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The entire AI value chain from a single source.

We integrate AI firmly into your processes and teams. Holistic, secure and measurable for your company's success.

We enable your long-term success by covering the full depth of AI implementation - far beyond isolated solutions. Our approach seamlessly combines state-of-the-art technology with your processes, compliance requirements and the necessary cultural change. From the initial vision and development to ongoing operation and support, we provide you with everything from a single source. We close the gaps in the transformation process, empower your employees and thus ensure sustainable added value and real future viability.

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To the AI quick test

Our modular AI value chain.

Spotlight:

Your kickstart to productivity.

Copilot Explorer

Your structured introduction to AI productivity.

Take advantage of our compact overall package for the optimal start with Microsoft Copilot. We combine the technical setup and governance framework with practical key user training and the implementation of initial individual use cases. From piloting to „floorwalking“ support, we accompany you safely into the application.

Format:

Compact pilot package

Focus:

Empowerment, use cases & governance

Result:

Established community & productive use

Find out more about the Copilot Explorer

Everything from a single source. Modular and scalable.

Regardless of whether you are just starting out or need support in the middle of implementation: Our portfolio adapts to your situation. We are one of the few providers to have mastered the entire AI value chain. We accompany you as a strategic partner from start to finish - or act as a specialised problem solver for individual challenges. Use our expertise on a modular basis to close gaps, or holistically to put your AI transformation on a secure footing.

Vision

Explore

Develop

Expand

AI maturity assessment, strategy and roadmap

Before we implement technology, we create clarity. With our AI maturity assessment, we analyse your status quo through interviews and document reviews to gain transparency about data, processes and skills. Together in workshops, we define a strategic target picture that supports your business goals. The result is a prioritised roadmap that not only shows long-term investment paths, but also identifies „quick wins“ that deliver immediate added value. This is how we turn vague ideas into an actionable plan for your transformation.

Principles and frameworks for responsible AI

AI offers opportunities, but also harbours ethical risks. We develop an AI governance guideline for you that anchors clear standards such as „Do No Harm“, fairness and transparency in your company. Together with the management, we define responsibilities and draw up instructions with specific dos and don'ts. We always check the relationship to existing compliance guidelines such as your data protection or ISMS. The goal is a framework that enables innovation but ensures legal and ethical guidelines (EU AI Act).

Risk and compliance management

Safety is non-negotiable. We support you with risk management in accordance with the current AI regulation by categorising your planned AI systems into risk categories (minimal to unacceptable). We draw up specific action plans for systemic risks and assign clear responsibilities. We also review security measures such as access concepts and protection against data manipulation. In this way, we ensure that your AI initiatives are properly set up from a regulatory perspective and that liability risks are minimised.

Brainstorming and evaluation of use cases

The best AI solutions solve real problems. In our ideation workshops, we work with your stakeholders to develop a wide range of ideas. We use AI Discovery Cards and the Use Case Canvas to structure and cluster these approaches. We then use a multidimensional evaluation catalogue to separate the wheat from the chaff. We identify prioritised use cases and quick wins that are technically feasible and promise a high ROI before the first euro is spent on development.

Evaluation, innovation and design sprint

Speed is crucial. Our sprints serve to quickly validate innovative approaches for specific use cases. We clarify questions such as: „How do users interact optimally with the AI?“ or „What pain points does the product solve?“. In design sprints, we outline ideal workflows and check the user experience. Evaluation sprints clarify technical hurdles, such as whether your data formats are suitable as a knowledgebase or how efficiently a model consumes resources. In this way, we avoid bad investments through early testing.

AI proof of concept

Theory is good, practice is better. With a proof of concept (PoC), we check the technical feasibility of your prioritised idea under real conditions. We develop a functional prototype to see whether the selected technology delivers the promised result and how well the model performs. The PoC serves as a basis for decision-making: it provides valid data on costs, benefits and scalability. This minimises the risk before you roll out a solution on a large scale.

Make-or-buy strategy

Not every wheel needs to be reinvented. We provide you with neutral advice when deciding whether a standard solution (e.g. Microsoft Copilot) is sufficient or whether customised development (e.g. via Microsoft Foundry) is necessary. We analyse costs, time-to-market and strategic dependencies. A hybrid strategy is often the key: utilising standard tools for a wide range of applications and saving resources for differentiating in-house developments. We help you to utilise the budget where it creates the greatest competitive advantage.

