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

POC Prison: Why agentic systems never escape the lab and how to fix that in 90 days

Luise Freese

Enterprise agentic systems are trapped in POC prison by dirty data and operational fear, not bad models. Execute this 90-day framework to break out and reach production scale.

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#1 about 6 min

The gap between enterprise AI promises and production reality

Agentic AI projects frequently stall as disconnected rule-based automation instead of reaching real production deployment.

#2 about 3 min

Why artificial intelligence prototypes fail to deliver measurable value

Testing with synthetic data and fake processes prevents prototypes from securing the required budget for legitimate deployment.

#3 about 3 min

The trap of temporary solutions and operational deployment paths

Proof of concepts become deployment traps when organizations lack defined operational paths for enterprise users.

#4 about 3 min

Evaluating agentic systems through technical, organizational, and cultural lenses

Successful deployments require repeatable technical pipelines, explicit business accountability, and cultures that reward operational usage over executive demos.

#5 about 2 min

How organizational reality and messy data choke agent autonomy

Underlying chaotic processes and nonexistent permission models guarantee that adding intelligent agents will not fix broken foundations.

#6 about 4 min

Overcoming innovation bubbles, fear ops, and metrics avoidance

Innovation teams lacking clear operational mandates suffer from accountability gaps that lead to highly manual human-in-the-loop dependencies.

#7 about 3 min

Confronting dark data and compliance hurdles in enterprise deployments

Organizations hide behind experimental boundaries to avoid facing vast amounts of undocumented data and rigorous audit requirements.

#8 about 4 min

A structured 90-day execution program for real production deployment

A strict three-phase sequence forces organizations to confront legacy processes, mandate business ownership, and execute supervised operations.

#9 about 3 min

Establishing paved roads and tiger teams for rapid deployments

Implementing governance as code and assigning cross-functional tiger teams circumvents organizational overhead and enables immediate operational impact.

#10 about 4 min

Enforcing executable governance and explicit agent authority in production

Baking compliance checks directly into deployment pipelines prevents endless discussions and prioritizes readiness over clever technical additions.

Matching moments

2:52 min

Designing agentic AI solutions for the enterprise

Damir Dobric · Coffee With Developers

6:30 min

Common reasons why enterprise AI agent projects fail

Axel Schell Axel Schell +2 · World Congress 2026 Europe

2:03 min

Addressing institutional inertia and AI pilot failures

Alexandre Guenoun Alexandre Guenoun +3 · World Congress 2026 Europe

3:33 min

Crucial lessons for deploying generative AI in enterprises

Alexander Trusheim Alexander Trusheim +1 · World Congress 2025

2:28 min

Introduction to building reliable AI agents in production

Max Tkacz Max Tkacz · World Congress 2025

2:21 min

Overcoming operational challenges in AI adoption

Björn Bringmann Björn Bringmann +3 · World Congress 2024

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