AiNemix connects workflows, tools, and data into solutions that actually work in day-to-day operations β automated, traceable, and cleanly integrated.
No off-the-shelf templates, but solutions designed around the clientβs processes, roles, data structures, and operational requirements.
ERP, CRM, webhooks, databases, telephony, and API interfaces are integrated reliably into existing system landscapes.
One-day workshops, consulting, architecture, implementation, and continuous improvement from a single source.
For large industrial companies and mid-sized businesses, testing βsomething with AIβ is not enough. What matters is clear prioritization, robust architecture, and clean implementation in real operational processes.
We identify bottlenecks, media breaks, manual loops, and relevant use cases β prioritized by business value, feasibility, and impact.
We define the right target architecture β including AI applications, data flows, roles, approvals, and integrations.
We build, integrate, and operate solutions so they continue to work reliably within the company β with monitoring, KPIs, logs, and clean documentation.
We support companies not only in technical execution, but already at the stage of strategic evaluation. This results in tailored AI systems and AI applications with real operational value.
A compact, hands-on entry point for teams and decision-makers: identify opportunities, prioritize relevant use cases, and define the next steps clearly.
Strategic and technical consulting on AI roadmaps, system architecture, data flows, governance, implementation, and scaling in enterprise environments.
We develop tailored solutions for concrete processes β not generic systems, but ones built precisely around your roles, interfaces, data, and operational goals.
The problem is rarely the idea itself. In most cases, projects fail because of missing integration, unclear handoffs, generic solutions without process alignment, and a lack of attention to operations, responsibilities, and scalability.
From one-day workshops and consulting to architecture and technical delivery, we build solutions that are not only strategically sound, but also remain durable in real operations.
The following examples show how we turn concrete requirements into resilient applications. They represent implemented projects and meaningful AI architectures. The most directly usable solutions today are the Website Generator and the Media Publisher.
Automatically rebuild websites, modernize existing online presences, and use old sites as the foundation for a much stronger new web presence β fast, structured, and tailored to the client.
An example of how specifications can be evaluated automatically, relevant positions highlighted, standards checked, and content assessed professionally.
A project example for regional search logic: construction projects are identified, geographically classified, and pre-ranked by relevance and sales potential.
An implementation example for intelligent phone communication β for example for follow-up questions, scheduling, or standardized service processes with clear process integration.
Automatically create posts, structure them editorially, and publish them across platforms so communication stays consistent and marketing is no longer limited by internal capacity.
The real impact does not come from individual screens or demos, but from the interaction of data sources, roles, approvals, API interfaces, automation logic, and clean technical integration. That is why these examples are not isolated products, but real project principles that can be developed further for different business contexts. Where it makes sense, we turn them into concrete, directly usable solutions β such as the Website Generator or the Media Publisher.
Many talk about AI. What actually matters is whether systems are integrated properly, applications are designed meaningfully, and solutions become sustainable in the operational reality of larger companies.
We build solutions around concrete processes, data situations, and responsibilities β not around interchangeable standard phrases.
Automation only creates impact when data, roles, interfaces, and responsibilities work together meaningfully.
The goal is not the prettiest demo, but a solution that keeps working reliably under real operational conditions.
Good tools are not enough if they work next to each other instead of together. We create the structure in which data, decisions, API interfaces, and approvals work together cleanly.
Impact does not come from single prompts, but from clean process architecture, defined responsibilities, stable integration, and reliable technical handoffs.
Conservatively calculated with a 60% automation share. This calculator only shows time potential β error costs, response time, and quality gains are not yet included.
Time only β not including quality, follow-up, or error costs.
Request analysisClarity before the first conversation β so it becomes visible right away where AI systems, applications, and integration make sense.
That depends on the maturity level. In many cases, a one-day workshop is the most effective starting point to sharpen priorities, process understanding, and relevant use cases.
The examples shown are only a small excerpt. Our main focus is on tailored AI systems and AI applications for real business processes.
APIs, webhooks, CRM, ERP, DMS, Microsoft 365, Google, telephony systems, databases, and internal tools β stability and maintainability are always the deciding factors.
Depending on the project: prioritized roadmaps, architecture concepts, implemented AI applications, integrated workflows, monitoring, documentation, and ongoing improvement.