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

Running AI at Scale: The Secret Ingredients

Boris Hecker , Max Tschochohei , Peter Kürpick , Tomislav Tipurić

Deploying autonomous AI agents requires a zero-trust approach where bots never inherit human permissions. Discover how to conquer the final gap of enterprise AI production without exploding costs.

Pause
Mute Enter Fullscreen
#1 about 5 min

Overcoming the final implementation barrier for production AI

Reaching the final stages of production readiness requires rigorous governance and strict tolerance benchmarking.

#2 about 6 min

Architecting security and permission models for autonomous agents

Implementing strict identity concepts and proprietary permissions ensures agents operate safely without blindly inheriting human access.

#3 about 3 min

Adapting the software delivery lifecycle for client compliance

Tailoring deployment processes to industry-specific auditing and testing standards is essential for successful enterprise adoption.

#4 about 3 min

Transitioning to precise requirements engineering for AI workflows

Eliminating vague specifications prevents automated systems from generating unpredictable and untestable variations of business processes.

#5 about 3 min

Mitigating cascading failures in AI generated software environments

Enforcing test-driven development and mandatory logic reviews ensures that automated code generation does not compromise downstream systems.

#6 about 4 min

Managing codebase bloat and preserving critical software auditability

Balancing rapid automated generation with strict quality governance keeps critical infrastructure code readable and securely manageable.

#7 about 4 min

Evaluating non-deterministic agentic systems using qualitative model assessments

Utilizing golden datasets and secondary judge models provides scalable assessment methods for unstructured agent responses.

#8 about 2 min

Defining human-in-the-loop accountability for continuous automated decisions

Establishing precise operational guardrails allows organizations to maintain ultimate control without manually approving every automated action.

#9 about 3 min

Establishing foundational operational standards for enterprise AI scalability

Mandating clear security policies and cost-aware token economics prevents runaway expenses while safely scaling deployment.

Matching moments

2:28 min

Introduction to building reliable AI agents in production

Max Tkacz Max Tkacz · World Congress 2025

2:52 min

Moving beyond demos to build production-ready software

Seth Webster Seth Webster · World Congress 2026 Europe

2:43 min

Best practices for implementing reliable AI agent frameworks

Marcel Scherenberg Marcel Scherenberg · World Congress 2025

1:09 min

Resolving developer challenges in AI agent implementation

Ricardo Ricardo · World Congress 2025

2:03 min

Addressing institutional inertia and AI pilot failures

Alexandre Guenoun Alexandre Guenoun +3 · World Congress 2026 Europe

3:13 min

Why scaling AI is harder than traditional software

Deivids Vilkinsons Deivids Vilkinsons +3 · World Congress 2026 Europe