What happens when AI meets low-code?

Enterprise Software Development Put to the Test: Faster Development with AI—Without Sacrificing Control, Security, and Governance.

In this webinar, Marco Spoel (AI Product Manager & Low-Code Architect, T-Systems International) and Christopher Bouveret (CIO & Co-Founder, Simplifier) discuss how AI and low-code can be effectively combined in an enterprise environment.

T-Systems shares insights from real-world experience: By using AI in software development, performance per developer has increased significantly. At the same time, it is clear that speed alone is not enough—applications must be securely integrated, manageable, and capable of long-term operation.

A key point made by both speakers: AI is taking on more and more tasks in the implementation process, while architecture, permissions, integration, and governance remain clearly defined.

Here’s what you can expect from the 45-minute webinar:

• How AI and Low-Code Work Together Effectively in Enterprise Software Development
• How T-Systems Used AI to Measurably Improve Performance Per Developer
• Why Guardrails and a Human-in-the-Loop Approach Are Essential When Deploying AI
• How to Safely Integrate AI into SAP and Other Enterprise Systems
• How to Achieve Digital Sovereignty with Locally Operated or Sovereign AI Models—Without Being Locked into Individual Providers

The Four Most Important Takeaways

1. The platform comes first. AI without governance is an experiment. The platform must enforce standards and release gates—before AI gains momentum.
2. MCP as a bridge. According to T-Systems, the Simplifier MCP Server has had a positive impact on business and IT. Contextual access is what makes AI assistance truly useful.
3. “Human-in-the-loop” is not a compromise. Review and approval prior to going live are essential for the 90 percent AI adoption rate to be a success.
4. Share experiences systematically. Prompts, SKILLS files, error patterns—what a developer learns shouldn’t stop with them.