Integration Layer

Integration Layer for Networked Enterprise AI
Herausforderung

Seamlessly integrate AI systems into existing applications and processes, without silos or data fragmentation.

What is it fundamentally about?

The Integration Layer describes the connecting layer between AI systems and a company's existing IT landscape. It ensures that AI does not operate in isolation, but rather continuously interacts with line-of-business applications, data sources, and processes.

The focus is on the ability to reliably, securely, and scalably embed AI functions into existing system landscapes. The Integration Layer thus creates the prerequisite for AI results to become effective where decisions are made and processes are executed.

Relevanz

Warum das jetzt relevant ist

When is this approach suitable? For which scenarios?

The Integration Layer is particularly relevant for organizations that:

  • connect AI with existing core systems (e.g., ERP, CRM, line-of-business applications)
  • need to consistently connect multiple data sources and systems
  • want to feed AI results back into operational processes
  • operate hybrid or evolved IT landscapes
  • want to avoid scaling in a way that creates new integration silos

It is suitable wherever AI is intended to become part of existing process and system chains .

Ansatz

System & Struktur des Ansatzes

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

The Integration Layer defines core integration and orchestration principles for Enterprise AI, including:

  • System & Application Integration
    Connecting AI systems to existing applications and platforms.
  • Data & Event Flows
    Exchange of data, events, and results between AI and enterprise systems.
  • Orchestration & Control
    Coordination of processes across system and process boundaries.
  • Interfaces & APIs
    Standardized, secure, and reusable integration mechanisms.
  • Embedding in Architecture & Operations
    Alignment with Enterprise AI Architecture, Secure Platform, and Operating Model.

The Integration Layer is a structural link, not a single integration product.

Outcome

Struktureller Mehrwert für Unternehmen

The Integration Layer enables organizations to:

  • Seamless end-to-end processes with AI support
  • Reduction of integration gaps and media breaks
  • Faster utilization of AI results in daily operations
  • Higher reusability and scalability
  • Stable embedding of AI into existing IT landscapes

This makes AI integratable, effective, and sustainably usable.

Die Umsetzung erfolgt durch spezialisierte Teams

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.

Enterprise AI & Data Engineering

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

Cloud Platform Engineering

The secure, scalable platform foundation for cloud and AI workloads.

Digital Product Engineering

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