AI consulting for companies
From hype to business success: comprehensive AI consulting
AI is no longer a field of experimentation, but a decisive competitive factor. As experienced AI consultants, we support you in not only understanding this technological change, but also actively utilizing it for your growth. We accompany you throughout the entire process—from the initial idea to technical integration:
Artificial intelligence will dominate the IT agenda of German companies in 2026. According to the latest MaibornWolff “Technology Efficiency” Study for 2026, 61% of respondents confirm that the use of AI tools has increased in 2025. At the same time, the study shows that without a clear strategy and defined goals, AI does not solve problems—it merely amplifies existing inefficiencies. This is precisely where professional AI consulting comes in: it combines technological possibilities with a clear strategy, realistic use cases, and measurable results.
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Identify potential: We analyze your processes and find exactly the areas of application that offer you the highest ROI (return on investment).
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Developing a strategy: Together, we create a data and AI roadmap that is precisely tailored to your business goals.
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Implementing technology: Our experts select the right tools and integrate them seamlessly into your existing IT landscape.
Your result: You benefit directly from more efficient processes, tap into new business models, and take your customer service to the next level through automation.
Current figures confirm that this leverage is real: 42% of the IT managers surveyed have already noticed an increase in process efficiency as the primary benefit of AI. In contrast, 19% currently see no tangible business value. The difference lies in the quality of preparation and implementation.
“Those who view AI merely as a panacea will be disappointed. Those who, on the other hand, see it as a specialized tool will reap significant benefits.” (MaibornWolff study “Technology Efficiency” 2026)
Less Technology. Better Business.
Individual Tempo
We tailor the speed precisely to your needs – from a quick MVP launch to a scalable rollout.
Strategy meets tech
Successful AI requires more than just code. We combine cutting-edge technology with economic strategy consulting.
Focus on people
Technology must be usable. We consistently focus on usability, acceptance, and change management in every solution.
Interdisciplinary power
Benefit from the combined expertise of our more than 1,000 IT specialists from a wide range of fields.
Concrete successes from AI consulting practice
Our AI solutions create measurable technological and organizational added value in the following areas:
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Optimized processes: Increase the competitiveness of your products through data-driven process improvements and greater efficiency.
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Intelligent automation: Drastically reduce costs and the risk of errors by automating routine manual tasks with AI solutions.
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Data-driven decisions: Use advanced analytics to transform large amounts of data into clear recommendations for action for your management.
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Preventive risk management: Identify critical patterns and market trends early on (predictive analytics) in order to act proactively rather than reactively.
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Transparent AI maturity level: We analyze your status quo (AI readiness) and identify specific weaknesses and potential for your implementation.
Your introduction to AI: Fast, cost-effective, and user-centered
We involve your key users from day one and focus on rapid prototyping rather than complex large-scale projects. This creates acceptance and direct added value.
Why a structured approach is crucial: According to Gartner (2025), over 40% of projects involving agent-based AI will be discontinued by the end of 2027—mostly due to unclear objectives, poor data quality, or a lack of business cases. Bitkom also identifies the three biggest hurdles: legal requirements (53%), lack of expertise (53%), and staff shortages (51%). Professional AI consulting addresses precisely these stumbling blocks.
Frequent user testing made sure we were on the right track and made tuning more efficient. I never thought we would release the feature set in such a short time.
Our references & projects
A reference is worth more than a thousand words. Luckily, we have dozens of them. Click through a selection of our most exciting projects and see for yourself!
