In this episode of Evolve, Adam and Rob navigate the rapidly evolving landscape of AI, cutting through buzzwords to reveal what agentic and autonomous AI systems actually mean in practice. They challenge the conventional wisdom of waiting for perfect data and explore how organizations can use AI to prepare their data instead. Rob shares an impactful story of how a client transformed a slow, expensive data harmonization process into something dramatically faster and more accurate. From Blend X to building teams that can keep pace with change that moves faster than the news cycle, this conversation unpacks what it takes to build in an era where the rules are being rewritten in real time.
Key Takeaways:
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Adam Mincham is Head of Agentic AI Business Transformation at Blend, where he guides enterprises in rethinking how they scale and embed AI to achieve lasting transformation. In this episode, he explores the evolution from generative AI to agentic and autonomous AI. He unpacks how organizations can start using AI to prepare their data rather than waiting for perfect data foundations. He also discusses Blend X, Blend's framework for accelerating agentic AI deployment.

Rob Fuller leads data and AI strategy at Blend as the Chief Solutions Officer, where he architected Blend X, the company's strategic middle layer that enables enterprises to deploy AI solutions with consistency and speed while maintaining customization. In this episode, he breaks down the distinction between agentic and autonomous AI. He shares how a consumer packaged goods client dramatically improved data harmonization accuracy while cutting turnaround time from weeks to hours. He also discusses how Blend is building teams and culture to keep pace with rapid AI advancement.