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World Congress 2026 Europe • Jul 10, 2026 • Session details

This App Reached 10,000 Users in One Week. Here's How.

Mahran Meißner

Siemens proves that scaling AI development relies on orchestrating automated agents, not writing faster prompts. Discover how they safely deployed an enterprise app to 10,000 users in seven days.

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#1 about 2 min

Building an enterprise World Cup application in seven days

Launching an internal sports prediction game required meeting strict corporate guidelines and scaling rapidly.

#2 about 4 min

Navigating corporate requirements and legacy architectures

Enterprise development involves extensive compliance, security, and architectural reviews that typically delay deployment by weeks.

#3 about 3 min

Shifting from individual coding to collaborative orchestration

Moving beyond local code generation to an enterprise platform allows teams to share prompts and coordinate development.

#4 about 2 min

Structuring development phases with the Create platform

Using specialized agents across analysis, requirements, architecture, and implementation tasks accelerates the transition from idea to prototype.

#5 about 2 min

Integrating internal APIs and maintaining data sovereignty

Agent-to-agent protocols connect internal data systems like Snowflake while ensuring control over language models.

#6 about 2 min

Ensuring security with sandboxing and environment isolation

Running newly generated prototypes in isolated sandboxes prevents unauthorized access to corporate infrastructure until formal approval.

#7 about 2 min

Showcasing the employee experience and team collaboration

Developers use guided and free modes to generate backend platforms while collaborating on shared corporate challenges.

#8 about 3 min

Estimating project costs and resource requirements with AI

Generating internal event management systems automatically provides baseline financial estimations compared to traditional senior developer approaches.

#9 about 2 min

Managing the transition from prototype to production

A production request board filters applications based on business value and initiates necessary reviews for maintenance constraints.

#10 about 2 min

Deploying platform updates without disruptive maintenance windows

Releasing features continuously ensures that internal users and active application sandboxes experience zero downtime.

#11 about 2 min

Automating internal support tickets with AI agents

Dedicated agents classify incoming platform issues and resolve frequently asked questions without immediate human intervention.

#12 about 4 min

Measuring application adoption and addressing AI bottlenecks

Reviewing rapid user adoption metrics highlights ongoing challenges in cost estimations and the need for automated security checks on AI-generated code.

Matching moments

1:56 min

Scaling AI adoption to non-traditional enterprise developers

Neel Sundaresan Neel Sundaresan +1 · WWC Europe 2026

5:27 min

The illusion of building enterprise apps over a weekend

Dirk Gronert Dirk Gronert · WWC Europe 2026

1:12 min

Building intelligent applications and enhancing developer productivity experiences

Alexander Wallner Alexander Wallner +3 · WWC 2024

4:40 min

Using AI to rapidly prototype intuitive application features

Artur Ortega · A11y + AI

2:52 min

Scaling generative AI use cases across large enterprises

Mike Butcher Mike Butcher +3 · WWC 2024

1:21 min

Using artificial intelligence to reimagine developer experience

Alexander Trusheim Alexander Trusheim +1 · WWC 2025

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