The 5 Stages of AI Adoption EVERY Team Goes Through | With Dimitra Retsina

The AI adoption playbook that you've always been looking for. In this episode, Dimitra Retsina shares her journey of introducing AI tools into the product engineering design organisation at Sana Commerce. She breaks down the five phases of AI adoption: fear, push, pull, run, and hold. She also explains how she overcame initial resistance and fear within her team, showcasing the benefits of AI in enhancing productivity and decision-making. With practical insights and real-world examples, she highlights the importance of governance and understanding customer needs when implementing AI solutions. Connect with Dimitra! https://www.linkedin.com/in/retsina/ Check out Sana! https://www.sana-commerce.com/ Chapters: 00:00:00 - Introduction and Overview 00:00:39 - Dimitra Retsina's Role and Background 00:00:46 - Role at Sana Commerce 00:01:14 - AI Adoption Journey 00:01:34 - Value of AI 00:02:03 - Introduction to Dimitra Retsina 00:03:00 - Role and Responsibilities at Sana Commerce 00:06:23 - Trigger for AI Adoption 00:07:59 - Start of AI Adoption Journey 00:09:03 - Challenges and Resistance 00:09:17 - Getting Stakeholders Onboard 00:11:34 - Management Support 00:11:54 - Creating New Security Protocols 00:13:21 - Taking Over Data Engineering 00:14:16 - Overcoming Team Resistance 00:14:51 - Fear, Push, Pull, Run, Hold: The AI Journey 00:15:22 - Overcoming Initial Resistance 00:15:59 - Introducing AI Tools to the Team 00:16:44 - Promoting AI Adoption Through Example 00:17:20 - Pushing AI Adoption with Enterprise Licenses 00:18:45 - Moving from Fear to Push Phase 00:19:16 - Defining Success in AI Adoption 00:20:09 - The Role of AI in Documentation 00:21:47 - Promoting AI as a Necessary Tool 00:23:37 - AI in Position: A New Program 00:24:10 - Balancing AI Adoption with Realistic Deadlines 00:27:21 - The Role of AI in QA Execution 00:30:10 - Start of the Full Phase 00:30:41 - Procuring Tools for Different Roles 00:31:20 - Choosing the Right Tools for UX Designers 00:36:19 - Selection of Builder.io 00:38:18 - Understanding the Run Phase 00:39:42 - Quality Control in AI Assisted Coding 00:42:24 - The Hold Phase: Governance and Review 00:44:09 - Delivering Value to Customers 00:45:34 - Product Strategy and AI Integration 00:46:39 - Investing in Findability and Customer Experience 00:48:48 - Trust, Data Security and AI Automation 00:51:13 - Understanding Customers and Problem Selection 00:52:26 - The Role of AI in Product Development 00:53:26 - Using Dovetail for Data Analysis 00:57:33 - Co-creation with Customers 00:58:36 - Rapid Prototyping and Design Iteration 01:01:04 - Using Prototypes to Explain Vision 01:01:49 - Managing Expectations and Pre-sales 01:02:42 - The Role of Prototypes in Sales and Enablement 01:03:30 - The Development and Release Cycle 01:03:49 - Moving Iterative Process to Design Phase 01:06:22 - B2B vs B2C Product Development 01:07:19 - Introducing New Innovation and Incremental Improvements 01:08:32 - Productivity Gain and New Bottlenecks 01:09:37 - The Importance of Design and Assertion 01:11:24 - Measuring Success of AI Adoption 01:16:06 - Final Question and Closing Conversation 01:17:01 - Advice for AI Adoption 01:19:34 - Planning for the Future 01:20:40 - Conclusion and Gratitude #aiadoption