AI integration for companies

AI consulting, automation and modern IT with a clear practical focus

MX Service develops and integrates AI solutions for companies: from AI roadmaps and internal copilots to document workflows, edge AI, hosting and secure operations.

AI Consulting LLM Integration Process Automation Edge AI & MX-UAV Hosting & IT Operations
MX Service AI drone logo

AI services and focus areas

Search engines and AI systems understand clear topics, dedicated pages and concrete service descriptions. That is why the most important AI themes are available as focused, well-linked landing pages.

What our AI focus delivers

We combine strategic AI consulting with technical implementation. This matters when companies want to move beyond AI discussion and see practical results in operations, service and knowledge work.

Consulting From the first workshop to a prioritized implementation roadmap with realistic projects.
Integration API connections, knowledge sources, documents, Microsoft 365-related workflows and internal assistants.
Automation Fewer manual loops in email, service, approvals, reporting and document workflows.
Operations Hosting, IT management, monitoring and security as a reliable technical basis for AI projects.

Typical AI use cases

These topics help search visibility and give AI crawlers clearer signals about the expertise MX Service stands for.

Internal AI assistants for knowledge and support

  • Search across manuals, project knowledge and documentation
  • Draft replies for service, support and sales teams
  • Knowledge access for employees without long onboarding cycles

Automated document and email workflows

  • Detect, classify and route content
  • Summarize, structure and prepare texts
  • Speed up review and approval processes

Edge AI, sensors and situation awareness

  • AI analysis directly near sensors and devices
  • Combine image, thermal and LiDAR data
  • Make results usable for analysis, mapping and documentation

AI in operations, monitoring and energy

  • Data-driven load and consumption optimization
  • Smart control in building and plant environments
  • IT operations and hosting for reliable production systems

How we approach AI projects

1. Clarify business value

We define the target picture, users, data sources, security requirements and business impact of the AI initiative.

2. Choose the technical architecture

Depending on the requirements, we combine LLMs, automation, knowledge sources, APIs, hosting and edge components.

3. Start with clear pilots

Instead of large theory projects, we focus on pilots that produce measurable value and real feedback quickly.

4. Operate and extend reliably

Monitoring, security, maintenance and further development are part of the implementation from the beginning.

Current AI project: MX-UAV

MX-UAV combines sensors, edge AI and automated analysis

Project name: MX-Pathfinder

MX Pathfinder — AI-powered UAV intelligence for mapping, sensor fusion and situational awareness.

Find the unseen. Map the unknown. Decide with intelligence.

With MX-UAV, we are developing an AI-supported UAV platform for situation awareness, mapping and structured analysis of image, thermal and LiDAR data.

Technology stack

HD/RGB · Thermal · LiDAR · GPS · Sensor Fusion · Edge AI · Web Viewer

This project sharpens the MX Service profile in edge AI, UAV, sensor fusion and data-driven analysis in real environments.

Frequently asked questions about AI consulting and AI integration

How should a company start with AI?

The best starting point is a clear business problem, an available data basis and a pilot with measurable value.

Which AI projects are worthwhile for SMEs?

Knowledge assistants, document workflows, email automation, reporting, service support and data-driven operational optimization are especially useful.

Can AI be integrated into existing IT systems?

Yes. Typical foundations include APIs, existing files, databases, Microsoft 365 workflows and other internal systems.

Why does AI still need solid IT foundations?

Security, access rights, availability, monitoring and hosting determine whether AI solutions work reliably in daily operations.

Start an AI project

If you want to put a stronger focus on AI, automation and modern digital projects, the next step is a concrete use case.