In this episode of Dynamics Corner, Kris and Brad talk with Matt Traxinger, Development Leader, Archer Point, who manages over 50 developers, and Tonya Bricco-Meske, also known as the “BC Cat Lady.” Their conversation doesn’t fit into any usual conference track, and that’s the point. They discuss what it’s really like to run a large development team when AI tools keep changing, credits cost real money, and there’s no playbook to follow. Matt shares a key idea: instead of trying to work faster, focus on getting more done in the same amount of time. Tanya explains how this works in practice. Her team is finally able to tackle tasks they never had time for before, such as tests, performance benchmarks, and edge cases. They’re also figuring out who should get access to the expensive models and who used up their credits too quickly. Matt describes his design workflow, which got some strong reactions. How do you estimate a project when AI might finish it in minutes, but the credits could cost more than the billable hours? How do you keep standards consistent across a hundred developers, especially when half aren’t even on your team? And the big question: are these models already learning from content made by earlier models?

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In this episode of Dynamics Corner, Kris and Brad talk with Steven Renders about two topics that every implementation faces but often struggles with: training and reporting. Steven shares why training should start before go-live and tells a story about how early training helped a customer avoid building something that already existed in the product. The discussion then moves to a common question for both partners and customers: with options like RDLC, Word, Excel, Power BI, analysis mode, and scorecards, which tool should you use, and when? Steven explains the differences clearly, shares a useful Power BI tip that many people miss, and points out a detail about analysis mode that got Brad excited. Since Microsoft is moving away from RDLC, one type of report could become the primary option. You'll find out which one it is when you listen. Check out this episode.

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In this episode of Dynamics Corner, Kris and Brad sit down with Microsoft MVP Miljan Milosavljević, an active contributor to Microsoft's repos, for a wide-ranging conversation that ranges from post-conference highlights to a question nobody in the BC world has fully answered yet. Miljan drops a stat that catches everyone's attention: 95% of his code is now generated by GitHub Copilot, and he's doing it with almost no instruction files, no subagents, and no elaborate setup. Just clean prompts and a growing sense of where to push the tool harder. But the conversation takes its most interesting turn when Miljan raises the topic that every BC developer quietly dreads: report layouts. Microsoft is clearly pushing Word layouts as the future, and RDLC's days are numbered — but can AI build those layouts? Miljan's been testing it, and the results are promising but incomplete. What would it take to get from "here's my invoice" to a fully mapped, production-ready layout? But it's Miljan's closing observation that might stick with you longest, his kids already call him "JGPT," and he's starting to wonder: when we let AI do all the thinking, what happens to the brain that used to do it for us?

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In this episode of Dynamics Corner, Kris and Brad sit down with Lisa Cole, Chief Marketing and AI Officer at 2X and author of Brain Gravity and The Limitless CMO, for a conversation that every business leader, marketer, and partner needs to hear. Lisa drops a stat that reframes everything: 85% of the time, buyers have already formed their finalist list before they ever talk to a human, and over 90% of the time, they pick the company that was already in the top spot. So how do you get on that list? Lisa's answer is digital mass — building enough valuable, findable, human-driven content online that your brand creates its own gravitational pull. But there's a catch nobody saw coming it's no longer just humans doing the searching. AI agents are now consuming your website, evaluating your content, and making recommendations, and if your site isn't built for both audiences, you're invisible. The conversation takes a sharp turn when Lisa gives marketing leaders a window that makes some uncomfortable: you have 9 to 18 months to figure out how AI fits into your go-to-market strategy before the decision is made for you. What does "random acts of AI" look like inside an organization, and why does it lead to skyrocketing costs with zero impact? Why are AI-native startups stealing market share from established brands, and what's the one thing they all have in common? And why are corporate brand pages officially dead while personal brands are thriving? Lisa lays out the frameworks, including one you can start using today, and doesn't hold back on what's coming next. If you think your website, your content strategy, or your team structure will look the same a year from now, this episode might change your mind.

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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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In this episode of Dynamics Corner, Kris, and Brad welcome back Natalie Karolak — the BC Docs Librarian herself — for a conversation that goes far beyond the usual AI hype cycle and straight into the questions most people are thinking, but few are saying out loud. It starts with a deceptively simple observation: Natalie noticed that blog after blog in the BC community is starting to look and sound the same, and she's not the only one. But what happens when you pull on that thread? The conversation quickly turns into something deeper — if AI were trained on how humans write, how can we even say what's AI-generated anymore? The group wrestles with a paradox that might sound familiar: we're now using AI to summarize the flood of AI-created content. So, who's reading anything? And where does your voice go when everyone's content starts sounding identical? Natalie drops a line that stops the conversation cold — AI is giving us more possibilities while quietly taking away our control. Whether you're a content creator wondering if it's even worth publishing anymore, someone feeling the pressure to adopt tools you're not sure you trust, or just quietly wondering if anyone outside the tech bubble even cares about AI, this episode will make you feel a lot less alone. And Natalie's closing thought on what we're all losing might be the thing that sticks with you longest.

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