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Architecture clarity in 45 minutes.
No polished agency talk and no aggressive sales pitch. We take a sober technical look at your current system bottlenecks.
Current-state review
You briefly explain where data is blocked today, for example inside a vendor API, or which routine processes cost your team the most time.
Feasibility check
I will tell you directly whether modern AI structures or browser agents can solve the specific problem, or whether the effort is unlikely to pay off.
Roadmap
If a solution makes sense, I outline the logical foundation for a focused, low-risk pilot project.
Confidentiality guarantee: I have built complex e-commerce infrastructure for years, so I know how sensitive company data is. Our conversation is fully confidential. If useful, we can sign a standard NDA before the call.
Choose a time
45 minutes, clear scope, technical assessment.
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We look at processes, data, integrations, and risks: where manual loops occur today, which information is missing, which systems must work together, and what needs to be resolved for safe operation.
You receive a prioritised assessment of the most useful opportunities, concrete next steps, and, where useful, an outline for a prototype, data foundation, or integration plan.
The AI potential analysis is designed for teams that want to identify practical automation opportunities without starting a large transformation programme immediately. We look at processes, data, integrations, roles, and risks together, then separate quick wins from ideas that need technical or organisational preparation first.
Typical topics include manual research, offer and product data workflows, support processes, internal knowledge search, browser agents, quality checks, and integrations between existing systems. The question is not whether AI can be used somewhere, but whether a use case can measurably save time, reduce errors, or improve decisions.
The outcome is a prioritised assessment with concrete next steps: which hypothesis should be prototyped, which data foundation is missing, which stakeholders need to be involved, and which risks should be resolved before production use.
These additional notes are meant to orient visitors quickly: what the page is for, when the next click is useful, and which information should be prepared for an enquiry or decision. That keeps the page useful instead of merely existing as a thin utility page.
Einfach AI combines technical implementation with clear operational judgement. Processes, data sources, interfaces, responsibilities, and risks are considered together so that AI use cases, automation ideas, and compliance requirements can be planned realistically.
If you are not sure where to start, send a short message or begin with a potential analysis. We help turn the rough idea into a concrete working hypothesis and identify the smallest useful next step.