you can. Check AI scores against your own reviewers as well (how AI scoring compares with human QA). For more on practice at scale, read does role play work.
What are the common complaints about AI roleplay software?
The common complaints are about realism, upkeep and use over time. Each one can be tested before you buy AI roleplay software.
| Complaint | Why it happens | How to test it |
|---|---|---|
| The AI customer feels scripted | Generic personas and thin scenarios | Have your best reps run your hardest conversation |
| Scenarios don't match our business | Content isn't built from your material | Ask the vendor to build from your playbook or transcript |
| Content goes stale | Updates take too long or have no owner | Request a script change and see how it gets made |
| Reps stop using it after onboarding | Practice isn't tied to anything they do | Ask how live-call gaps lead to practice |
| Scores feel unfair | Vague criteria or no evidence behind a score | Check whether each score shows the moment in the conversation |
| Costs grow with headcount | Per-seat pricing on bursty practice | Model a hiring wave against the pricing |
Itero's answers to these are scenarios generated from your documents, updates in plain English through Agent Skills and the public API, and practice tied to live-call scores on the same scorecards. Each score has transcript evidence behind it, and pricing is usage-based. No tool can guarantee that reps keep practicing, so name an owner for the AI roleplay program.
How realistic are AI customers compared with roleplaying with a manager?
AI customers are realistic enough for repeat practice on defined conversations, and managers are better at judgment and context. Neither is the same as a live customer, and each does a different job.
- AI customers are consistent: every rep faces the same objection at the same difficulty, as often as needed.
- AI customers are low stakes: reps can fail in private, which a manager in the room makes harder.
- Managers read context: a good manager can improvise, draw on experience and catch what a scenario doesn't cover.
Use both: AI for the repetitions and managers for the debrief.
In Itero, you define personas and a Communication Style, reps see CRM-style context beside the conversation, and voices are available in English and Spanish. The test that matters is whether your best reps say it sounds like your customers. See AI Role Play.
How do you build the business case for AI roleplay?
Build it from your own numbers, because a vendor's average doesn't describe your team. Use these calculations and keep each input you can't confirm as a stated assumption.
- Ramp: weeks saved per new hire, multiplied by hires per year and the weekly value of a fully ramped rep.
- Manager time: hours a week spent on roleplay and call review that can move to coaching, multiplied by manager cost.
- QA capacity: calls scored today against calls handled, plus the analyst hours you would need to reach full coverage by hand.
- Repeat misses: how often the same compliance miss recurs. Report the count and leave it out of the dollar total unless your compliance team has a figure.
Then set that against the cost. Itero's pricing is usage-based rather than per seat, so model your expected practice minutes and scored conversations, including hiring waves and launches. Itero publishes no prices, and pricing is quoted per team.
What should you check before you sign?
Check the items that are expensive to discover later.
- Security: Itero is SOC 2 Type 1 attested, and the report is shared on request.
- Recording consent: ask how consent works if you plan to record conversations. In the Itero mobile app, consent is built in and can't be skipped (recording consent laws).
- Your systems: confirm how calls reach the platform and what goes back to your CRM (integrations).
- Implementation: ask who builds the first scenarios. With Itero, we build from your material and run the rollout, and your team checks it sounds real.
Pick one team and one conversation, and score a batch of live calls before anyone practices. Request a demo to talk through that test.
