Key Point: Without a standardized digital process foundation, every AI agent implementation remains a time-consuming isolated project; a documented process landscape enables true scalability and production readiness.
AI agents today still require individual, time-consuming implementation projects. Without a standardized digital process foundation, their scaling remains a repeated isolated project – yet this foundation itself is the key to achieving genuine operational production readiness.
The deployment of agentic AI promises significant automation potential: AI agents can do more than generate text; they can execute concrete process steps – such as reviewing purchase orders in procurement and automatically forwarding them to suppliers. This relieves employees from manual clicking in ERP systems and addresses the persistent shortage of skilled workers as an efficiency bottleneck.
The central challenge lies in implementation: for an agent to make the right decisions and execute only authorized actions, it must be trained with detailed process knowledge, defined boundaries, and company-specific rules. This calibration is highly individual and time-consuming – the effort repeats with each new AI scenario. Many organizations therefore treat agentic AI as an isolated project rather than as a scalable technology.
The solution lies in a digital process landscape as a technological foundation. This documents all process steps of a task in a form that AI can understand, mapped to the specific workflows, step sequences, and data requirements of the respective organization. Based on this landscape, AI agents can be flexibly deployed at any point without needing to be redesigned or retrained.
This foundation requires initial preparatory work but subsequently creates genuine production readiness: new agents can be built on top of the existing process landscape and immediately generate efficiency gains across various task domains. This transforms agentic AI from an isolated project into a reusable, scalable component of IT infrastructure.
Source: www.it-daily.net · Published July 7, 2026
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