Ep 705: How to Train Your Team on AI: The 7 Steps to Educate Your Organization on LLMs (Start Here Series Vol 6)
February 3, 2026
AI Summary
5 min read🎙️ The Voices & The Context
- The Format: Solo monologue in an educational podcast episode, structured as a "Start Here Series" lesson with stats, steps, and calls to action.
- The Key Players:
- Host: Jordan Wilson, a seasoned AI podcaster (700+ episodes), former Pulitzer fellow and award-winning writer turned AI educator and consultant. He draws from personal experience consulting for companies like Adobe, Microsoft, and NVIDIA.
- The Vibe: Educational and urgent, blending motivation with practical no-nonsense advice; motivational for business leaders, with a fun, conversational edge via analogies and stats.
🗝️ Key Themes & Topics
The episode dives into the massive corporate AI adoption gap and delivers a blueprint for success via seven steps to train teams on large language models (LLMs). It emphasizes mindset shifts over buzzwords, backed by studies like McKinsey (92% plan AI investment, 1% mature) and Forrester (only 30% mandate training by 2026).
- Topic 1: The AI Training Gap. Highlights how companies splurge on tools like Microsoft 365 Copilot or ChatGPT Enterprise but neglect employee training, creating "haves" vs. "have-nots." Leaders hype AI in meetings yet skip basics like hallucinations (from prior episode).
- Topic 2: The Seven Steps to Train Teams. Core framework: (1) Leadership uses AI daily; (2) Fix workflows fi
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What you'll learn
- 1 (00:00) **Corporate AI Training Gap**
- 2 (04:17) **Overview: 7 Steps to Train Your Team on AI**
- 3 (05:18) **Step 1: Leadership Must Go First**
- 4 (07:00) **Step 2: Fix Broken Workflows Before Adding AI**
- 5 (08:38) **Step 3: Pick One AI Platform and Commit**
- 6 (14:05) **Step 4: Train in Three Layers (Not Upskilling)**
- 7 (18:52) **Step 5: Document Procedures, Not Just Data**
+ Full timestamped outline available in the app
Show Notes
Like 99% of companies are pushing AI. 🚀
But like 0.01% are actually training their people on it. 🤦
Don't worry. We'll go over the essentials on how to get started training your team or getting your company trained on best practices for using AI in your day-to-day.
First step to solving the AI implementation gap starts here.
How to Train Your Team on AI: The 7 Steps to Educate Your Organization on LLMs -- An Everyday AI Chat with Jordan Wilson
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Topics Covered in This Episode:
- AI Training Adoption Gap in Organizations
- Seven Steps to Train Teams on AI
- Importance of Leadership in AI Adoption
- Fixing Broken Workflows Before AI Integration
- Choosing and Committing to One AI Platform
- Training Employees in Three AI Knowledge Layers
- Documenting Procedures for AI Implementation
- Mandating Hands-On AI Practice and Outputs
- Transitioning Teams from AI Operators to Orchestrators
Timestamps:
00:00 "AI Spending, Training Gap Looms"
05:48 "Embracing AI-First Leadership"
08:43 "Choosing Between AI Copilots"
10:22 "Unified AI Operating System Strategy"
14:46 Partnering for Generative AI Success
18:40 "Document Processes for AI Workplaces"
19:58 "AI OS for Decision Trees"
24:56 "Future Jobs: Orchestrating Tasks"
27:33 "Training Teams on AI"
Keywords:
AI training, large language models, corporate AI adoption, AI literacy, AI education, team AI training, employee AI training, organization AI strategy, AI workflows, workflow optimization, AI platform selection, AI operating systems, Microsoft 365 Copilot, ChatGPT Enterprise, Google Gemini, Anthropic Claude, shadow IT, AI tool sprawl, data documentation, procedure d
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