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AI solutions for companies

Individualized, economically viable solutions

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HomeServicesData & AIAI solutions for companies

AI solutions for companies from MaibornWolff

Would you like to use artificial intelligence profitably in your company - but don't know where to start? We support you on your journey from strategic embedding to a scalable system.

We help you to structure initial ideas, identify use cases with real business value and integrate AI productively. Instead of quick fixes and standard tools, we develop customized applications that fit your data, processes and goals - in line with our narrative: "Less Technology. Better Business."

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Your advantages with MaibornWolff

Our AI solutions are always geared towards the question: Where can AI generate concrete added value? On this basis, we have established the following principles and approaches:

Individual strategy

We develop AI solutions that fit seamlessly into your existing systems and goals - instead of generic standard tools, you get tailor-made applications with real impact.

Holistic approach

From data strategy and machine learning to generative AI: we combine technology, organization and governance to create a sustainable overall concept - interdisciplinary, without silos, with a clear vision.

Practical implementation

MaibornWolff's central narrative is not technology-driven, but benefit-driven. We don't think in PowerPoints, but in prototypes, MVPs and productive systems.

Sustainable skills development

Shadowing, enablement & co-creation: your teams work together, learn and are empowered to further develop AI themselves. This keeps the knowledge within the company - and the impact scalable.

Team meeting with three people at the laptop.

Would you like to use AI in your company?

Let our AI experts advise you!

Contact us now

Where do we provide support? And who?

Many companies want to use artificial intelligence - but the path from idea to productive solution is more complex than expected. They often lack an overview:

  • Which technologies really suit your own organization?
  • Which AI use cases are realistic - and which are just a gimmick?

  • How do you reconcile teams, data, processes and governance?

Overcoming hurdles with MaibornWolff

In practice, there are also several challenges that organizations have to contend with:

  • Uncertainty about legal requirements, data protection and AI governance
  • Lack of clarity about effort, scalability and actual benefits
  • Overwhelmed by the multitude of AI tools and frameworks
  • Silo thinking between specialist departments, IT and management level
  • Skepticism in the team regarding benefits and pressure to change

Together, we overcome these hurdles with a clear framework: We create orientation, build knowledge, involve users at an early stage and deliver solutions that work not only technically but also organizationally. This is how AI becomes a real force for change - with a scalable impact on the core business.

Heavily regulated sectors & companies under pressure

Our AI solutions are primarily - but not exclusively - aimed at sectors with high social relevance and particular pressure to transform. Our approach is suitable for both SMEs and large corporations.

Our services are particularly in demand in data-intensive and regulated industries such as

  • Healthcare & Medical Technology,

  • Energy industry,

  • Insurances,

  • regulated industries and

  • Administrations and

  • public sector.

"AI Assistant Blueprint" against data protection violations

For us, data protection and AI governance are not an afterthought, but an integral part of every AI project - from the initial idea to go-live. This is exactly what "AI Assistant Blueprint" stands for:

If your organization processes sensitive data, you can request a fully self-hosted environment with dedicated access controls, logging and data minimization - with no risk of data breaches.

Arrange your consultation appointment today!

Book an appointment now

A small selection of our customers

AI solutions for companies: Structure & contents

A typical AI project at MaibornWolff consists of a four-stage model that takes into account both technical and organizational requirements and is designed for maximum practicability.

The four phases build on each other systematically, but can be adapted individually depending on the customer's level of maturity. The aim is to deliver exactly the building blocks that your company really needs, from the initial idea to the production-ready solution - strategically sound, technologically scalable and professionally compatible.

As a rule, the phases are structured as follows:

abstract-linines 2

1. Information & orientation

AI thinking workshop & analyses for a common level of knowledge among all stakeholders, understanding of AI, machine learning & fields of application.

Goal: Uniform presentation of generative AI, machine learning & concrete potentials.

2. Learning & experimenting

3. Implement

4. Scaling

After the go-live is before the effect

That is why an AI project at MaibornWolff does not end with the rollout. We attach great importance to ensuring that solutions not only work, but are also accepted, maintained and further developed. To this end, we have several graduated models of cooperation:

  • Enablement & Handover,
  • operation & maintenance,
  • further development & scaling,
  • acceptance & community.
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Would you like to identify and leverage your organization's AI potential?

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Our references & projects in the field of data & AI

Success is measurable - for example in realized projects. Discover how we put data & AI into practice for our customers: with solutions that work, inspire and create real added value.

