Chris Daigle sits down with Tim Cakir, founder of AI Operator, to talk about why most companies feel overwhelmed by AI and how leaders can move past tool overload to real productivity at work.

Tim shares his experience training teams across industries and explains why AI adoption fails when organizations chase tools instead of outcomes. The conversation focuses on building human centered AI habits, reducing fear around AI, and helping teams work with AI as a collaborator rather than seeing it as a threat.

They also explore how leaders can tailor AI training by role, why behavior change matters more than policies, and how voice AI and assistants are beginning to reshape how people plan, think, and execute at work. This episode is a practical guide for leaders who want progress with AI without burnout or confusion.

🔎 Find Out More About Tim Cakir

Tim Cakir on LinkedIn
https://www.linkedin.com/in/timcakir/

AI Operator
https://aioperator.com

🛠 AI Tools and Resources Mentioned

ChatGPT — https://chat.openai.com
Google Gemini — https://deepmind.google/technologies/gemini/
Google AI Studio — https://aistudio.google.com
Claude — https://claude.ai
NotebookLM — https://notebooklm.google
ElevenLabs — https://elevenlabs.io
Vapi — https://vapi.ai
Make — https://www.make.com
Zapier — https://zapier.com
n8n — https://n8n.io
Notion — https://www.notion.so
MCP (Model Context Protocol) — https://modelcontextprotocol.io
Custom GPTs — https://chat.openai.com/gpts
AI Operator — https://www.aioperator.com

Internal AI assistants used inside organizations

📌 Chapters

00:00 Introduction to Tim Cakir
02:18 Why leaders feel overwhelmed by AI
05:06 Tool overload vs outcome driven adoption
08:44 Human plus AI collaboration mindset
13:02 Reducing fear around AI at work
17:36 Training teams based on real workflows
22:41 Behavior change vs policy driven adoption
27:15 Using voice AI to reclaim time and focus
31:48 How leaders should evaluate new AI tools
36:05 Where AI Operator helps organizations start
40:12 How to connect with Tim Cakir

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