Enterprises have long relied on systems of record: databases and applications optimized for capturing and reconciling business data as the authoritative source of “what happened”. These human-centric architectures with rigid schemas and batch processes create barriers for agentic AI, which requires perceiving context, reasoning, and taking real-time action. This session explores the shift to systems of action, where an intelligence layer augments (rather than replaces) existing systems of record, enriching business objects with agent-generated insights to enable faster, smarter decisions.

Generative AI is only as valuable as the structure behind it. While simple interfaces are great for prototyping, enterprise-grade autonomy requires a structured approach to ensure reliability and governance. In this workshop, we dive into the visual tools within Dataiku to build Autonomous Agents—AI workers designed to follow complex business rules, safely access enterprise data via the LLM Mesh, and execute multi-step tasks. We will explore the design patterns that separate "toy" use cases from sophisticated agentic loops, moving from basic interactions to robust engines that solve real organizational challenges.

Maximize your learning at GenAI Zürich with this hands-on workshop designed for executives, product managers, innovation managers and founders. In a condensed 50-minute sprint, your team will tackle a set scenario and build a minimal working prototype with the help of Claude Code. Immediate, expert coaching from S-PRO facilitators ensures rapid progress and technical breakthroughs. Perfect for maximizing hands-on experience and showcasing the speed of GenAI development. No prior coding or AI expertise needed!