Building Your AI Roadmap: From Vision to Execution | Episode #0009
- 2025-05-09
- Posted by: Brad Groux
- Category: Podcast
In this episode, the team breaks down how to move beyond AI buzzwords and actually build a strategy that delivers. Brad Groux, Carrie (Eggleston) Hundley, and Robert Groux walk through a 5-step roadmap – rooted in Gartner and McKinsey research – that helps businesses go from “great idea” to measurable outcomes.
You’ll learn how to define clear AI objectives, identify high impact use cases, assess your data readiness, select the right tools for your team, and launch pilot projects that actually scale. They also cover real-world challenges like tool reliability, SaaS overload, model instability, and internal politics.
Whether you’re a small team or an enterprise leader, this episode is packed with pragmatic advice, hard truths, and encouraging strategies to help you build an AI roadmap that works – for your business, your people, and your future.
New episodes are released every Friday across all major podcast platforms (direct links below), with video available on Spotify and YouTube – follow along to empower your AI journey!
Start Small, Think Big: Episode 0009 – Show Notes
Summary
In this episode, the hosts discuss the critical components of building an AI roadmap, emphasizing the importance of strategic planning, stakeholder engagement, and data readiness. They explore current trends in AI, the challenges organizations face in implementation, and the necessity of pilot projects to gather feedback and iterate on solutions. The conversation highlights the need for flexibility in AI strategies and the role of technology tools in facilitating business transformation.
Keywords
AI roadmap, strategic planning, AI implementation, business transformation, data readiness, pilot projects, stakeholder engagement, technology tools, AI trends, business insights
Takeaways
- Building an AI roadmap requires clear, measurable business objectives.
- Strategic planning is vital for successful AI implementation.
- Stakeholder engagement is crucial for identifying key use cases.
- Data readiness and quality are foundational for AI projects.
- Pilot projects should be implemented with clear ownership and feedback loops.
- AI is transforming business processes, but challenges remain.
- Organizations must adapt to the rapid changes in AI technology.
- Flexibility in AI strategies is essential for success.
- Learning to leverage AI tools can free up time for more complex tasks.
- Creating a culture of experimentation and learning is key to AI adoption.
Titles
- Navigating the AI Landscape: A Roadmap for Success
- From Vision to Execution: Building Your AI Strategy
Sound Bites
- “AI is coming for all of our jobs.”
- “It takes a village to implement AI.”
- “An AI roadmap isn’t set in stone.”
Resources
- EVENT: The Global Exchange: AI for Business, Society, and Global Affairs (WAC Houston)
- Superagency in the workplace: Empowering people to unlock AI’s full potential (McKinsey)
- The Future of Jobs Report 2025 (World Economic Forum)
- The CIO’s Guide to Building an AI Roadmap That Drives Value (Gartner)
- ChatGPT is getting smarter, but its hallucinations are spiraling (Tech Radar)
- OpenAI to acquire AI coding tool Windsurf for $3B (Computer World)
- ‘Are We All Doomed?’ The CEO of Fiverr Says AI Is Definitely Taking Your Job. Here’s What to Do About It. (Twitter)
- Windsurf CEO: Betting On AI Agents, Pivoting In 48 Hours, And The Future of Coding (Y Combinator)
- Empowering multi-agent apps with the open Agent2Agent (A2A) protocol (Microsoft)
- https://linktree.com/digitalmeld
Chapters
00:00Introduction to AI Roadmap
05:43 The Importance of Strategic Planning in AI
14:32 Challenges and Opportunities in AI Implementation
18:43 The Future of AI and Job Market Dynamics
28:09 The Role of Marketing and HR in AI Integration
29:56 Understanding the Impact of AI on Executive Management
31:32 Sales vs. Business Development: A Distinction Worth Noting
32:00 The Importance of Institutional Knowledge
33:06 The Future of Human Connection in an AI World
35:02 Practical AI Roadmaps for Businesses
36:03 Defining Clear Business Objectives for AI
39:09 Navigating Internal Politics for AI Success
42:05 The Importance of Stakeholder Engagement
49:34 Assessing Data Readiness for AI Implementation
54:38 Integrating Disparate Systems for AI Success
56:03 Data-Driven AI Implementation
58:45 Selecting the Right Tools for Your Organization
01:00:09 Understanding SaaS Solutions and Their Limitations
01:02:35 Building an AI-Native Culture
01:07:35 Implementing Pilot Projects and Iteration
01:12:27 Strategic Insights and Future Directions
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