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World Congress 2025 β€’ Aug 20, 2025 β€’ Session details

Composable Intelligence: How Henkel and Microsoft Are Shaping the Agent Ecosystem

Dennis Zielke , Manuel Schettler

Standard LLMs fail at complex enterprise tasks. Learn how Henkel and Microsoft engineered a composable, semi-autonomous agent ecosystem that achieves governed autonomy without stifling developer innovation.

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#1 about 1 min

Introduction to building real-world AI agent solutions

An overview of the partnership focusing on building and applying agentic solutions to real-world industrial problems.

#2 about 6 min

Scaling product knowledge with proactive enterprise voice agents

How a vast product catalog and scattered knowledge bases create the need for highly context-aware voice agents in chemical research.

#3 about 2 min

Defining true agent behavior versus traditional enterprise chatbots

Why modern agents must act semi-autonomously to decompose objectives, plan ahead, and invoke specialized APIs in complex scenarios.

#4 about 3 min

Balancing technology capabilities with market demands in innovation

A collaborative framework for safely evaluating and pushing new technological capabilities toward impactful production business solutions.

#5 about 3 min

Designing an open agent platform with governed autonomy

Establishing platform principles that give developers freedom to innovate while maintaining guardrails against compliance and budget pitfalls.

#6 about 5 min

Architectural building blocks for enterprise agent development platforms

How to layer essential features like workflow logic, data access, memory, observability, and strong developer experience above the cloud infrastructure.

#7 about 2 min

Overcoming data complexity and context retrieval formatting challenges

Using knowledge graphs and memory to bridge structured relational databases with unstructured data for nuanced, context-aware prompt generation.

#8 about 2 min

Implementing open standards for distributed agent communication

Leveraging open protocols to ensure secure data sharing, agent discovery, and bidirectional agent-to-agent interactions at an enterprise scale.

#9 about 2 min

Applying resilient software principles to slow generative models

Migrating twelve-factor app principles and robust error handling directly into prompts to compensate for unpredictable API responses and slow models.

#10 about 4 min

Demonstrating a voice-assisted agent for hands-free workflows

A practical exercise showing how a voice-driven agent queries product catalogs and manages complex constraints without a traditional user interface.

#11 about 2 min

Addressing data quality challenges and organizational adoption barriers

Why providing exceptional data quality and managing user resistance to unfamiliar agent interfaces remain the hardest challenges in adoption.

Matching moments

2:52 min

Designing agentic AI solutions for the enterprise

Damir Dobric Β· Coffee With Developers

1:22 min

Leveraging the comprehensive generative artificial intelligence stack

Duan Lightfoot Duan Lightfoot Β· WWC 2024

2:02 min

Shifting focus from isolated models to enterprise AI systems

Mohak Chadha Mohak Chadha Β· WWC Europe 2026

2:44 min

Understanding language models and autonomous executing agents

Chris Heilmann +2 Β· LIVE

1:32 min

Building autonomous functions with conversational agent frameworks

Modood Alvi Β· WWC 2025

1:44 min

Summarizing developer experience and artificial intelligence companions

Robert Hoffmann Robert Hoffmann +1 Β· LIVE

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