Question 1

Is this a voice AI that calls my prospects?

Accepted Answer

No — and this is the most important thing to be clear about. Everboarder is the opposite category. Tools that auto-dial prospects make the calls instead of your reps. Everboarder is a practice buyer: your reps practise with the AI, then they make the real cold calls themselves. The output is muscle memory and a calibrated scorecard, not outsourced outreach. We don't dial your prospects and we don't want to.

Question 2

How long is a cold call practice session?

Accepted Answer

Most sessions run five to ten minutes — about the length of a real cold call plus a short scoring debrief. You can run a longer discovery simulation in twenty to thirty minutes if you want the extended loop. The right cadence for a new opener is roughly twenty short sessions over the first two weeks, then a check-in before any campaign launch. Short, repeated reps beat one-off long sessions for transfer to live dials.

Question 3

Does it work for SDRs, AEs, AMs and CS?

Accepted Answer

Yes — the scenario types and scorecards differ by role, but the practice loop is the same. SDRs drill cold opens, gatekeeper bypass and objection handling. AEs run discovery, demo and negotiation. AMs and CS leaders practise QBRs, expansion conversations and at-risk renewals. The methodology layer reshapes scoring per role. One platform, four practice surfaces — managed from the same dashboard.

Question 4

Does it fit with our LMS, Gong and Salesforce?

Accepted Answer

Everboarder integrates with the stack you already run — it doesn't replace it. Sessions and certification status sync to Salesforce on the rep record. Gong and Chorus signal feeds into scenario selection so live-call weaknesses drive practice. SCORM packaging drops sessions into your LMS curriculum. The job is to make the existing stack more useful, not to ask you to rip anything out.

Question 5

Is there a free tier?

Accepted Answer

Yes — Free to start. No credit card. Individuals get access to the practice bot, scenario library, and scoring. Team plans add reporting, certification gates, methodology customisation, and integrations. Most reps use the individual tier to validate that the practice loop actually changes how they sound on live calls, then bring it to their team after the first month.

Question 6

How realistic is the AI buyer on a cold call?

Accepted Answer

Realistic enough that reps stop hedging and start practising. The voice layer runs on production-grade text-to-speech with persona-matched pacing, hesitation, and tone shifts. A skeptical CFO sounds different from a curious VP of Sales — pitch, pace, and patience all reset. The bar we hold ourselves to is 'felt like a call I had last week,' not 'helpful practice partner.' If a rep can hear the buyer leaning out, the practice transferred.

AI Cold Call Practice Simulator

A live cold call, mid-dial, with the meters running.

Why static cold calling training doesn't work

PDFs produce knowledge, not cold-call skill

Manager roleplay doesn't scale to 20–40 reps

Generic chatbots break realism

Coaching after the cold call is too late

Without realistic pushback, reps don't learn LAER

How Contextual Realism (SPCM) makes practice real

Source-aware

Channel-aware

Persona-aware

Methodology-aligned

Objection variety

Real-time coaching

Works with the methodology your team already runs

Then score it — hook, relevance, curiosity, brush-off recovery, the ask.

Customer outcomes

Fits the stack you already run

CRM

Conversation intelligence

Sales engagement

LMS (SCORM)

Comms

SSO

Security & compliance

Templates and skills that feed this practice

Cold Call Script Template

Cold Calling — skill pillar

AI Sales Roleplay Simulator

Frequently asked questions

Start practising