Process automation

Efficiency through intelligent automation. We identify repetitive tasks that are suitable for automation - from processing handwritten documents to categorising email enquiries. We use technologies such as Power Automate Desktop to control older on-premise applications without interfaces using „click agents“. Whether support chatbots or expense workflows: We integrate copilot actions directly into your processes to reduce throughput times and minimise error rates.

AI Operating Model

How does AI move from the project to the line? We define a clear operating model with roles such as the „AI Product Owner“, „Model Owner“ or „Data Owner“. We create a process map that standardises the path from ideation to PoC to operation. We also define architecture specifications for RAG, interfaces and security in order to avoid uncontrolled growth. In this way, we create standardisation and reusability for all your future AI initiatives.

AI in organisational structure

AI must not remain a silo topic. We help you to firmly anchor artificial intelligence in your organisational structure, ideally by setting up a „Centre of Excellence“ (CoE). This central unit pools expertise, drives forward standards and serves as a point of contact for specialist departments. We define interfaces between IT, specialist departments and legal in order to minimise frictional losses. In this way, your company is structurally enabled to establish AI not just as a project, but as a permanent capability.

Implementation & ModelOps

Professional software development for AI. We take care of the development and roll-out of solution components, models and user interfaces. We consistently rely on ModelOps and DevOps practices to ensure automation, reproducibility and reliability. We build pipelines for data engineering and machine learning that are scalable (CloudOps). The goal: robust applications that not only run stably in the lab, but also under load in day-to-day business.

AI ecosystem

Nobody can do everything alone. We manage your AI ecosystem and relationships with technology partners. As part of the Axaitra Group, we orchestrate access to state-of-the-art solutions and specialised expertise for you. We integrate platforms (such as Microsoft Azure, OpenAI) and external services seamlessly into your architecture. Through active partner management, we ensure that you benefit from innovations and exploit synergies without losing yourself in dependencies.

Governance Model

Rules for the lifecycle. We establish a governance model at use case level that governs the entire lifecycle from target setting to shutdown. We define processes for risk management and human oversight to prevent the AI from making the wrong decisions. We also implement security requirements such as logging, threat detection and secure modelling as early as the development phase. This ensures that your AI remains transparent, traceable and secure.

Data strategy, data management

Data is the fuel for AI. Our strategy is aimed at business alignment and supports your specific business goals. We carry out data readiness checks and quality audits to identify gaps in consistency and timeliness. We implement a centralised data platform with a clear layer architecture: from the „ingestion layer“ for automated pipelines to the „semantic layer“, which provides data for AI and BI in an understandable way.

Infrastructure & Platforms

The foundation must be right. We design and implement the necessary infrastructure and platforms for your AI applications. We rely on scalable cloud architectures (e.g. Azure) that provide flexible computing power as required. We take care of the provision of vector databases, API management and secure environments for the training and inference of models. A solid infrastructure guarantees performance and prevents bottlenecks as your AI solutions grow.

Adoption & Change Management

Technology is only as good as its users. We actively support the cultural change by setting up a „Centre of Enablement“, training courses and consultation hours. We identify „champions“ and incentivise their use. We use tools such as change management bots or dashboards (ADKAR method) to make progress measurable. Our approach ensures that fears are dispelled and your employees see AI as a tool for self-realisation.

ROI consideration

Investments must be worthwhile. We establish continuous monitoring of the business value of your AI solutions. As early as the prioritisation phase, we evaluate use cases according to their expected return on investment (ROI). During ongoing operations, we measure the actual impact on efficiency and costs. This data-based analysis helps you to target budgets where they will have the greatest impact and to demonstrate the success of the transformation to stakeholders.

AI Managed Services & Operation

After the go-live, the work begins. We take over the operation and monitoring of your AI solutions to ensure quality and availability. We take care of monitoring key performance indicators and intervene proactively in the event of deviations. Our service includes support, incident management and the maintenance of model versions. In this way, we guarantee that your AI systems remain stable in the long term and that you can concentrate on your core business.

Optimisation & automation

Standing still is a step backwards. We continuously analyse the performance of your models and processes in order to leverage optimisation potential. We expand existing solutions, retrain models with new data („prompt tuning“) and increase the level of automation. Whether by adding new skills for your chatbot or refining workflows: We ensure that your AI grows with your requirements and that value creation is continuously increased.

