Costs & Pricing
Many companies know that process automation can transform their operations — but hesitate because the costs are unclear. Understandably so. Opaque pricing, hidden fees, and vague promises make the decision difficult. That is why we provide an honest overview and lay all cards on the table: What does process automation really cost, which factors determine the price — and when does the investment pay off?
What Determines the Price
No two automation projects are alike. Four factors largely determine how much your individual solution will cost — and where savings opportunities exist.
A simple process like automatic invoice generation has few steps and clear rules — that can be implemented in a few days. Complex workflows with branching logic, approval loops, and exception handling require more design and development. The more if-then logic, the higher the effort. The good news: complex processes typically pay for themselves faster because they replace more manual work.
Each system integration — whether CRM, ERP, accounting, or HR — requires connection via APIs, webhooks, or middleware. Connecting two systems is significantly less expensive than five. What also matters is whether your systems offer modern interfaces or whether we need to develop custom connectors. Our recommendation: start with one integration and expand incrementally.
Standard solutions based on proven templates are quickly deployable and cost-effective. However, if you need custom logic, tailored dashboards, or industry-specific adaptations, the development effort increases. Our approach: we use proven building blocks wherever possible — and only develop custom solutions where they deliver genuine added value.
An automation is not a set-and-forget project. APIs change, business processes evolve, and new requirements emerge. Ongoing maintenance, monitoring, and optimization ensure long-term functionality. You decide whether to handle support internally or invest in a managed service — both are possible and predictable in terms of cost.
Market Prices 2026
What process automation costs on the market depends on the approach: an off-the-shelf workflow tool, an RPA licence or custom-built AI automation. The ranges below are net guideline values for the DACH mid-market, source: market observation 2026 (public vendor price lists and project budgets from tenders), not offers.
Make, Zapier, n8n Cloud and similar tools charge per user, workflow or execution quota. Entry plans typically cost a two-digit euro amount per month; with high execution volumes and premium connectors the bill grows into the three-digit range. Add internal time for setup and maintenance.
Classic RPA platforms license per bot (attended or unattended). A bot typically costs a four-digit euro amount per year; orchestration, development environment and bot maintenance come on top. Whenever a user interface changes, maintenance effort follows.
Having a process built individually with AI steps (reading documents, classifying, writing into ERP or CRM) typically costs a four- to five-digit euro amount for the first project, followed by a monthly fee for hosting, model usage, monitoring and further development.
A concrete quote for custom automation follows the free ProzessCheck at prozessautomatisierung.ai; tools and ready-made building blocks are available at workflow-agentur.com.
Return on Investment
Theory is good, numbers are better. Here is a concrete example from a mid-sized company with 50 employees that automated its order processing.
Calculation based on an hourly rate of €42 incl. employer costs (DACH mid-market average). Insert your own hourly rate and hours to transfer the calculation to your company.
These figures are conservatively calculated. In practice, indirect savings add up: fewer complaints, faster turnaround times, higher employee satisfaction, and more capacity for value-creating work.
Compliance as a Cost Factor
Yes, GDPR-compliant AI automation does incur additional costs. Data protection impact assessments, encrypted data flows, deletion concepts, and audit trails typically increase implementation effort by 10–20%. That sounds like a lot — but it is a fraction of what a GDPR violation costs.
Fines for GDPR violations can reach up to EUR 20 million or 4% of global annual revenue. Add to that reputational damage that is virtually impossible to quantify. We integrate data protection into every project from the start — not as an expensive add-on, but as a core part of our architecture.
On request, we operate your entire automation infrastructure on AI servers in Germany — for maximum data sovereignty without compromising performance. The additional costs compared to US cloud providers are marginal; the gain in legal certainty is enormous.
The Smart Entry Point
The most successful automation projects start small and scale based on results. It is not the grand master plan that delivers ROI — but the first automated process that saves time and money from day one.
The proven approach: first identify the process with the best ratio of effort to savings potential. This is often not the most complex process, but the one with the highest volume — invoice processing, customer communication, or order confirmation. This initial success funds the next steps.
Want this built for you? Our team builds custom automation at prozessautomatisierung.ai — with a free ProzessCheck to get started that analyses your processes and quantifies the concrete savings potential.
Frequently Asked Questions