Voice AI Training and Certification

Voice AI practice and AI-scored certification for customer-facing teams, with scores you can defend.

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WE MULTIPLY WHATS IMPORTANT

Your Metrics

Your Capacity

Your Revenue

Your Time

Your Performance

Award Winning

On Your Schedule

94% Success Rate

Accelerate Growth

Increase Performance

How results are measured

Business case

Value definition

Expected value, implementation cost, and the measurement method are agreed before development begins.

Delivery plan

Delivery approach

Milestones are set around data readiness, integrations, security review, and the production environment.

Operating baseline

Current cost, cycle time, quality, capacity, or risk is established before improvement is measured.

Verified outcome

Results are reported against approved source data, a defined system boundary, and an agreed measurement period.

Most training measures attendance. A rep can finish every module and still fumble the message in front of a skeptical buyer. ALLTIPLY builds voice AI platforms where people practice real conversations against an AI counterpart, get scored against a rubric you control, and certify on performance instead of completion.

We ground every scenario in your own documents and positioning, calibrate the AI grader against human grades, and keep a trainer override in place until agreement is measured. Our method is written up in Calibrating AI graders. See it in production in our voice AI sales roleplay platform and AI-scored voice sales certification.

Challenges That Hold You Back

Roleplay depends on a manager's free hour, so practice is scarce and new hires rarely get enough of it.

Two managers grade the same conversation differently, so reps never get a consistent picture of what good sounds like.

Certification built on video courses proves someone watched the material, not that they can deliver it under pressure.

client experience

Andrew Higgins
CEO, Beem

Bar graph showing increasing growth, positive trend, business performance, success metrics, upward trajectory

Make practice available on demand, scored the same way

We build the platform, ground it in your content, and run it in production with your enablement team.

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Measurable Outcomes That Drive Real Results

Practice that scales with the team

People talk to an AI buyer by voice any time, in the browser or on a phone. The buyer raises objections, pushes back on vague answers, and stays in character for the scenario you assigned.

Scores people can trust

Graders are tuned against a human-graded reference set, points are tied to transcript evidence, trainers can override any score, and drift checks run after every prompt, model, or scenario change.

A record leaders can act on

Managers see progress by team hierarchy, which core messages each person has mastered, and who has not started, so follow-up goes to the specific people who need it.

An AI-native operations platform for a streaming media business

Planning a practice or certification program?

Speak to a Multiplier about scenarios, scoring, and a rollout your leaders test first.

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Steps to Getting Started

Four phases from scoping the program to a calibrated certification running in production.

Program and rubric design

Scope agreed

We define the audience, tiers, pass rules, and weighted criteria with your enablement leads, and agree how scoring will be checked before anyone is certified.

Scenarios and content

Content grounded

We ingest your documents and positioning, tag them for relevance and region, and build scenarios with an AI counterpart that raises the objections your people actually hear.

Grader calibration

Baseline set

Trainers grade a reference set of transcripts and we tune the AI grader until it matches them. Leaders then take the program themselves before the field does.

Wave rollout and reporting

In production

We roll out to cohorts in waves, fix invitations and roles between waves, and give managers team-level reporting on who has started, who is stuck, and who has passed.

Voice AI Training and Certification FAQ

Still have questions? Contact our team, and we’ll be happy to help.

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How do you keep AI scores from running high?

AI graders tend to be generous even with a good rubric. We tie each point to a transcript quote, grade criteria separately, test the grader against a human-graded reference set, log every trainer override with a reason, and rerun those checks after any prompt, model, or scenario change.

Where do the scenarios and the AI buyer's knowledge come from?

From your own documents, positioning, objection lists, and competitive material. Content is tagged for relevance, compliance review, and region, so a scenario for one market does not borrow facts from another. Managers build and edit scenarios without engineering help.

Can we run training and certification on the same platform?

Yes, and we design for it from the start. Practice, onboarding, and certification run as separate tracks with their own scenarios, rubrics, and reporting on one platform, so a new program does not require rebuilding the core.

Will people push back on being certified by an AI?

Trust comes from the rollout, not the model. Leaders take the certification first, trainers can override any score, people see a simple result grid by core message, and rollout moves in waves so problems surface with small groups.

Who runs the platform after launch?

Either of us. We can operate it, or move it onto your infrastructure in stages with separate test and production environments and your identity provider for sign-on and roles. We document the scoring setup so your team can maintain it.