Listen "S2 E2 - AI Adoption: inside-out perspectives with Microsoft"
Episode Synopsis
Send us a textAI alone won't revolutionise a business just because the tools are available. We explore how Microsoft transitioned from trial phases of AI to achieving tangible results—and why governance, training, and clear KPIs are crucial in moving from novelty to tangible outcomes. With insights from Marijke Schroos, General Manager, Microsoft Belgium and Luxembourg, and Michiel De Keyzer, a Director at PwC, we delve into daily adoption mechanics, from leader-driven prompt sharing to community building and weekly reports that push usage beyond 90%. Our discussion goes beyond buzzwords to reveal how teams truly capture value. We explore how to align AI with specific processes and challenges, establish baselines, and assess outcomes like cycle time, quality, and risk reduction. You'll discover how engineering advancements can be transformed into industry-specific solutions across finance, HR, legal, and procurement, and why AI is now a business-driven agenda with IT ensuring security, architecture, and data readiness. You can also take a glimpse into how local market feedback informs product development, while public sector constraints inspire practical innovations like fraud detection and service productivity. Trust and responsibility are at the core of every decision. This episode covers data classification, access controls, content policies, and review boards that mitigate bias and misuse—alongside training that empowers individuals to verify sources and question outputs. Education emerges as a key driver, with teachers and students using AI to enhance critical thinking rather than bypass it. Looking forward, agentic workflows will reshape work structures as teams learn to manage fleets of agents. With the addition of quantum computing, breakthroughs in fields like Pharma could accelerate significantly, displaying results rather than interfaces. If you're committed to AI adoption, this is your guide: establish boundaries, aim for impact, measure what counts, and combine human insight with machine efficiency.Join us and listen to all episodes on www.pwc.be/aiunscripted
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