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

Chris Daigle sits down with Mohamed Yousuf, founder of Smart Workforce AI, to explore how AI in the workplace can dramatically improve workforce scheduling, planning, and operational efficiency across industries.

Drawing on more than a decade of experience in airlines, healthcare, hospitality, and large scale operations, Mohamed explains how AI powered forecasting and scheduling can reduce overtime, prevent burnout, and help companies put the right people in the right place at the right time. The conversation covers real world AI applications like demand forecasting, seasonal planning, labor law compliance, and intelligent shift swapping, all supported by AI copilots that work alongside human decision makers.

This episode is a practical look at how AI productivity tools can turn workforce management from reactive firefighting into a strategic advantage, while keeping human well being at the center of operations.

🔎 Find Out More About Mohamed Yousuf and Smart Workforce AI

https://www.linkedin.com/in/mohamed-a-yousuf/
Smart Workforce AI
https://smartworkforce.io

🛠 AI Tools and Resources Mentioned

ChatGPT
https://openai.com/chatgpt

AI powered workforce forecasting models
Large language models for scheduling and planning
Internal AI copilots for workforce management

📌 Chapters

00:00 Introduction to Mohamed Yousuf
01:10 From Airline Scheduling to Workforce AI
03:55 Why Workforce Planning Is a Universal Business Problem
05:21 Using AI to Complement Human Decision Making
06:54 Healthcare staffing and burnout challenges
09:16 Forecasting demand using demographic and immigration data
11:23 Hospitality, events, and seasonal workforce planning
12:48 Avoiding panic hiring and panic firing
14:32 Measuring labor cost savings and productivity gains
17:53 Making AI powered scheduling accessible to smaller teams
21:17 Onboarding and system learning timelines
22:56 Handling labor laws and contract complexity with AI
25:19 AI assistants for managers and employees
27:15 Giving employees more control over schedules
29:52 Minimum team size to benefit from AI scheduling
33:16 The future of micro shifts and flexible work
35:29 Pricing and ROI for small and mid sized businesses
39:34 How to get started with Smart Workforce AI