Proof of concept

Well-founded decisions on a sound technical basis.

A proof of concept (PoC) is used to test key assumptions under realistic conditions before investing extensive resources in implementation.
It provides clarity as to whether and how a project is technically and organizationally feasible.

The focus is not on complete implementation, but on specific proof of feasibility.

For whom is a proof of concept useful?

A proof of concept is suitable for organizations that…

want to validate a specific solution idea.

want to reduce technical or organizational risks at an early stage.

have to compare several solution options.

are about to make an investment or architectural decision.

It is typically used after a conceptual phase or preliminary technical study when key assumptions need to be checked.

What is implemented in the proof of concept

The proof of concept deliberately focuses on a clearly defined sub-area in order to gain reliable findings.

Delimitation of the scenario

Together we define:

Technical implementation

A functional prototype is implemented on the basis of the defined requirements:

Evaluation and derivation

The prototype is systematically evaluated:

Result of the proof of concept

At the end of the proof of concept, a sound basis for decision-making is available:
  • Validated assumptions and findings

  • Clear statement on technical feasibility

  • Recommendations for further action

  • sound basis for possible implementation or further development

The proof of concept is deliberately not a productive system, but a targeted decision-making tool.

KI in der Prozessautomatisierung Vol. 2:
KI-Workflows in der Praxis

Webinar am 9. Juli 2026, 10:00 - 10:30 Uhr

Viele Unternehmen haben erste KI-Prototypen umgesetzt – doch der eigentliche Mehrwert entsteht erst im produktiven Prozess. In diesem Webinar zeigen wir, wie KI-Funktionen zuverlässig in bestehende Workflows integriert werden: mit klarer Prozesslogik, Human-in-the-Loop, Governance und Fallbacks für unsichere Ergebnisse.

 

Sie erfahren, wie aus einzelnen KI-Ideen belastbare Prozesse werden und wie klassische Workflow-Automatisierung und KI sinnvoll zusammenspielen. Live dabei sein lohnt sich: Stellen Sie Ihre Fragen direkt und erhalten Sie im Nachgang Aufzeichnung, Folien und Q&A.