NODE - AI Leadership Development & Training Platform

Set up newly promoted leaders
for success from day one

Help newly promoted leaders navigate the transition from individual contributor to manager with realistic scenarios that build confidence and competence.

The Challenge

The Challenge of Internal Promotions

Your top performers get promoted to management, but technical excellence doesn't automatically translate to leadership success.

Promoted Leaders
⚠️

Identity Shift

They were the go-to expert. Now they need to empower others instead of being the hero.

⚠️

Former Peers

Managing yesterday's colleagues creates complex relationship dynamics they're unprepared for.

⚠️

New Skills Required

Performance management, delegation, and difficult conversations are entirely new territories.

Practice Leadership Before It Matters

Safe, realistic scenarios where new managers practice difficult conversations and critical decisions before facing them with their team.

Team Trust32%
Delivery47%
Stress12%
Client Trust79%
You
You
New Team Lead
AI Coach
Online
Situation Brief

Monday morning. You're no longer part of the team—you're leading it.

Sarah, who trained you, just missed another deadline. Your former desk mate asks why you got the promotion instead of him.

⚠️ Your boss wants your 90-day plan by Friday.

How do you establish authority without losing relationships?

Navigate difficult conversations with former peers
Handle performance issues early in your leadership journey
Build confidence before real stakes arrive
Get feedback when mistakes don't have real consequences

Ready to Start

Build better leaders with
AI-powered practice

Give your leaders real-world scenarios to practice decision-making, get instant feedback, and develop the judgment they need to succeed.

30 min
Average creation time
90%
Higher engagement rates
Zero
Tech skills required
Practice real leadership scenarios
Build better judgment
Measure competency growth

Trusted by leading organizations

Citi
Deloitte
Adobe
PepsiCo
McKinsey
Microsoft