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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 NOW referenceNOW: National Organization for Change in Mobility: development of a data warehouse systemCloudData/Data PlatformsIT Consulting & StrategyTo the NOW referenceData foundation for nationwide charging infrastructure in Germany
To the NOW referenceCloud data warehouse for integration & analysis of many diverse data sources (AWS)
To the NOW referenceSolid architecture, single point of truth ensures data-based evaluation of charging station demand
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To the OroraTech referenceOroraTech - Security & Compliance SupportCloudCybersecurityIT Consulting & StrategyTo the OroraTech referenceRisk threat analyses for satellite startup
To the OroraTech referenceSecurity process definition, IT security risk register, action plan
To the OroraTech referenceFuture-proof IT security for successful growth
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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 Schöck Bauteile referenceSchöck components: Improvement of the requirements processIT Consulting & StrategyQuality EngineeringIT ModernizationSee Schöck Bauteile referenceImproved dimensioning software for the construction of load-bearing building components
See Schöck Bauteile referenceNew digital design approach, UX concepts, UI designs, user-centered focus
See Schöck Bauteile referenceHigher user satisfaction, better software with less effort
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See BMW Group referenceBMW Group: Replacement of a production-critical legacy systemIT Consulting & StrategyIT ModernizationManufacturingSee BMW Group referenceIT modernization, replacement of a 20-year-old legacy system
See BMW Group referenceStep-by-step migration to a modern, flexible architecture & platform
See BMW Group referenceHigh stability & reliability, long-term scalability
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See MAN referenceMAN: Secure Software Development Life CycleCybersecurityIT Consulting & StrategyQuality EngineeringSee MAN referenceProtection of digitalized vehicles against virtual attacks & digital threats
See MAN referenceSSDLC in vehicle backend systems (UNECE R155), cybersecurity management system
See MAN referenceGuidelines, methodologies & tools for independent risk identification, assessment & treatment by employees
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See Bayernwerk referenceBayernwerk: Knowledge management via teamsCloudIT Consulting & StrategyIT ModernizationSee Bayernwerk referenceTeams app for service technicians
See Bayernwerk referenceUser-centered, intuitive UX/UI design
See Bayernwerk referenceIdentification & utilization of implicit knowledge within the company
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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
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See DEKRA referenceDEKRA: Modern enterprise architecture thanks to co-creationCloudIT Consulting & StrategyIT ModernizationSee DEKRA referenceOperational & technical harmonization of the legacy IT landscape
See DEKRA referenceEnterprise architecture as co-creation by the lead architects of all IT business units
See DEKRA referenceEA community worldwide for all operational units
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See digikoo referencedigikoo: A data platform for the Azure CloudCloudData/Data PlatformsIT Consulting & StrategySee digikoo referenceData-based information for planning & implementing the climate transition for the public sector & energy providers
See digikoo referenceScalable foundation data platform on MS Azure for migrating & automating differently formatted geo-data into a structured data schema
See digikoo referenceQuality-checked data, provision in the form of the target data model, robust, scalable database & infrastructure
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To the FinOps referenceTravel information systems: 25 percent savings in cloud costs and stable operation thanks to FinOpsCloudIT Consulting & StrategyWeb & Portal PlatformsTo the FinOps referenceAlignment of the distributed travel information system with many data sources & target groups on the AWS cloud
To the FinOps referenceFinOps: cost transparency, cloud strategy, system & architecture design, usage-based operating times, early anomaly detection
To the FinOps referenceCost transparency at team level, lean operating processes, robust observability
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To the FinOps referenceSupply chain management: Reducing cloud operating costs by 50 percent with FinOpsCloudData/Data PlatformsIT Consulting & StrategyTo the FinOps referenceReduction of costs caused by over-dimensioning & manual processes, establishment of transparency
To the FinOps referenceTargeted process modernization, automation & rightsizing
To the FinOps referenceAnnual cloud operating cost reduction: 400,000 EUR, scalability, reliability
Would you like to identify and leverage the AI potential of your organization? Arrange your non-binding consultation appointment today!
MaibornWolff's focus areas in AI consulting
Every project starts with an individual needs analysis. Our core competencies lie in:
AI deployment preparation
We make your data fit for AI – from quality assurance to IT architecture.
Process optimization
Increase efficiency, reduce costs, and minimize the risk of errors with AI.
Data & AI strategy
Develop an AI roadmap that measurably contributes to your business goals and ROI.
AI transformation
We support change through change management and upskilling for maximum acceptance.
New Compliance Framework 2026: EU AI Act
Today, thorough preparation for the deployment of AI also includes addressing the legal framework. On August 2, 2026, the key obligations of the EU AI Act will come into force. From that date onward, companies that develop, offer, or use AI systems must, among other things:
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Maintain governance structures and documented risk analyses for AI systems
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Demonstrate the AI literacy of their employees and contractors
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Comply with transparency and labeling requirements for AI-generated content
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Implementing Governance Rules for General-Purpose AI Models (GPAI)
The fine structure under Article 99 of the EU AI Act has three tiers: violations of prohibited AI practices are punishable by fines of up to 35 million euros or 7% of global annual turnover; violations involving high-risk AI with fines of up to €15 million or 3%; and providing false information to authorities with fines of up to €7.5 million or 1.5%.
Technological Expertise
Successful AI projects are not based on short-term trends, but on deep technical understanding. We use state-of-the-art technologies to implement your requirements in a stable and scalable manner. You benefit from a wealth of experience that began long before the current AI boom:
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12+ years of data science: In-depth expertise in data analysis, algorithms, and modeling.
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8+ years of generative AI: Proven application expertise long before ChatGPT & Co.
Our customized AI services are built on this solid foundation:
Big Data & Analytic
We structure your big data through data engineering and advanced analytics.
Data Platforms
We build modern data architectures using ETL/ELT for warehouses and lakes.
Generative AI & LLMs
We integrate leading NLP & LLM technologies such as GPT into your processes.
