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Your banking app has already completely transformed everyday banking. The next shift’s even bigger—banking that feels like a conversation. At the end of April, just a few days before becoming CEO of Belfius, we engaged with Olivier Onclin to unpack what it truly takes to move from traditional digital channels to conversational AI, and why the "wow" factor only matters if the underlying processes are rebuilt end to end.

We get practical about how AI in banking has evolved over decades, from scripted automated decision making in credit models to compliance automation, and now to large language models that can reshape the client experience. Olivier explains why efficiency and customer experience are tightly linked, why the talent challenge is real even for well-prepared organisations, and why late starters still need to jump in quickly while treating AI as a management journey, not a plug-in tool.

Next, we explore trust in AI. Olivier breaks it down into four clear dimensions: transparency (people should know they're talking to a machine), security (including cybersecurity for consumers), a human layer (AI cannot replace basic humanity), and sovereignty. When it comes to sovereignty, we discuss European AI and why Belfius favours European providers when performance is comparable, including a partnership with Mistral, alongside the broader need for resilient infrastructure and cooperation across European players.

We also tackle the uncomfortable topic of ROI. If the best transformations can take seven to ten years to pay back, how do leaders justify AI investments in uncertain times and short reporting cycles? If you care about digital transformation, AI governance, cybersecurity, and the future of customer experience in financial services, this conversation will provide a sharp framework and real-world constraints.

If this episode has sparked new ideas on conversational banking, AI governance, and responsible AI in your organisation, subscribe, share it, and leave a review.

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Energy independence is no longer an abstract policy goal when your region imports most of its oil and gas and global tensions spike prices overnight. We sat down with Grégoire Dallemagne, CEO of Luminus, one of Belgium’s largest electricity producers and energy suppliers, to talk about the fastest path to lower emissions and stronger sovereignty—electrification. We walk through the simple physics behind electrification, from why electric vehicles use far less energy per mile than thermal cars to why heat pumps outperform gas boilers, and how shifting more of daily life to electricity can shrink total energy demand.

Then we get practical about AI. Electrification sounds straightforward until you look at what it does to the grid and to customer expectations—smart metres create real-time energy data, renewables add weather-driven variability, and people want prices and guidance that match the moment. We unpack how Luminus uses AI and machine learning for renewable energy forecasting, how smarter models help integrate wind and solar into the electricity system, and how AI-enabled tools support flexibility like smart EV charging that’s cheaper for customers and healthier for the network.

We also tackle the tough questions. AI uses electricity, so when is it worth it and how do you keep “garbage in, garbage out” from undermining results? Grégoire explains why solid processes and data governance matter, how internal AI governance supports safe adoption, and why the standard for customer experience is rising fast with large language models (LLMs). If you care about AI in energy, the Belgium energy market, grid flexibility, or the future of electrification in Europe, this conversation gives you a grounded, operator’s view. Subscribe, share with a friend in energy or tech, and leave a review with your biggest question about electrification and AI.

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AI’s finally crossing the line from demos to day-to-day work, and the hardest part isn’t the model, it’s the operating system around it. We sit down with Claudia Max, Regional CEO of Allianz Benelux, to get specific about how a major insurer approaches AI implementation across core processes like claims, underwriting, and operations while keeping trust and data protection at the core.

We talk about the shift from scattered proofs of concept to scaling real capabilities, including voice bots and enterprise knowledge assistants that help employees find accurate client and customer information faster. Claudia shares how Allianz builds a practical map of customer journeys, then identifies where AI agents can improve coverage checks, decision quality, and service speed. The big takeaway—generative AI creates the most value when it forces you to rethink the journey, not just automate a step.

Because insurance runs on trust, we also get into governance and responsible AI—group-wide frameworks, local transformation teams, AI ambassadors in each department, and the non-negotiables like human-in-the-loop decision making and transparency. We cover the messy reality of vendor selection in a fast-moving market, plus why many leaders “see AI everywhere except in the P&L” and what to measure as adoption grows.

If you’re building an AI strategy for a regulated enterprise, this conversation offers a grounded playbook for AI adoption, AI governance, workforce AI training, and customer experience improvements without losing control. Subscribe, share this with a colleague, and leave a review with the one AI challenge you want us to tackle next.

Join us and listen to all episodes on www.pwc.be/aiunscripted