AWS Summit Hamburg 2026

Autonomous AI Agents accelerate software delivery — humans stay in control.

Software engineering is becoming more autonomous. AI agents take over operational tasks across the entire development lifecycle — from code review and test generation to release coordination and incident analysis. The result is radical acceleration, but also new dependencies.

However, scale does not emerge from autonomy alone. It emerges when autonomous systems are guided, constrained, and governed. At the AWS Summit, MHP demonstrates how Autonomous Delivery works in practice:

• AI agents increase speed and productivity in engineering
• Humans retain decision authority over architecture, approvals, and critical interventions
• Governance, security, and compliance are integral parts of delivery pipelines
• Sovereign architectures ensure flexibility of choice, auditability, and long-term scalability

The result: Speed by AI — Sovereignty by Design.

Three cases you can experience at the booth:

1. Autonomous Delivery Factory — Speed at Engineering Scale

• AI-agent-driven code reviews, testing, and documentation
• Fully automated release factory from commit to production
• Engineers focus on architecture and design decisions

Result: Massive acceleration with controlled quality

2. Sovereign AI Agents — Autonomy with Human Control

• Trusted agent runtime with audit trail, role model, and kill switch
• Every agent action is traceable and approval-ready
• Decision authority explicitly remains with humans

Result: Trust in autonomous systems – even in regulated environments

3. From Cloud to Autonomous — Scaling without Losing Control

• End-to-end delivery lifecycle from cloud foundation to autonomous operations
• Platform engineering as the foundation for scalable autonomy
• Governance embedded into daily operations — not only during audits

Result: Organization-wide scaling of autonomous delivery models