Technology should always be used where it adds value—not for its own sake. It is important to avoid technological over-engineering and to build the IT systems of the future in a lean manner.
Source: MaibornWolff Study on Technology Efficiency, 2026
AI area of application in the company
Which AI use cases can you implement with AI consulting from MaibornWolff?
The market for AI consulting is growing rapidly: According to the Federal Association of German Management Consultancies (BDU, January 2026), AI became the industry’s key growth driver in 2025 (+18.8%)—and the BDU expects AI-driven growth of +22% in 2026. At the same time, our market research data shows that 47% of respondents feel overwhelmed by the sheer number and frequency of new AI tools. This makes AI consulting by experienced consultants more important than ever. After all, the range of feasible AI use cases is virtually unlimited, spanning everything from R&D to interactions with employees and customers.
Research & Development
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Digital Twins & Simulation: Test products virtually.
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Knowledge Management: Centralize research knowledge.
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Generative design: Optimizing material properties.
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Time-to-market: Drastically shorten development cycles.
Production
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Predictive Maintenance: Predicting failures.
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Computer vision: Automated quality control.
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Smart Energy: Minimizing resources and waste.
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HMI & Cobots: Intuitive human-machine interaction.
Distribution
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Lead scoring: Filter potential customers accurately.
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Dynamic pricing: Optimize prices in real time.
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Churn Prediction: Prevent customer churn.
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Sales Assistants: Automated sales support.
Marketing
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Hyper-personalization: Content for segments of one.
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Conversational AI: Interactive customer engagement.
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Predictive analytics: Anticipating purchasing behavior.
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Content Automation: Scalable creation of assets.
Human Resources (HR)
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Recruiting-Support: CV-Screening und Matching.
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Skill gap analysis: Targeted team development.
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Adaptive Learning: Personalized training programs.
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Workforce Analytics: Data-driven workforce planning.
Book an AI consultation now and get fit for the future!
Generate added value from your data with AI, optimize processes, inspire customers, and make your organization fit for the AI future: Your company has untapped potential to become more efficient, faster, and more innovative with AI. Our AI consulting services help you identify and leverage these opportunities.
Would you like to identify and leverage the AI potential of your organization? Arrange your non-binding consultation appointment today!
Frequently Asked Questions About AI Consulting (FAQ)
What is AI consulting for businesses?
AI consulting is a strategic service that helps companies systematically identify, evaluate, and profitably implement artificial intelligence. It encompasses the analysis of suitable use cases, the establishment of a robust data foundation, the selection of appropriate technologies, the regulatory framework (EU AI Act), and change management to ensure sustainable AI adoption.
How many German companies are currently using AI?
According to a Bitkom press release dated September 15, 2025, 36% of German companies use AI—nearly twice as many as in the previous year (20%). Another 47% are planning or discussing its use. The main obstacles are: legal requirements (53%), lack of expertise (53%), and staff shortages (51%).
How long does an AI consultation at MaibornWolff take?
That depends on the objective. A discovery workshop typically lasts anywhere from a few hours to a full day. We usually deliver a functional AI prototype within 5 days. Depending on the complexity, it takes anywhere from a few weeks to several months to turn the prototype into a production-ready AI use case.
How much does AI consulting cost at MaibornWolff?
The initial consultation at MaibornWolff is free of charge. Additional costs depend on the scope of the project, the chosen roadmap phase, and the use case. Following the discovery phase, you will receive a detailed proposal outlining clearly defined services and a budget.
Does my company need to comply with the EU AI Act starting in 2026?
Yes. Starting August 2, 2026, the key requirements of the EU AI Act will apply to all companies that develop, offer, or use AI systems. These include governance documentation, risk assessments, AI literacy, and transparency requirements. MaibornWolff can help you ensure compliance.
Why do many AI projects fail?
According to Gartner, approximately 40% of projects involving agent-based AI will be discontinued by the end of 2027—mostly due to unclear objectives, poor data quality, or a lack of business cases. Bitkom also identifies legal uncertainty and a shortage of skilled workers as major obstacles. Structured consulting that includes clearly defined objectives, pilot projects, and change management significantly reduces the risk of failure.
How does AI consulting differ from traditional IT consulting?
AI consulting combines traditional IT topics (architecture, data, integration) with specific AI disciplines: model selection, data quality, prompt engineering, MLOps, Responsible AI, and compliance with the EU AI Act. In addition, AI requires a deep understanding of business processes and change management, as AI implementations always entail organizational change.
How do I start an AI consultation with MaibornWolff?
Contact us for a free initial consultation on equal terms. Together, we’ll clarify your goals, identify the right starting point, and explore initial use case ideas. Based on this, we’ll propose the ideal starting point for our 5-phase roadmap—from discovery to the finished AI product.