Quick answer:
- The best AI sales training software doesn’t just run practice roleplays. It reviews your reps’ real calls too, then turns what it finds into practice.
- Ask every vendor what happens after a weak call. If the answer is “a manager reviews it,” you’re buying more work for your managers.
- Get a price before the demo, build a roleplay yourself in the trial, and write down what counts as a pilot pass before the pilot starts.
- Ask to see the manager view, not the rep view. If a manager can’t see who’s struggling in 30 seconds, they won’t come back.
It’s Thursday, and a sales manager at a 25-rep software company has just finished his third vendor demo of the week. All three AI buyers sounded great. He still can’t tell you which one would make his reps better on next Tuesday’s calls.
That’s the problem with most demos. They show you a good roleplay. They don’t show you what happens to the 40 real calls your team runs every week, or whether anyone has time to act on them. Here are the 11 questions we’d ask before buying AI sales training software for a team of 3 to 100 reps.
What does it cost, all in, for your team?
You should get a price range before anyone books a demo. Ask what it costs for your number of reps, what’s included, and what triggers the next tier. A dodge sounds like “it depends on your needs, let’s get you on a call.”
Watch for stacked costs. Some tools charge for call recording, call scoring and practice as separate products or add-ons. Gong, for example, doesn’t publish prices, and Vendr, a software buying marketplace, reports a median Gong contract of about $55,359 a year. If you need one tool to record calls and another to train reps, add both numbers together before you compare.
Does it review real calls, or only practice ones?
This is the question most buyers skip. A practice-only tool tells you how a rep does against an AI buyer. It can’t tell you what that same rep actually said when a real prospect asked, “How is this different from what we use now?”
Ask whether the software joins your Zoom, Google Meet and Microsoft Teams calls, scores every one, and shows you the scores next to practice scores. Practice and real calls should live in the same place, or you’ll never know if the practice is working.
What happens after a weak call?
This is where most tools stop. A notetaker gives you a summary. A conversation intelligence tool gives you a score and a comment field for the manager. Either way, someone still has to listen, figure out what went wrong, and set up practice.
For most managers the hours simply aren’t there. Listening back to a call costs as much time as the call did, so one review plus one coaching session per rep each week adds up to about a full workday for a manager with 8 reps, and that still covers just one call each. It shows in the data: Salesforce’s December 2022 State of Sales report found only about a quarter of reps (26%) get one-on-one coaching every week.
So give the vendor a real scenario. You’ve just hired 5 SDRs, and in their first week one of them keeps losing the prospect at the gatekeeper. Who notices, how, and what does that SDR practice tomorrow? The answer you want is that the software catches the pattern from the recorded calls and assigns a matching roleplay on its own, without a manager queuing it up.
Can reps practice before a specific meeting?
Generic practice helps. Practice for tomorrow’s meeting helps more. Ask whether a rep can pick an upcoming meeting from their calendar and rehearse against a buyer built for that company.
Picture an account executive the night before a renewal call with a customer who’s been quiet for two months. She opens the meeting, hits practice, and gets a buyer who’s hesitant about price and asks about a competitor. Ten minutes later, she’s heard both objections out loud and knows what she’ll say.
How long does it take to build a roleplay, and who builds it?
Someone on your team will end up building most of your roleplays, so build time is your real cost of ownership. “We’ll build them for you” only holds until you change your pricing or launch a new product.
Don’t accept “minutes” as an answer. Bring your own discovery script or objection doc to the trial and build a roleplay from it while you watch the clock. You should have something your reps can practice the same day, and you should be able to edit it yourself when the messaging changes.
Does the AI buyer push back like a real buyer?
A buyer who answers every question and hands over their budget in the first minute trains reps to stop asking good questions. Real buyers hold things back.
Test this in the demo. Run the same roleplay twice. The second time, ask lazy questions and jump straight to the pitch. If the buyer still tells you their budget, their timeline and the competitor they’re talking to, the roleplay is grading your reps on a test with the answers printed on it.
What does a sales manager actually see?
Ask to see the manager view, not the rep view. Picture a sales manager with 11 reps opening it between pipeline reviews. If answering “who’s struggling, and on what?” takes longer than 30 seconds, she won’t come back.
Everyone on a sales team is short on time, sellers included: in a Gartner survey of 501 sellers from late 2023, more than three in four (77%) said they have trouble finishing their assigned work efficiently. If the manager has to hunt for the answer, the dashboard becomes one more tab nobody opens.
What happens when the AI scores something wrong?
It will happen sometimes, so the real question is who fixes it and how fast. Any model scoring a nuanced sales conversation will now and then mark a good answer down.
Ask whether you can adjust the scorecard yourself, or whether every fix is a support ticket. You want scoring that matches how your team sells, not a generic idea of a good call.
How will you know a rep actually got better?
Look at one rep’s score across repeated attempts at the same roleplay, and then at their real calls on the same topic. Completion tells you who logged in. A rising score on real calls tells you who improved.
