Intel / article

Ai Sales Coach

Source: elevenlabs.io
Author: ElevenLabs editorial sitemap
Date: Published Sep 8, 2026

Why it matters

Shows how to design a voice agent persona that discloses information in tiers based on question quality, plus how coaching feedback loops into enablement data. A reusable pattern for any roleplay or simulation agent.

Key takeaways · AI-distilled

ElevenLabs GTM enablement author Remy Khoung says peer sales role-play typically sees 40% to 60% completion because it depends on an available, willing and skilled partner, and reps tend to walk each other through pitches politely.
The ElevenAgents voice personas reveal information in tiers: basics shared freely, specific challenges earned through sharp questions, and budget authority and timelines surfaced only after careful discovery.
Reps can say they are stuck mid-scenario to switch the into a coaching mode that teaches the with sample language; the author says adding this sharply increased voluntary repeat sessions.
After the final beat the agent scores technical accuracy, fit to the buyer's situation and pitch altitude for seniority on a 1-3 scale, with structured data extracted from every transcript to show team-wide skill gaps.
Rolled out to hundreds of sellers across North America, EMEA and APAC, the program passed 90% completion, per the author, and was built in a visual workflow builder without engineering support.

Terms in this piece · Glossary

AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
agent skill — A reusable instruction file that teaches an agent how to do one job well — the procedure, the tools, and what counts as done.

Read the source elevenlabs.io