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Applied AI Lab Project · Practice Infrastructure
AI-Supported Practice.
Safe, repeatable practice for high-stakes sales conversations — with rubric-based feedback that scales beyond manager bandwidth.
Walkthrough
Context
Distributed sales teams.
Across regions, languages, and time zones.
Challenge
Coaching can't scale linearly.
Manager capacity caps. Role-play sits idle between cohorts.
Goal
Practice as infrastructure.
Always-on conversation reps, rubric-scored, with manager visibility.

Atmosphere · The rehearsal room
A quiet room to practice the conversations that decide the deal.
The business problem
Sales coaching doesn't scale linearly. New hires need volume reps on discovery, objections, and exec-level conversations — but managers can't be everywhere, and traditional role-play sits idle between cohorts.
What it demonstrates
- AI sparring practice for discovery, objection handling, multi-stakeholder, operational, and executive-level conversations
- Rubric-based feedback on practiced behaviors
- Multilingual practice for a global sales audience
Business impact
- Extended coaching capacity beyond manager bandwidth
- Reinforced practiced behaviors after the live workshop ended
- Scaled consistent, rubric-based feedback globally
- Built confidence in higher-stakes conversation patterns before customer moments
Shown as a sample artifact. Company and project specifics that aren't documented on this page have been intentionally omitted.
