AI Agent & Copilot Podcast: Ryan Grant on Where to Start with AI Adoption

In this episode of the AI Agent & Copilot Podcast, Giuseppe Ianni sits down with Ryan Grant, Chief Strategy and Revenue Officer at sa.global, who shares insights on how organizations are approaching AI adoption, where they’re struggling to get started, and how industry-specific agentic solutions can drive efficiency and revenue protection. Their discussion, recorded live at the 2026 AI Agent & Copilot Summit NA, spotlights the urgency, complexity, and opportunity surrounding AI transformation. Key Takeaways Starting Is the Biggest Challenge : Many organizations are not lacking interest, but direction. Grant says that customers are struggling to prioritize use cases across departments. The range of entry points (from finance to customer experience) creates confusion. The key is narrowing focus and identifying high-impact starting points. Without clarity, companies risk paralysis or misaligned investments. Industry-Specific AI Is the Real Differentiator : Grant discusses the importance of tailoring AI solutions: “what we're really trying to do… is figure out how to help those industries optimize.” Generic AI tools fall short without context. By focusing on sectors like construction, engineering, and legal, sa.global builds agents that understand workflows, billing models, and operational nuances. AI Must Understand Your Business to Work : One of the most powerful insights: “ you can go plug an agent in, but if it doesn't know your business… it's never going to work. ” AI is not plug-and-play. Like a new employee, it needs training, context, and alignment with company processes. Organizations must integrate AI into their workflows thoughtfully, ensuring it reflects how they operate. This alignment is the difference between failed pilots and transformative success. Visit Cloud Wars for more.

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AI Agent & Copilot Podcast: Ryan Grant on Where to Start with AI Adoption is an episode from Cloud Wars Live with Bob Evans by Bob Evans.

This episode is 00:04:19 long.

This episode was published on Apr 23, 2026.

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