In this episode of Dynamics Corner, Kris, and Brad welcome back Matt Strippelhoff, CEO of Red Hawk Technologies, for a conversation that steps completely outside the tech bubble and into the boardroom. Forget models, frameworks, and token counts; this episode is for the business leader who keeps hearing about AI but still doesn't know where to begin. Matt's advice? Flip the script. Take AI out of the conversation entirely and start by mapping your most expensive workflows from opportunity to cash. Where are the handoffs? Where's the friction? Where are the mistakes costing you money? Only then do you ask whether AI, agents, or automation can help. The group tackles the questions real businesses are asking right now: which tool should I choose when there are dozens? How do I keep employees from creating shadow IT with personal AI subscriptions? Do I need an AI policy, and who owns it? And the one nobody wants to ask out loud , "Can I really run 14 agents and make billions from the beach?" If you're a business leader wondering how to take the first real step with AI, or a partner trying to help your customers navigate this, start here.

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In a rapidly evolving digital landscape, businesses are constantly seeking ways to improve efficiency and growth. In this episode of Dynamics Corner, Kris and I had the opportunity to speak with Mike Morton, Vice President, Microsoft Dynamics Business Central, about the impressive growth of Business Central, and how businesses can automate routine tasks, allowing employees to focus on strategic initiatives. Key Factors Behind Business Central's Growth - Strong Customer Feedback: Positive feedback from customers has fueled ongoing development and enhancements of Business Central. - Global Reach: While Europe has traditionally been the strongest market, the U.S., South America, and Asia are emerging as significant growth vectors. - AI Integration: The incorporation of AI features has positioned Business Central as a leader in business management solutions. The Role of AI in Business Central As we look to the future, AI is becoming a central theme in Business Central's strategy. AI is not just a buzzword; it's a transformative technology that can enhance operational efficiency and open new avenues for growth. What’s Next for Business Central and AI? Looking ahead, industry leaders emphasize the importance of adopting AI tools like Microsoft 365 Copilot to harness the full potential of AI in business operations. - Business Central is on a growth trajectory, driven by strong customer feedback and AI integration. - AI is reshaping how businesses operate, from efficiency gains to enhanced customer interactions. - To leverage AI effectively, businesses should start with clear objectives and utilize the right tools. In conclusion, Business Central is not just a business management tool; it is a and by embracing AI and leveraging its capabilities, businesses can unlock new growth opportunities and drive greater efficiency.

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In this episode of Dynamics Corner, Kris and Brad are joined by Volodymyr Dvernytskyi — a BC developer from Ukraine, a recent Microsoft MVP, and the creator of many open-source tools — for a grounded, practical look at what AI-assisted AL development actually looks like in the real world. Volodymyr doesn't sugarcoat it: AI has made code cheaper to produce, but that speed comes with a trap that most developers aren't talking about yet. What happens when you generate thousands of lines of code you didn't write and don't fully understand? And who's responsible when that code breaks in production? The conversation takes an unexpected turn when Volodymyr reveals what's been happening to his open-source repositories — a flood of AI-generated pull requests from contributors who don't understand the problems they're trying to solve. But the episode isn't all cautionary tales. Volodymyr lays out a clear progression for anyone looking to get started: from IDE-based agents to CLI tools to MCPs, with a critical reminder that understanding Business Central's functionality matters now more than ever. Brad shares a testing experiment that produced eye-opening results on an old production project, and the group lands on a closing insight that reframes the entire "what do we do with the free time" debate. If you think AI development means less work, this episode will change your mind — it means better work, and the developers who understand that distinction are the ones who'll thrive.

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