Security & Compliance Governance

Governance Security is a process, not a state. We continuously monitor your AI systems for new threats and ensure compliance with regulatory updates. We regularly review deletion concepts, feedback loops and carry out new data protection impact assessments as required. We also dynamically adapt security measures such as logging and access controls to new attack vectors so that your AI landscape is still compliant and secure tomorrow.

Cost management

Transparency instead of a cost trap. Cloud resources and token consumption can quickly become expensive. We implement clear cost management guidelines and rules for budgets. We monitor resource consumption and ensure cost transparency at use case level. By optimising models and infrastructure, we help you to control operating costs without throttling performance. This ensures that your AI strategy remains economically sustainable.

Locally anchored in Osnabrück. Strong in the Axaitra Group.

LM IT Services AG combines the best of two worlds: The personal, agile support of a local service provider and the clout of a leading technology network. As part of the Axaitra Group, we offer you access to a broad ecosystem of AI expertise and specialised fields.

Specialisation on demand

No matter how niche your requirements are - we use our network to bring in exactly the experts you need for your success.

Full scalability

Start small and grow fast. We ensure that resources scale flexibly with your needs.

Innovative edge

Through constant dialogue with our partners, we bring the latest trends and best practices directly into your project.

Seamless integration instead of isolated solutions: Your future-proof ecosystem for AI.

Success lies in intelligent networking. We build the bridge between your existing infrastructure and new AI possibilities. Our portfolio ranges from Microsoft 365 Copilot for daily productivity to complex workflows via N8N and the Power Platform. Whether standard software or customised development via Microsoft Foundry: we integrate every component harmoniously into your system landscape. In this way, we create a robust and maintainable basis for your sustainable AI transformation.

Do you have any questions?

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We can clarify any questions you may have about the introduction of a customised artificial intelligence (AI) solution for your company in a personal and free consultation.

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The most important answers to your questions about our AI solutions:

Why is LM IT Services AG the right partner for AI in SMEs?

In contrast to pure software providers, LM IT pursues a holistic approach. We not only look at the technology, but also integrate processes (automation & compliance) and people (change management & empowerment) into every project. As an established IT service provider in Osnabrück, we know the requirements of SMEs inside out and, as part of the Axaitra Group, we offer access to a network of experts for every phase of the value chain.

How quickly can we use Microsoft 365 Copilot productively?

With our specialised services, we enable a productive start within one month. This structured sprint includes the technical setup, data protection checks, targeted employee training and the implementation of the first concrete use cases. This allows you to achieve measurable results (ROI) quickly, without months of lead time.

Is the use of AI and Copilot compliant with data protection (GDPR)?

Yes, security and compliance are our top priorities. We support you in setting up AI governance and take regulatory requirements such as the EU AI Act into account. Our experts review your authorisation management and define clear guidelines for handling data to prevent „shadow AI“ and ensure data security in the Microsoft ecosystem.

What AI solutions does LM IT offer in addition to Microsoft Copilot?

We work open to all technologies. In addition to the Microsoft ecosystem (Copilot, Copilot Studio, Azure OpenAI, Power Platform), we rely on powerful tools such as N8N for workflow automation or customised developments via Microsoft Foundry. Our goal is always to find the best and most efficient solution for your use case - whether standard software or customised development.

Does LM IT also offer AI training courses and workshops for employees?

Absolutely. The success of AI depends largely on employee acceptance. Our Adoption & Change Management department offers formats ranging from „Start Workshop“ and targeted training (e.g. prompt engineering) to the establishment of an internal „Centre of Excellence“. We do not leave your teams alone with the new technology, but empower them to use it effectively.

What does it cost to introduce AI in a company?

The costs vary depending on the level of maturity and objectives. We often start with an ROI analysis and prioritise use cases according to their economic benefit in order to justify investments. Thanks to our modular offering - from „quick wins“ to complex platform integration - we offer scalable solutions that are also affordable and transparent for medium-sized budgets.

Can we safely integrate our own company data into AI models?

This is one of our core competences. We develop strategies to make your data (e.g. from SharePoint, databases) securely and functionally usable as a knowledge base - for example through RAG architectures (Retrieval Augmented Generation). Our data strategy ensures that the quality, access rights and up-to-dateness of your data are guaranteed at all times.

How does an AI project with LM IT Services AG work?

We support you along the entire value chain: we start with the vision and strategy (maturity check), move on to exploration (use case discovery & PoC), develop the technical solution and finish with expansion (operation & optimisation). You can join in at any stage, depending on where you currently stand.