The Automation Audit is designed for companies that are facing a stalled automation project or have identified a concrete automation initiative. It is suitable if you are actively looking for a service provider or want to gain clarity on solution logic, technical feasibility, and economic benefit before implementation. For a general search for possible use cases, it is not the right starting point.
Automation Audit for Businesses with a Defined Project
You already know what should be automated.
Now you need confidence that the implementation will actually work.
For Businesses with a Concrete Automation Project
This audit is designed for businesses that have already identified a clear automation opportunity. Either you want to plan a new project professionally from the beginning, or a previous implementation attempt failed to deliver the expected outcome.
If you're still exploring which processes could be automated, or whether AI automation consulting makes sense for your business, this audit is probably not the right starting point.
Explore Common Automation ProblemsOur Approach
Before we automate any process, we develop the complete workflow logic, validate technical feasibility, and define the implementation path.
Only when a solution is technically viable and commercially justified do we recommend moving forward.
If we conclude that no viable solution exists, you receive a full refund.
What You Receive
Complete workflow design (n8n workflow architecture)Technical implementation blueprintProcess documentationStep-by-step execution roadmap
The result is a reliable foundation for implementation — whether you decide to work with us, another process automation consultant, or an internal team.
Before You Book the Audit
In a 30-minute conversation, we assess together whether your project has the right foundation for an audit — and whether we are the right partner for it.
4 questions before our call
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FAQ
Frequently Asked Questions
An initial conversation serves as an introduction and is sufficient to discuss the project at a high level. That is why it takes place before every Automation Audit. If you are serious about your initiative, the project must be jointly defined. Process details, systems, data flows, edge cases, and success criteria are just examples of what must be clarified in advance. However, this work only makes sense once it has been decided in the initial conversation whether a collaboration will take place. Once the path is clear, we take the necessary time within the Automation Audit to address all critical details together and prepare a successful implementation as thoroughly as possible.
We analyze the existing process, define the desired target state, and develop the complete solution logic. We then assess the systems involved, interfaces, technical constraints, and economic viability. The result is a concrete solution with an implementation plan for later integration.
You receive a detailed workflow logic, a technical implementation plan, process documentation, and a structured implementation strategy. These results form the foundation for subsequent implementation. The exact scope depends on the use case examined.
An Automation Audit typically takes 10–15 business days. The exact duration depends on the complexity of the process, the number of systems involved, and the availability of the necessary information and stakeholders. At the start of the audit, we establish a concrete timeline so you know when to expect results.
No. The findings produced during the audit belong to your company. You can carry out the implementation with DACH AI Solutions, an internal team, or another provider.
If no technically sound and economically viable solution can be developed, we communicate this transparently and advise against implementation. In this case, you receive a refund accordingly. This ensures you do not continue investing in a project without realistic prospects of success.
To avoid investing time and budget into a solution that turns out to be ineffective only during implementation. A technically feasible automation is not automatically economically sensible or reliably usable in day-to-day operations. That is why we first clarify the complete process logic, relevant edge cases, the systems involved, and measurable success criteria before the technical work begins.