To all references
  • A robotic arm places precise digital data in a futuristic, dark room.
    Research: AI-supported robotics for employees with physical limitations

    With demographic change, employees with physical limitations need better support to remain productive. Assistance robots can help, but are not flexible enough. The KiRo4LeMi research project aims to use AI to dynamically adapt robots to individual changes in performance. Using digital models and "living personas", the AI optimizes robot operation in real time.

    See robotics reference
    Research: AI-supported robotics for employees with physical limitations
    3 years

    research project, funded by the Bavarian Ministry of Economic Affairs

    Design of the robot

    more individuality thanks to AI

    Digital twin

    helps to be able to react quickly during operation

    See robotics reference
  • A technician in a green Siemens jacket sits in front of a computer on a factory floor with industrial equipment in the background.
    Siemens: AI demand prediction platform for industrial production planning

    Siemens is looking to the future with the AI Demand Prediction Platform. Thanks to machine learning and AutoML, precise demand forecasts can be created for over 100 products and production can be better planned. Launched as a proof of concept, the platform quickly developed into a system that can be used productively. The self-service web application will soon be used in other plants.

    See Siemens reference
    Siemens: AI demand prediction platform for industrial production planning
    Project duration

    Since February 2022

    Proof of concept

    in a few weeks

    Time series prediction

    for 100 different products

    See Siemens reference
  • Two women are standing in a workshop. One woman is holding a tablet in her hands.
    TÜV NORD GPT: Development of AI assistance

    Find relevant information faster by chatting with documents? It's possible! The TÜV NORD GROUP uses GPT technology in the secure Microsoft Azure Cloud. With the aim of optimizing knowledge management and efficiency. The system enables new usage options within the testing group and is operated securely. Find out more about the innovative AI assistance system now.

    See TÜV NORD reference
    TÜV NORD GPT: Development of AI assistance
    Project duration

    since September 2023

    33.000

    GPT applications in the first month

    ChatGPT Model 4

    in the European Microsoft Azure Cloud

    See TÜV NORD reference
  • Server room with green planting, demonstrating data platform for the Azure Cloud.
    digikoo: A data platform for the Azure Cloud

    Structured geodata, automated quality assurance, seamless provision - we developed a powerful Snowflake data platform on Azure for Digikoo. It makes analysis easier for data scientists and lays the foundation for precise forecasts and new use cases.

    See digikoo reference
    digikoo: A data platform for the Azure Cloud
    5 months

    Project duration

    Climate change

    Plan digitally and implement efficiently

    Foundation data platform

    Microsoft Azure Cloud

    See digikoo reference
  • High-voltage power lines over a green field at sunset
    Bayernwerk: Knowledge management via teams

    Experience must not be lost - Bayernwerk digitizes the knowledge of long-standing employees. MaibornWolff designed an intuitive MS Teams app with a clear UX/UI. Close collaboration, lived Scrum values and user-centered development make the app a success. Promoting exchange, optimizing processes - this is how knowledge transfer works today.

    Read more
    Bayernwerk: Knowledge management via teams
    6 months

    Project duration

    Target:

    Identify implicit knowledge

    Requirements:

    a user-centered, intuitive and clear UX/UI design

    Read more
A stylized silhouette in a polygonal pattern, predominantly in shades of pink and purple.
In MaibornWolff, we have a partner who supports our ambitious iMOW project with great commitment and in-depth technical expertise across the entire technology stack. By acting in a trusting, open and equal manner and using our respective strengths to ensure the success of the project, we can develop our digital products to the highest quality standards. At the same time, we are able to optimize our processes.
Anke Kleinschmit, Head of Development, ANDREAS STIHL AG & Co. KG

What are your tasks?

The best AI projects are created through collaboration - and we are the enabler for your business. What you ideally bring to the table:

  • An internal champion who strategically anchors AI and promotes the topic internally.
  • A real problem where AI can create tangible added value.
  • Openness and willingness to change in order to think about new processes, roles and ways of working.
  • Minimum technical setup, e.g. cloud readiness, API access or data export - but companies with "brownfield IT" can also get started. (Click here for the cloud readiness check with MaibornWolff)
Lacking knowledge? No problem!

A lack of expertise is not a criterion for exclusion - MaibornWolff offers enablement, training and shadowing for precisely this purpose.

The following mindset is important: if you really want to work with AI, you have to be prepared to develop further - as a team and as an organization.

Strong partnerships

As a software company, we rely on strong partnerships - they are a key success factor. Our partners bring specialized expertise, state-of-the-art technologies and high-quality resources that help us to develop excellent solutions and further expand our position in the market.

