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About us

Most companies are trying to add AI to existing structures. We explore what happens when you design the enterprise around AI instead.

The AI Native Enterprise is a space to rethink organizations from first principles: processes, roles, governance, and technology. Inspired by past shifts like cloud-native and platform thinking, we ask what it means to become truly AI-native.

For those who believe the real challenge is not the technology—but the organization.

We collaborate closely with the KI-Park, connecting practitioners, researchers, and innovators across the AI ecosystem.

Our meetups bring together people from different perspectives:
– Leaders and practitioners from enterprises sharing real-world experiences
– Researchers exploring the frontiers of AI and organizational design
– Visionaries challenging how we think about the future of work and organizations

We focus on honest insights, not hype—what works, what fails, and what needs to change.

Examples of topics we explore:

  • AI-native operating models and org design patterns
  • Context engineering and prompt architecture at scale
  • MCP governance and control layers for agent ecosystems
  • Autonomous agents: orchestration, delegation, and supervision
  • Human-in-the-loop vs. human-on-the-loop systems
  • Multi-agent systems and emergent workflows
  • LLMOps, evaluation frameworks, and continuous alignment
  • Data contracts, semantic layers, and AI-ready data architecture
  • Build vs. buy vs. compose: platform strategies in the AI era
  • API-first vs. agent-first architectures
  • Trust, safety, and governance for AI in enterprises
  • Organizational implications of synthetic labor
  • Decision-making in probabilistic systems
  • The future of roles: from operators to orchestrators
Lunch Box - Increasing Maturity Levels of AI in Engineering Teams

Lunch Box - Increasing Maturity Levels of AI in Engineering Teams

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Online
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### 🚀 Update 🚀

We are excited to announce that we have successfully invited Cursor to join this meetup!

Joining us live will be Riley Macdonald (Solutions Engineer) and Naoufal El Hassnaoui (Field Engineer) from Cursor, who will provide insights into how one of the fastest-growing AI developer platforms is approaching AI adoption in enterprise software engineering.

The session has been expanded with live demonstrations covering topics such as:

  • AI across the Software Development Lifecycle (SDLC)
  • Token spend and cost optimization
  • Enterprise analytics and ROI
  • Context engineering across multiple repositories
  • Organizations, governance and AI agents
  • Interactive Q&A throughout the session

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Artificial Intelligence is rapidly changing how software is built. While many teams have started experimenting with AI-assisted coding, successfully scaling AI across enterprise software development requires much more than adopting a new coding assistant.
In this meetup, we explore how organizations can increase the maturity of AI in their software engineering organizations—from individual developer productivity to enterprise-wide Software Development Lifecycle (SDLC) automation.

Together with Cursor, we'll discuss the practical challenges enterprises face today:

  • How do you control AI costs?
  • How do you measure business impact?
  • How do you provide AI with the right enterprise context?
  • How do you scale AI beyond coding into planning, testing and operations?
  • What governance models are required for enterprise adoption?

The session combines strategic discussion with live demonstrations and interactive Q&A, providing both technical and organizational perspectives on building AI-native engineering teams.

### Who should attend?

  • Engineering Managers
  • Software Architects
  • Platform Engineers
  • CTOs and Technology Leaders
  • AI Engineers
  • Anyone interested in scaling AI across enterprise software development

We look forward to an interactive discussion with the Cursor team and all participants.

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