Outcome-aligned
The commercial model keeps the conversation close to measurable savings rather than a growing stack of billable technology.
About AutoMates
AutoMates is led by Sebastian Pforr and brings together the process, commercial, and technical perspectives needed for an automation engagement. The work is international in outlook, while the delivery remains grounded in the actual people, systems, and risks of one business process.
What this means in practice
The commercial model keeps the conversation close to measurable savings rather than a growing stack of billable technology.
English is the canonical working language for the public site and international engagements; German remains an available localized entry point.
AutoMates prefers a clear scope, documented evidence, named responsibility, and honest limitation over vague transformation claims.
How we work
A workable automation begins with the business reason for changing a process: where time is lost, where quality drops, what the risk is, who owns the result, and how the improvement will be measured.
Architecture, orchestration, models, integrations, data handling, control logic, testing, and operations are selected to fit the real environment instead of forcing a client into a predefined platform.
The output must be understandable after go-live. That means documentation, ownership, access responsibilities, support boundaries, and a clear definition of what has been validated.
The human side of automation
Most businesses are not short of valuable work. They are short of the time and attention needed to do it well. The people closest to a process usually understand its exceptions, risks, and frustrations better than anyone else. Treating their knowledge as part of the solution leads to better automation—and to change that teams can support rather than fear.
The AutoMates principle
Our automation projects are not designed around eliminating roles. They are designed to return capacity to the people the business already depends on.
We listen to people handling the process and involve them early. They know where time is lost, where judgment matters, and where an apparently simple workflow becomes complicated in practice.
When people understand how the change gives them more time for meaningful work, resistance usually becomes participation.
AI can organise information, identify patterns, and help people evaluate their options. But important decisions and their consequences should remain visible, explainable, and ultimately owned by a person.
The commercial position
The paid discovery phase turns assumptions into a documented current-state baseline and recommendation. It is deliberately useful even where a build does not follow.
The 25% Year 1 gain-share is based on an agreed calculation before implementation. The model distinguishes forecasted savings from what is later observed.
The project defines what is handed over, who operates the workflow, and what optional ongoing support covers. Long-term help should be a choice, not a technical trap.
Common questions
Clear answers to the practical questions that usually come up before a first conversation.
AutoMates is legally based in Augsburg, Germany. The company is built to work internationally, with English as the canonical website language and German as a secondary localized entry point.
AutoMates is led by Sebastian Pforr. The legal company details and direct contact route are available on the Contact and Imprint pages.
No. The approach is tool-agnostic: architecture follows the process, client environment, controls, and operating requirements.
AutoMates
If there is a workflow your team is carrying manually, bring it to a fit call. We will be direct about whether it deserves the next step.