Amotions

The overlay listens to the call on the rep's machine and returns short prompts: a discovery question, an objection cue, a listening nudge, a next-best action. It stays off the meeting itself, so Zoom, Teams, and Meet participants see nothing unusual. Guidance arrives while the buyer is still talking, which is the only window where it can change the outcome.

Reps practice discovery, pricing pushback, and closes with an AI buyer trained on the team's playbook and past calls. Each session ends with a score, and the feedback names one fix rather than listing ten. Sessions run on demand, so a rep can drill a hard objection at 8 a.m. without waiting for a ride-along.

The scorecard grades the call against the steps and criteria the team defines, covering objection handling, talk ratio, question quality, and playbook alignment. Managers can adjust the rubric so the score reflects how the company actually sells, not a generic template. Because practice and live calls use the same criteria, a roleplay score works as a readiness signal.

Teams upload playbooks, product docs, and transcripts, and the AI answers from that material. Custom AI agents can hold a specific workflow, such as a renewal conversation or an intake script. The catch is input quality: a thin or outdated sales playbook produces generic prompts, and the coaching only gets as specific as the documents behind it.

A chat window answers questions about a deal, a persona, or a talk track between calls, and reps can upload a transcript to get feedback on a conversation that happened somewhere else. This is the async half of the product, useful for review work that doesn't need live hours from the plan.

Starter plans include a basic team dashboard. Enterprise adds manager dashboards, advanced admin controls, multi-call insights, integrations, and a security review. Admins also control workspace separation, since playbooks, transcripts, and scorecards are stored per customer workspace.