For new reps, tie it to ramp. The Bridge Group’s 2025 report on 351 B2B companies put average SDR ramp at 3.0 months, with only 60% of SDRs at quota and median attrition at 40%. Baseline your own ramp before you start, so you can see whether it moves. Our guide to AI sales onboarding covers how.
What happens to your call recordings and data?
Your calls hold pricing, objections and customer details you don’t want floating around. Ask where recordings are stored, how long they’re kept, who on your team can see them, and whether your calls are used to train anyone’s AI models.
Put the answers in the order form. “Your data is yours” isn’t a retention policy.
What does the pilot look like, and what counts as a pass?
Define the pass before the pilot starts, in writing, agreed by both sides.
Here’s a shape that works for a sales team: one team of 8 to 15 reps, every call recorded and scored for four weeks, two or three roleplays on the objections you lose deals on most, and three attempts each. Pass means most reps clear the passing score on practice, and their real-call scores on those same moments go up by week four.
The usual failure is the pilot everyone enjoys and nobody signs. Reps like it, the feedback is warm, and four months later it’s still unsigned.
How TrackPoint answers these questions
Here’s how we’d answer each one.

Price: TrackPoint’s pricing is on our pricing page, and you can try a roleplay free with no account and no sales call. Call recording, call scoring and practice come in one platform, so you’re not paying for two tools.
Real calls: reps connect a Google or Outlook calendar, and the notetaker sits in on their Zoom, Google Meet and Microsoft Teams meetings; recordings from elsewhere can be uploaded. Each call is graded against your own scorecard, and the attendees receive a recap with the agreed next steps.
After a weak call: low-scoring moments become AI roleplays on their own and land in the rep’s queue with a pass mark. If a new AE freezes when an existing customer on a renewal asks why the price went up, the next roleplay they see is a customer raising that same question until they handle it cleanly.
Before a meeting: every upcoming meeting has a Practice button that builds a roleplay for that specific meeting, researched from the prospect’s company.
Building roleplays: your own team builds them. Upload your discovery script, objection doc or a strong past call, and TrackPoint drafts the buyer and scorecard for you to adjust, so reps can practice it the same day. Pair roleplays with short lessons in training modules with due dates and passing scores, and edit them yourself whenever your pricing or messaging changes.
Realistic buyers: our AI buyers use Semantic Reasoning, so details like their budget stay hidden until the rep asks the right question.
Manager view: managers see every rep’s calls and roleplay scores in one team view, so it’s clear who’s improving and who’s stuck.
Data: you choose whether your data lives in the US, Canada or Europe, and we never use your calls or content to train AI models. SSO/SAML is available on Enterprise. Details are on our security page.
Comparing specific vendors? See TrackPoint vs Gong, the best Gong alternatives for small sales teams, TrackPoint vs Hyperbound and TrackPoint vs Second Nature.
Frequently asked questions
What is the best AI sales training software?
The best AI sales training software reviews your reps’ real calls and trains them on what it finds, instead of only running practice roleplays. For sales teams of 3 to 100 reps, TrackPoint does both in one platform: it records and scores every call, then turns weak moments into AI roleplays assigned to the rep.
What does AI sales training software cost for a small team?
Few vendors list team prices on their site, so expect to sit through a sales call to learn the number. Conversation intelligence tools like Gong cost more: Vendr reports a median Gong contract of about $55,359 a year. TrackPoint’s pricing is on our pricing page, and you can try a roleplay free first.
AI roleplay vs call recording tools like Gong: what’s the difference?
Call recording tools record and analyze real calls after they happen. AI roleplay lets reps practice a conversation before it happens, against an AI buyer, with no deal at risk. TrackPoint does both: it scores real calls and turns what it finds into roleplays. Our TrackPoint vs Gong comparison goes deeper.
Can AI roleplay replace sales coaching?
No. It replaces the repetition, not the manager. AI roleplay can run a rep through the same objection twenty times and score every attempt, so the manager’s time goes to judgment calls and deal strategy instead of running drills.
How many reps do you need before AI sales training is worth it?
Even a team of 3 reps is worth it if the manager can’t listen to every call. Once a manager has more calls than hours to review them, most calls go unreviewed, and that’s when automated call scoring and practice pay off.
Do managers still need to listen to sales calls with AI training software?
Only to a handful. When software grades every call against your scorecard, the team view surfaces the patterns and the outliers, and reps drill their weak spots in roleplays. Managers spend their listening time on the two or three calls a week the scores point to.
What should an AI sales training pilot look like?
One team, four weeks, every call recorded and scored, and two or three roleplays on the objections you lose most often. Agree on the pass criteria in writing before you start, like most reps clearing the passing score and real-call scores improving on those same moments.
Does TrackPoint use our sales calls to train AI models?
No. TrackPoint never uses customer data, including recordings and transcripts, to train its own or anyone else’s AI models, and each customer picks where its data is stored: the US, Canada or Europe.
Where should you start?
Start with the calls your team ran last week. If nobody had time to review most of them, that’s the gap to fix first.
Talk to our team to see one of your own sales calls scored and turned into a roleplay, or try a free roleplay and find out what the buyer won’t tell you until you ask.
