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🎙 Full Show Notes
https://www.microsoftinnovationpodcast.com/811

This episode explores how organisations can move from AI curiosity to real, everyday value through the practical adoption work of Carina de Vries. Drawing on hands-on experience, it reframes AI from a tool conversation to a problem-first mindset. The focus is on building trust, improving quality, and creating small habits that stick. Listeners will learn why one-off training fails, how behaviour change really happens, and how to design an AI adoption journey that fits daily work rather than disrupting it.

👉 What you’ll learn

• How to shift AI conversations from tools to real user problems
• Why small, repeatable habits matter more than broad AI training
• How to design an adoption journey that builds trust and confidence
• Ways AI can improve both productivity and quality of work
• How to help people move from experimentation to daily AI use

✅ Highlights

• “I discovered ChatGPT and it helped me get back to work in just an hour a day.”
• “It’s just another tool in the toolbox, so what do you want it to deliver to you?”
• “We talk too much about the tool instead of a daily problem a user can relate to.”
• “People are already in a mindset that the current tool they’re using is better.”
• “It’s about building the habit, not just doing a one-off training.”
• “Make it small, because we tend to tell everything about the product all at once.”
• “If you can continue it another 30 days, then it’s going to be a habit.”
• “I wouldn’t know what to do without it because it’s saving me so many hours a week.”

🧰 Mentioned

• ChatGPT: https://chatgpt.com
• Microsoft Copilot:https://copilot.microsoft.com
• M365 Copilot: https://www.microsoft.com/microsoft-365-copilot
• Copilot Chat: https://copilot.cloud.microsoft
• Copilot Studio: https://www.microsoft.com/microsoft-365-copilot/microsoft-copilot-studio
• Gamma.app: https://gamma.app
• Microsoft Teams: https://www.microsoft.com/microsoft-teams
• Tech Community: https://techcommunity.microsoft.com
• Ignite: https://ignite.microsoft.com
• Microsoft MVP YouTube Series - How to Become a Microsoft MVP: https://www.youtube.com/playlist?list=PLzf0yupPbVkqdRJDPVE4PtTlm6quDhiu7

✅ Keywords
ai adoption, copilot, chatgpt, user adoption, habit building, productivity, ai literacy, change management, microsoft 365, prompts, workplace ai, digital transformation

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If you want to get in touch with me, you can message me here on Linkedin.

Thanks for listening 🚀 - Mark Smith

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM

In this episode, Mark Smith speaks with Caleb Mattingly about how startups and enterprises should approach AI governance, compliance, and risk as AI adoption accelerates. The conversation focuses on ISO 42001, common misconceptions about AI security, and why compliance is less about badges and more about trust, data quality, and long term viability. You will hear practical perspectives on when compliance becomes essential, how it functions as a sales enabler, and why human oversight still matters more than autonomous agents in high risk environments.

👉 Full Show Notes
https://www.microsoftinnovationpodcast.com/810

🎙️ What you’ll learn

• How ISO 42001 differs from traditional security standards like ISO 27001
• Why AI compliance is primarily about data quality, bias, and risk anticipation
• When compliance becomes a sales lever rather than a legal checkbox
• Why most organisations are not ready for autonomous compliance agents
• How startups should time compliance investments without killing runway

✅ Highlights

• “ISO 42001 does not prove that your AI system is secure at all.”
• “Most of it is not security related, it’s about data quality and bias.”
• “AI is only as good as the data that you give it.”
• “Compliance acts as a sales lever before it acts as a security guarantee.”
• “AI can make a lot of mistakes very quickly.”
• “Most companies are not ready for AI agents with admin access.”
• “SOC 2 in two weeks is not a thing.”
• “Compliance and security are not one to one.”
• “Enterprises care about whether you handle their data securely.”
• “It takes a minimum of five months to get SOC 2 done properly.”

🧰 Mentioned

• International Standards Organization: https://www.iso.org/
• ISO 42001: https://www.iso.org/standard/42001
• ISO 27001: https://www.iso.org/standard/27001
• SOC 2: https://www.aicpa-cima.com/topic/audit-assurance/audit-and-assurance-greater-than-soc-2
• EU AI Act: https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng

✅Keywords
ai governance, iso 42001, ai compliance, startup compliance, data privacy, soc 2, iso certification, ai risk management, enterprise sales, ai regulation, security and privacy, responsible ai

Microsoft 365 Copilot Adoption is a Microsoft Press book for leaders and consultants. It shows how to identify high-value use cases, set guardrails, enable champions, and measure impact, so Copilot sticks. Practical frameworks, checklists, and metrics you can use this month. Get the book: https://bit.ly/CopilotAdoption

Support the show

If you want to get in touch with me, you can message me here on Linkedin.

Thanks for listening 🚀 - Mark Smith

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM

This episode explores how AI coding agents are reshaping how software is built, through the practical experience of Vardhaman Deshpande. The core insight is that pro-code developers using natural language with modern AI models can now build features and agents faster than many low-code tools. The conversation examines velocity gains, trade-offs between pro-code and low-code, and what this shift means for professionals building AI-powered solutions.

🎙️ Full Show Notes
https://www.microsoftinnovationpodcast.com/809

👉 What you’ll learn

• When pro-code plus AI is faster than low-code tools
• How natural language is becoming a new interface for software development
• Where Copilot Studio fits, and where it may slow teams down
• How AI agents accelerate feature delivery and testing
• What skills matter as AI-driven development matures

✅ Highlights

• “My workflow is actually faster than doing something in a low-code, no-code environment.”
• “Pro-code plus AI coding agents might actually be faster to build than low-code.”
• “Recent models are amazing at translating natural language to code.”
• “Earlier something that took weeks I can probably do in a couple of days now.”
• “The velocity of creating features for products is going to explode.”
• “Why do you need that middleware?”
• “Prompting rather than configuring is the transition we’re starting to see.”
• “How much of pro-code versus low-code is realistic remains to be seen.”
• “Things which were prohibitively time-consuming have become possible now.”

🧰 Mentioned

• Microsoft Foundry: https://azure.microsoft.com/products/ai-foundry/
• Azure AI Services: https://ai.azure.com/explore/aiservices
• Copilot Studio: https://www.microsoft.com/microsoft-365-copilot/microsoft-copilot-studio/
• GitHub Copilot: https://github.com/features/copilot
• Power Virtual Agents: https://www.microsoft.com/microsoft-copilot/blog/copilot-studio/microsoft-power-virtual-agents-now-part-of-microsoft-copilot-studio/
• Microsoft MVP YouTube Series - How to Become a Microsoft MVP - https://www.youtube.com/playlist?list=PLzf0yupPbVkqdRJDPVE4PtTlm6quDhiu7

✅ Keywords
ai agents, pro-code, low-code, github copilot, copilot studio, microsoft foundry, azure ai, natural language coding, software velocity, ai development, microsoft ecosystem, automation

Support the show

If you want to get in touch with me, you can message me here on Linkedin.

Thanks for listening 🚀 - Mark Smith