Applied AI Architecture

Architecture for effective and integrated AI applications
Herausforderung

Integrate AI into processes and systems - avoiding silos and architectural inconsistencies.

What is the core concept?

The Applied AI Architecture describes how AI is specifically and effectively embedded into existing business processes, applications, and system landscapes. It translates strategic objectives and reference architectures into a practical architecture that enables real-world use, integration, and impact.

The focus is not on AI technology itself, but on its consistent embedding into business processes, existing IT systems, and operational processes. The Applied AI Architecture ensures that AI is not developed in isolation, but rather contextualized, integrated, and sustainably usable is.

Relevanz

Warum das jetzt relevant ist

When is this approach suitable? For which scenarios?

The Applied AI Architecture is particularly suitable for organizations that:

  • want to integrate AI directly into business processes and workflows
  • extend existing applications with AI functionalities
  • need to consistently embed multiple AI use cases into their IT landscape
  • want to ensure operational impact and acceptance
  • want to operate AI as part of production systems

It is relevant wherever AI is practically applied and is not just considered conceptually.

Ansatz

System & Struktur des Ansatzes

How is the solution logically structured? What components does it include?

The Applied AI Architecture defines core architectural building blocks for the productive use of AI, including:

  • Process & Use Case Embedding
    Clear integration of AI functionalities into business processes and workflows.
  • Application & Integration Architecture
    Connecting AI components with existing applications and systems.
  • Data & Model Integration
    Utilizing relevant data sources and models in an operational context.
  • Technical Implementation Layer
    Architecture for services, APIs, and AI-enabled applications.
  • Integration with Enterprise Architecture
    Consistent integration into Enterprise AI Reference Architecture and platform models.

The Applied AI Architecture serves as a bridge between target architecture and real-world utilization.

Outcome

Struktureller Mehrwert für Unternehmen

The Applied AI Architecture enables companies to:

  • Effectively integrate AI into business processes
  • Achieve higher adoption through contextual utilization
  • Reduce siloed and custom solutions
  • Faster implementation of specific AI use cases
  • Sustainable enhancement of existing systems through AI

AI thereby unleashes tangible benefits in daily operations.

Die Umsetzung erfolgt durch spezialisierte Teams

Applied AI & Business Automation

Applied AI where work happens – Copilot, automation, and productive everyday use.

Enterprise AI & Data Engineering

We orchestrate autonomous AI agents into controlled, scalable enterprise workflows.

Integration & Enterprise Connectivity

We connect AI directly with operational business processes – standardized, modular, and secure. This ensures use cases become productive instead of remaining isolated.

Digital Product Engineering

Digital products that users love – agilely designed, cloud-based, and sustainably developed.