Logos von AWS, Microsoft, nvidia und Apple
Logos von Aleph Alpha, Stackit, Vercel und contentful

Our range of AI services: make your company future-proof!

AI technologies are developing at breakneck speed - it is no easy task for companies to keep their finger on the pulse. We have been supporting projects in the field of generative AI for over 8 years . Anchor artificial intelligence even deeper in your organization - with the services offered by MaibornWolff:

  • AI readiness check: Within a time frame of 2 weeks, we work with you to analyze how well your organization is prepared for the integration of AI.
  • AI workshop: Ensures a common understanding of AI, use cases, potentials and limitations among all participants . The aim is to identify viable ideas and prioritize them in terms of feasibility and relevance.
  • AI consulting: It delves into technological, organizational and regulatory issues: Which architecture is suitable? How can the solution be integrated into existing systems? This phase creates the framework conditions for reliable implementation.

Current guides on the topic of data & AI

  • Eine menschliche Hand und eine Roboterhand berühren einen leuchtenden Würfel.
    KI-Agenten
    Sie automatisieren, analysieren, entscheiden – und machen Ihr Geschäft zukunftsfähig.
    read more
  • Brille reflektiert Datenanalyse-Diagramm, symbolisiert Descriptive Analytics.
    Descriptive Analytics

    Descriptive Analytics erklärt – Definition, Ablauf, Nutzen & konkrete Beispiele.

    read more
  • Arbeiter überwacht Maschinenparameter für Predictive Maintenance in einer Produktionsanlage.
    Predictive Maintenance

    Predictive Maintenance erklärt: damit Wartung planbarer, effizienter und smarter wird.

    read more
  • Künstliches Gehirn schwebt über Tisch in Büro, symbolisiert KI im Unternehmen.
    KI in Unternehmen

    KI richtig nutzen: Daten, Chancen, Herausforderungen und konkrete Lösungen.

    read more
  • Roboter in einer modernen Fabrikhalle, repräsentiert den Einsatz von KI in der Industrie.
    KI in der Industrie

    Wie KI Innovation, Effizienz und neue Technologien in der Industrie vorantreibt.

    read more
  • Neonbeleuchteter Lagerbereich, symbolisiert systematische Bestandsverwaltung in Demand Forecasting.
    Demand Forecasting
    Die Kundennachfrage besser einschätzen: Definition, Methoden & Mehrwert von Demand Forecasting.
    read more
  • Kristallkugel mit digitaler Stadt und Diagramm, symbolisiert Datenanalyse und Prognosen innerhalb Predictive Quality.
    Predictive Quality

    Wie Predictive Quality hilft, die Kundenzufriedenheit zu steigern und die Produktionskosten zu senken.

    read more
  • Person mit Kopfhörern am Laptop, symbolisiert Nutzung von KI-Use-Cases.
    KI-Use-Cases
    KI in der Praxis: Use Cases von Vertrieb bis Produktion, mit Chancen & Hürden.
    read more

    Arrange your consultation appointment today!

    Book an appointment now

    FAQ: Frequently asked questions about AI solutions for companies

    • What is an AI strategy for the company?

      An AI strategy defines how a company uses artificial intelligence in a targeted manner to achieve business goals. It combines technological possibilities with specific use cases, organizational requirements and governance specifications - and thus creates the framework for meaningful, sustainable AI implementations.

    • How can companies benefit from AI?

      AI automates processes, supports decision-making, increases efficiency and enables new business models. Companies benefit, for example, from lower costs, better planning, a personalized customer approach and faster innovation cycles.

    • How do companies deal with AI?

      Successful companies rely on a structured, step-by-step approach: they start with selected use cases, create a data and technology basis, train their teams and integrate AI into existing processes - accompanied by clear rules for governance and responsibility.

    Why MaibornWolff?

    As one of the most innovative IT service providers with a great passion for AI, we focus entirely on the project business and individual software development - without our own products. To stay at the forefront, we continuously invest in our team of digital technology engineers and develop digital solutions that are well thought-out, efficient and reduced to the essentials.

    Our principle: simplicity instead of complexity. We only develop what is really needed - tailor-made, useful and reliable. Our results speak for themselves. With over 800 large-scale systems and more than 10,000 person-years of experience in high-end software engineering, we are one of the few who can reliably implement even the largest and most complex IT landscapes. Thanks to close partnerships with leading hyperscalers, our customers operate their solutions in today's most modern and powerful environments.

    Less technology. Better Business.

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