How businesses worldwide use DACH AI Solutions to eliminate repetitive processes, reduce costs and free their team from routine tasks — with concrete numbers and clean technical execution.
A driving school in Hamburg automated its initial phone contact across seven locations. Today, its AI voice agent handles around 50 calls per day, answers recurring questions, and books an average of five consultation appointments daily.
A manufacturer based in northern Germany made its product and company knowledge centrally accessible to Sales, Customer Service, Accounting, and Controlling. Today, employees can retrieve answers based on the company’s latest documents within seconds.
A manufacturer based in northern Germany automated the research, creation, and publication of its blog content. Within seven months, the system produced more than 50 industry articles at ongoing operating costs of approximately €20 per month.
Enerleads replaced subjective territory selection with data-driven sales planning. More than 308,000 buildings were analyzed to identify specific target areas and create operational routes for the field sales team.
AnKo Planen replaced subjective spot checks with an objective data foundation. Today, every customer call is analyzed automatically and turned into actionable insights for quality management and employee development.
An SEO agency fully automated its internal linking process and now saves up to 67 hours of manual SEO work per month—without compromising quality.
No two businesses have the same technology stack. The automation projects shown here are intended as examples to illustrate what is possible. Every workflow can be tailored to your specific business processes and requirements.
If you recognize a similar challenge in your business, the automation audit is the right next step.
What decision-makers want to know before the first conversation.
Yes. The published case studies are based on automation projects that were actually implemented. They describe the starting situation, the developed solution, and the results achieved through traceable workflows and available metrics.
The underlying process problems frequently occur across industries. A specific solution can therefore serve as a reference point, but must be adapted to the systems, data, and requirements of the individual business. What is typically transferable is the logic — not necessarily every technical step.
Past projects have led to, among other outcomes: significantly shortened processing times, reduced manual effort, improved data quality, and stronger sales results. The exact magnitude differs depending on the process and starting situation. Concrete before-and-after figures are detailed in the respective case studies.
Do not focus exclusively on the industry — focus on the underlying business process. A case study can be relevant if your business has similar challenges with data capture, system breaks, sales workflows, or recurring manual work. The structural similarity of the bottleneck is what matters.
A similar result is possible, but cannot be guaranteed upfront across the board. Processes, data quality, system landscape, and starting situation differ from business to business. The case studies therefore show realistic potential — they do not replace an individual analysis.