Process automation: your path to successful digital transformation
In the digital transformation, process automation is no longer just a technical nice-to-have, but a strategic necessity for companies that want to remain competitive in...

Process automation - the heart of the digital transformation 2026
In the digital transformation, process automation is no longer just a technical nice-to-have, but a strategic necessity for companies that want to remain competitive in Europe. In 2026, this trend has further intensified: state-of-the-art automation solutions, often supported by artificial intelligence (AI), are the key to sustainably increasing efficiency, data integration and agile transformation.
AI-driven automation as a game changer
As current industry reports show, the focus in 2026 will shift from pure technology to measurable customer benefits and operational efficiency through AI-supported process automation. Companies are increasingly implementing so-called agentic AI solutions that handle complex tasks largely autonomously and in real time. An example from the financial sector: ING Germany is already relying on AI in its card service in 2026, which takes on defined tasks independently and thus significantly improves customer service (source: it-finanzmagazin.de).
These AI agents not only optimize individual processes, but also create a holistic orchestration between different business units and systems. This enables companies to speed up their processes while minimizing errors - an invaluable advantage at a time when speed and quality are crucial.
Integration and compliance - overcoming challenges
Data protection and compliance requirements are increasing across Europe. Today, automation solutions must not only perform, but also be legally compliant. Integrating the latest compliance standards into automated processes is essential in order to minimize risks and at the same time shape the digital workplace of the future. Innovative tools help companies, for example in document management, to carry out automatic checks and validations and thus ensure seamless traceability (source: itwelt.at).
It is also becoming apparent that the integration of automation platforms into existing IT landscapes is becoming increasingly seamless. This lowers the barriers to entry and makes it easier for medium-sized companies in particular to take the step towards end-to-end process automation.
Practical example: automation combines efficiency and customer focus
By introducing AI-supported workflows, a medium-sized insurance company from Germany not only accelerated the processing of claims by 40 percent, but also significantly increased customer satisfaction. The automated processes provide real-time status updates and relieve employees of routine tasks, allowing them to focus on complex customer issues.
Outlook and recommendations
For decision-makers in Germany, Austria and Switzerland (DACH region), the following applies in 2026 The automation of business processes is the lever for digital sovereignty and innovative strength. To fully exploit the potential, companies should focus on the following areas:
- Develop a long-term automation strategy with AI integration
- Establish compliance and data protection as core aspects from the outset
- Involve employees at an early stage and train them for the new way of working
- Use flexible IT architecture to integrate automation solutions in an agile manner
The market study "Digital Transformation Services Market" projects that the global market for process automation will grow to around 16.4 billion US dollars by 2026. In Europe in particular, with its complex regulatory environment and strong SME structure, process automation opens up completely new opportunities for companies to position themselves in a future-proof and customer-centric way (source: verifiedmarketreports.com).
Process automation is therefore not just technical progress, but a strategic success factor in the digital transformation of 2026. Those who consistently follow this path will secure decisive competitive advantages.
