AI solutions for companies
Individualized, economically viable solutions
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."
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.
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:
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Which technologies really suit your own organization?
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Which AI use cases are realistic - and which are just a gimmick?
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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:
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Uncertainty about legal requirements, data protection and AI governance
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Lack of clarity about effort, scalability and actual benefits
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Overwhelmed by the multitude of AI tools and frameworks
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Silo thinking between specialist departments, IT and management level
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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
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Healthcare & Medical Technology,
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Energy industry,
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Insurances,
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regulated industries and
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Administrations and
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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.
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:
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
Technically validate initial ideas through PoC (proof of concept).
Period: 2-6 weeks - depending on the use case.
Goal: First MVPs (Minimum Viable Products), find out whether the hypotheses are confirmed in practice & technical/organizational security in handling.
3. Implement
Based on the PoC: Development of productively usable systems with interfaces, logging, governance & user integration.
Timeframe: 4-8 weeks.
Goal: Active integration of end users.
4. Scaling
Scalable platform solution incl. reusable architecture components, standardized APIs, clear role models & governance rules, possibly data mesh approach.
Goal: Develop new use cases based on the new, sustainable & company-wide usable AI infrastructure.
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.
Would you like to identify and leverage your organization's AI potential?
Arrange your non-binding consultation appointment today!
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.
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To the STARTRAIFF referenceSTARTRAIFF: Business Intelligence for the sales forceCloudData/Data PlatformsAppsTo the STARTRAIFF referenceAggregation of internal customer data & external data in a single web application
To the STARTRAIFF referenceData bundling & analysis with Amazon Bedrock
To the STARTRAIFF referenceIntuitive user interface for sales, 88% reduced preparation time before customer visits
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To the Health.exe referenceHealth.exe: AI-supported platform creates training plans for patientsCloudData/Data PlatformsAppsTo the Health.exe referenceAI-supported service for orthopedic & sports medicine practices
To the Health.exe referenceCloud-based web application for doctors for the automated, evidence-based creation of individually tailored patient training plans
To the Health.exe referenceNew revenue source without fixed costs, higher patient retention, AI-supported & guideline-based
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See robotics referenceResearch: AI-supported robotics for employees with physical limitationsEmbedded Systems & RoboticsIndustry 4.0ManufacturingSee robotics referenceCustomized assistance robots for people with physical disabilities in production
See robotics referenceIntegration of AI for automated adaptation of robots to people's capabilities
See robotics referenceEffective empowerment of people with physical disabilities
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See Siemens referenceSiemens: AI demand prediction platform for industrial production planningCloudData/Data PlatformsIndustry 4.0See Siemens referenceMachine learning for time series forecasting
See Siemens referenceAutoML for automated adaptation of models to different data
See Siemens referenceUnified, scalable solution, optimized inventory costs, efficiency gains
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See TÜV NORD referenceTÜV NORD GPT: Development of AI assistanceAppsWeb & Portal PlatformsPublic/AdministrationSee TÜV NORD referenceSecure operation of AI in the European MS Azure cloud environment
See TÜV NORD referenceFrontend & backend via MS Azure App, "Chat with your PDF" for TÜV employees
See TÜV NORD referenceQuick implementation of new technologies (AI), strengthening knowledge management
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See referencePlanning systems: Optimizing the capacity utilization of pressing plantsData/Data PlatformsIndustry 4.0ManufacturingSee referenceCentralized planning of component manufacturing for cost- & resource-optimized production capacity worldwide
See referenceConversion from local processing with fat clients to a client-server application, migration to the cloud
See referenceData-based planning & calculation of different manufacturing scenarios & site-specific production costs
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See referenceGlobal workforce planning systemCloudData/Data PlatformsPublic/AdministrationSee referenceCentralized web-based IT system to replace individual isolated solutions
See referenceEvent sourcing for planning & analytics, domain-driven design, cloud migration
See referenceEasy updates, expansion, maintenance, optimized security
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.
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:
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An internal champion who strategically anchors AI and promotes the topic internally.
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A real problem where AI can create tangible added value.
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Openness and willingness to change in order to think about new processes, roles and ways of working.
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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.
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:
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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.
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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.
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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
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M2M communication explained simplyread moreWas M2M bedeutet, wie es funktioniert und wo es in der Praxis eingesetzt wird.
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Understanding the Pros and Cons of AIread moreSeize opportunities, manage risks—and make informed decisions.
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AI Governance: Definition & Principlesread moreAI governance allows you to establish a framework for the use of AI in your organization.
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Effective AI implementation: A practical guide for modern rganizationsread moreSuccessful AI implementation requires expertise and a clear roadmap.
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Robotic process automation with a clear focusread moreStreamline processes, structure interfaces, and implement automation where it makes sense.
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Production automation that provides guidanceread moreStabilise processes, reduce complexity, make results measurable.
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Process automation with a sense of proportionread moreSimplify processes, identify potential, and use automation in a targeted manner.
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AI automation with a clear focusread moreStabilize processes, reduce complexity, create measurable benefits.
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Mastering AI complianceread moreHow to bring your AI system into line with applicable laws and ethical standards.
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AI in the automotive industryread moreHow AI is making the automotive industry more efficient, smarter, and more competitive.
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How does artificial intelligence work?read moreHow AI works explained in simple terms—from data to models to benefits.
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Using artificial intelligenceread moreAI is more than just hype: it is already being used today - in everyday life, in business, for society.
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Large Language Modelsread moreUnderstanding and using LLMs: What they can do, where they can help – and how to get started.
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ChatGPT in businessread moreUse generative intelligence strategically, securely and with clear added value.
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Descriptive Analyticsread moreDescriptive analytics explained – definition, process, benefits and specific examples.
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Predictive Maintenanceread morePredictive maintenance explained: making maintenance more predictable, efficient and smarter.
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AI in companiesread moreUsing AI correctly: data, opportunities, challenges and concrete solutions.
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AI in productionread morePotential and areas of application for AI, tips and examples for sustainability.
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Artificial intelligenceread moreUnderstanding artificial intelligence simply: applications, impact and future opportunities.
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OpenAI Whisper on the Raspberry Pi 4read moreWhisper on the Pi? It works – but not everything. Practical insights from Marno Janetzky.
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Demand Forecastingread moreBetter estimate customer demand: definition, methods and added value of demand forecasting.
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Predictive Qualityread moreHow predictive quality helps increase customer satisfaction and reduce production costs.
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AI-Use-Casesread moreAI in practice: use cases from sales to production, with opportunities and obstacles.
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.