AI Agents for Businesses
AI agents with Copilot Studio, Agent 365 and Azure AI: automatically handle recurring tasks - securely set up, measurable, with clear governance.
ISO 27001 · Microsoft Solution Partner
Many teams lose hours every day on tasks that nobody would miss: sorting requests, transferring data from A to B, writing standard replies, compiling reports. AI agents take over precisely this work - even outside business hours, transparently and within clear rules defined by you.
What problem do AI agents solve?
The bottleneck in most businesses is not knowledge, but time. Specialists spend a significant part of their day on routine work that needs to be done, but requires no decision-making or creativity. An AI agent is a software component that executes such processes independently: it reads incoming messages, checks data against your systems, triggers the appropriate next steps, and only gets in touch when a human needs to make a decision.
The difference compared to traditional automation: agents understand language and context. They can categorise a vaguely worded customer enquiry, request missing information, and adapt their approach to the situation - instead of failing at the first deviation from the schema.
Typical use cases
Service and support: Categorise incoming enquiries, answer standard cases directly, hand over complex cases with all relevant information to the team.
Sales and back office: Compile quotation data, maintain CRM entries, coordinate appointments, prepare documents.
IT operations: Automatically process recurring tickets (password, access, standard software) - connected to your IT service management.
Knowledge work: Make internal guidelines, contracts or documentation searchable and answer employee questions directly.
Four areas where recurring processes occur in significant volumes.
How NMS proceeds
Potential analysis: Together, we identify the processes with the best balance of effort and impact - and quantify the expected benefit before any investment is made.
Pilot in weeks, not months: An initial agent goes into trial operation on a clearly defined process, with success criteria established in advance.
Secure operation: Permissions, data access and logging are set up cleanly - tailored to your AI governance and GDPR-compliant. NMS is ISO 27001 certified.
Scaling: What proves successful is transferred to further processes; your team learns how to maintain and further develop agents themselves.
Technologically, depending on requirements, we work with Microsoft Copilot Studio and Azure AI - or, if data sovereignty is a priority, with self-hosted AI solutions. Which models are suitable for your case is clarified by the LLM strategy.
Who is this suitable for?
AI agents pay off wherever recurring, rule-based processes occur in significant volumes - from mid-sized companies with overworked service teams to enterprises with processes subject to documentation requirements. The size of the company is not decisive, but rather a process that currently costs a noticeable amount of time.
What is the difference between an AI agent and a chatbot?
A chatbot answers questions. An AI agent carries out tasks: it accesses your systems in a controlled manner, makes decisions within defined rules, and triggers follow-up steps - for example, creating a ticket, updating data, or obtaining approval.
How long does it take to introduce an AI agent?
An initial pilot on a clearly defined process is typically live within a few weeks. The key factor is the groundwork: selecting the process, clarifying data access, and defining success criteria. After that, it is expanded step by step.
Can AI agents be deployed in a GDPR-compliant manner?
Yes - if data flows, permissions and logging are properly set up from the start. We design the architecture accordingly, on request fully within your own environment (self-hosted). NMS is ISO 27001 certified.
How much does an AI agent cost?
That depends on the process and the system landscape. Our potential analysis provides a reliable estimate of effort and benefits before starting - you decide on the basis of figures, not promises. An initial consultation is free of charge.
Solutions in a new dimension.
One conversation is enough to find out where IT, Microsoft Cloud and AI can take real weight off day-to-day business.
Your contact: Daniel Penninger, Managing Director