For many financial institutions, Quality Assurance (QA) has ballooned into a massive liability, costing millions and stalling deployment. This session exposes the playbook leading banks use to turn this cost center into a competitive advantage. We explore the shift from manual grunt work to human-supervised AI agents. This approach delivers the speed of automation with the safety of expert oversight. We will analyze real-world cases showing how this specific AI implementation slashes overhead and dramatically.

This talk shares Zürcher Kantonalbank’s (ZKB) journey in developing and implementing its Artificial Intelligence strategy. It outlines how the approach was crafted, with a focus on technology, people, governance, and real-world applications. Selected use cases are highlighted to illustrate how the strategy is being applied in practice. The session also describes where ZKB stands today, reflects on key lessons learned along the way, and outlines the next steps as the organization continues to unlock the potential of AI.

For years, Citadele bank has led our region in customer experience, but the expectations of banking clients are evolving rapidly. Today, customers compare their banking interactions not to other banks, but to the seamless, personalized journeys delivered by global social media platforms and world‑class e‑commerce leaders. To understand how the industry is responding, we engaged with top banks worldwide and discovered three common challenges shaping the future: the need to strengthen collaboration between Business and IT, unlock greater data availability, and choose whether to innovate slowly alone or progress faster together. Amid the noise surrounding artificial intelligence, one theme consistently proves real and impactful—hyper‑personalization. Banks are turning to AI‑driven personalization not only to boost commercial performance but to elevate customer experience to entirely new levels. In this presentation, we share how Citadele is applying hyper‑personalization in sales automation, with concrete, real‑world examples. Most importantly, we demonstrate how to measure the true value of these initiatives and showcase a major corporate success story that highlights the tangible business impact of AI done right.

Culture can make or break any strategy and is resistant to change. How do you bring your culture on the AI journey? Which skills are going to ensure future success? What happens if you don't factor in the human and ethical elements as part of your AI journey? Come and learn why the human and ethical side are so critical to sustainable strategic outcomes.

Most companies are still experimenting with GenAI, but very few manage to scale beyond pilots—especially in highly regulated industries like insurance. In my talk, I will share how we moved from isolated GenAI use cases to designing and delivering the first Agentic AI–native claims-handling platform across three companies and five countries within a global insurance group. I will explain how Agentic AI changes process design, product architecture, and governance, and what it takes in reality to orchestrate multiple specialized AI agents while ensuring safety, reliability, and compliance with the AI Act, GDPR, and DORA. The talk focuses on practical learning: how to design agent roles and orchestration patterns, how to build trust and non-functional safeguards into autonomous flows, how to prepare the workforce for AI-centric operations, and how to balance speed with regulatory requirements. Attendees will leave with a concrete playbook for evolving from GenAI experiments to an AI-native operating model and with insights into the measurable impact on productivity, quality, and customer experience in claims handling.

Selling insurance or banking products usually involves analysing a lot of documents. With the AI Concierge, we greatly simplify our insurance and banking agents lives. The concierge analyses third party car insurance contracts as well as securities account statements and instantaneously creates a counter offer or an investment proposal.

This session explores how to design context-first AI architectures where retrieval, memory, metadata, and workflow logic work together to ground LLMs in the right information at the right time. I will break down the building blocks of context engineering, vector search, structured context injection, guardrails, and adaptive memory and discuss how to build systems that reduce hallucinations, improve reasoning, and deliver reliable real-world performance in the business. Attendees will walk away with practical patterns for designing AI applications that adapt with high contextual intelligence.

The problem: AI is moving faster than most organisations can respond to. $285B was wiped from legal and finance tech almost overnight when foundation model companies started competing directly with their own customers. Most professionals know AI matters but don't have a clear picture of what to do, in what order, and why. The approach: We walk through how AI adoption actually evolves inside organisations — from individual productivity tools through to full agentic workflows. We cover the tech investments that matter, how to avoid LLM lock-in, and what the shift to agentic AI means in practice, including MCP architecture and RAG pipelines explained without the jargon. Key takeaways: A four-layer AI strategy you can map your organisation against today Why your competitive advantage lives in Layer 3 — proprietary data plus a frontier model A three-phase agentic AI roadmap: connect, build your first agent, scale to multi-agent

GenAI promises to transform how organizations work — but turning that promise into secure, scalable, real‑world solutions is often harder than it seems. In this talk, discover how Migros built a flexible, enterprise‑grade chatbot platform that enables teams to create powerful assistants in just minutes, without compromising on security, governance, or quality.
Two years ago, we created our first chatbot — and quickly learned that technical innovation was only one part of the challenge. Alongside building early prototypes, we had to navigate aligning stakeholders and define governance models that satisfied both business needs and strict security requirements. This journey laid the foundation for what would eventually become our Chatbot Creator Platform.
In this session, we’ll show you that platform in action, share the lessons we learned while creating it, and explain how we built a system that now empowers teams across Migros to ship AI assistants in record time. You’ll walk away with practical insights for scaling GenAI in a complex enterprise environment — beyond the hype and toward real, sustainable impact.

"The model isn't sure", "The AI assistant wants to be helpful"…. We use these phrases daily as shorthand, but are they undermining your risk strategy? This talk argues that anthropomorphic language is a big sleeper risk in GenAI governance today. When we assign human verbs—thinking, deciding, lying—to probabilistic systems, we create an "Illusion of Intent." This linguistic drift isn't just a semantic annoyance; it is a governance hazard. It hacks human empathy, creates false trust, and obscures liability by treating system failures as character flaws. In this session, we will dismantle the habit of humanizing the machine. We will explore how precise, de-anthropomorphized language acts as a firewall for ethical safety and improves collaboration between Legal, Tech, and Product teams. Join us to learn why the most critical update to your governance framework isn't new code—it's a new vocabulary. Let’s stop governing the ghost and start governing the tool.

Conscious Humans Lead: The Ethical Decision Architecture for Safe GenAI Scaling Many organisations are accelerating their GenAI initiatives, yet most struggle to move beyond pilots into safe, reliable, enterprise scale. The core problem is not the technology. It is the quality of human judgement, ethical awareness, and decision structures that surround it. In regulated industries in particular, unconscious decision habits, legacy governance models and unclear accountability create hidden risks that block GenAI’s strategic potential. This talk introduces a Conscious Humans Lead approach to GenAI adoption. It emphasises that safe scaling begins with humans who understand the implications of AI, can recognise behavioural and ethical blind spots, and can guide the technology with clarity and intention. Drawing on applied work and research in financial services and other regulated environments, I explore how organisations can build ethical intelligence, design higher quality decisions and create value in ways that are sustainable, socially aware and aligned with long term shareholder expectations. Participants will learn: • why human behaviour and governance maturity are the central barriers to safe GenAI scaling • the most common ethical and behavioural failure patterns that appear in real implementations • practical methods for strengthening ethical intelligence and decision quality • what leaders must prioritise to scale GenAI responsibly in 2026 and beyond Attendees will leave with a practical framework for aligning people, decisions and AI systems to enable safe, ethical and accelerated GenAI scaling.