From process management to end-to-end digital administration

Lengthy processes are costly and often fail to meet the desired service standards, even within public authorities. Business process management specifically targets these inefficiencies and ensures the sustainable optimization of cumbersome workflows. This reduces throughput times while increasing satisfaction among employees and applicants alike. By redesigning processes, responsibility for operational tasks can be delegated, which strengthens customer orientation and relieves managers. A modern, service-oriented culture can emerge -one that also appeals to young professionals.

The digitalization of processes towards full end-to-end (E2E) online handling creates additional efficiency gains. The use of artificial intelligence (AI) can further accelerate repetitive processes, safeguard decision-making, and implement early warning mechanisms. The path toward a digital ecosystem across public authorities is thereby paved.

Step 1: Select key processes

The starting point is identifying the right key processes. In addition to relevance for the Online Access Act (OZG), high coordination efforts or strategic importance may play a central role. Joint activities within inter-authority cooperation or inter-municipal collaboration must also be considered. Ultimately, however, each authority’s own evaluation is decisive in determining which processes should be optimized or digitalized.

Selected key processes usually serve as pilots within public administration. Since newly designed processes can often lead to noticeable and measurable improvements both internally and externally, they help drive the momentum of digitalization. Such key processes can span all administrative areas and affect both internal operations and external service delivery. Examples include the hiring of new staff, the implementation of construction projects, or the E2E digitalization of an OZG-related administrative service.

Step 2: Measurably improve processes with stakeholder involvement

Once the key processes are defined, the next step is to involve process stakeholders directly in reorganizing their own processes. This ensures result quality, acceptance, and learning effects, while accelerating the implementation of optimized processes. A systematic approach introduced by external experts helps secure quick wins. Training that runs alongside the project anchors professional methods.

Joint analysis and optimization often break down silo thinking in authorities and help reshape organizational culture. Clear optimization goals and design guidelines for solutions should be defined in advance to ensure the optimized process landscape remains as seamless as possible. Measurable results are essential to demonstrate the impact – such as reducing approval times to x days or cutting the number of process steps down to y. Qualitative improvements, such as providing a reliable “first figure” for investment projects, can also result.

Reorganization can shorten processing and waiting times, speeding up workflows. Standards can be introduced or adapted to ensure audit-proof processes – for example, through the four-eyes principle or defined accountability. Process optimization may also transform clerks into case managers, as hierarchy levels are reduced and responsibilities shift to agile teams. The depth of organizational change depends on each authority’s specific challenges and transformation needs.

Step 3: Process digitalization and automation

For serial processes with high case volumes and a strong degree of standardization, deeper digitalization is particularly relevant. Often, specialized IT systems are already in place but may not meet user needs or fail to provide sufficient cross-process orchestration. This is frequently the case in technical domains, for example when energy data is not linked to building data. Available data then goes unused, even though it could significantly improve economic decision-making if combined.

These weaknesses must be addressed through a holistic view of IT architecture, cost-effectiveness, and service orientation. For a fully digital E2E workflow, processes may need to be further automated.

Process automation means creating a digital bridge between all stakeholders, avoiding media disruptions: targeted task routing, digital feedback, remote accessibility, transparent processing status, and integrated document handling are just some of the benefits. Existing applications should be connected to the workflow engine, which also ensures process monitoring. The foundation for automation typically lies in process models that follow the BPMN (Business Process Model and Notation) standard.

AI as the next step

End-to-end digital administrative processes are built on optimized workflows that require a holistic organizational perspective due to their many interdependencies. At the same time, detailed analysis at the level of tasks, tools, and interfaces is essential. Broad vision and detailed insight must go hand in hand – and this is the key to successful digital transformation in German public administration.

Using artificial intelligence (AI) is then a comparatively small next step. The technology is already available; what matters is organizational readiness to ensure, for example, effective API integration. Standards developed during process optimization can form the basis for deploying RPA (Robotic Process Automation) or chatbots – tools that will significantly improve citizen services in the future.