
AI readiness check
Targeted use of AI - with a plan instead of a gut feeling
AI readiness check with MaibornWolff
Would you like to strategically anchor artificial intelligence in your company - but don't yet know exactly where you stand? Our AI readiness check will help you gain clarity: in a structured, efficient and interdisciplinary way.
Within two weeks, we will work with you to analyze how well your organization is prepared for the integration of AI and how we can best position it for an AI future. The result is a clear roadmap that shows how you can create real added value.
Strategic clarity
We help you to sharpen your goals, visions and strategic ambitions around AI - and put them on a resilient, long-lasting foundation.
Interdisciplinary perspective
All relevant stakeholders are involved: Management, IT, HR and specialist departments contribute their perspectives.
Structured process
Our check follows a clear, proven process: from measurement and evaluation to a prioritized roadmap.
Concrete results
You don't get theory, but tangible results: Status quo assessment, target image, action plan and certainty of action.

AI Readiness Check - your benefits with MaibornWolff
Many companies start with AI - but often without a strategy that really pays into the company's goals. The result: individual measures without effect, a lack of clarity about responsibilities, a lack of acceptance within the team or unsuitable AI tools. This is exactly where our AI readiness check comes in.
We ensure that you invest in AI in a targeted manner and have a clear basis for action instead of getting lost in too many use cases.
Transparent actual status
Companies receive a clear and comprehensive overview of their current status in the field of AI. This means you know exactly where your company stands - professionally, technologically and organizationally.
Work effectively & efficiently
The structured process only takes two weeks and creates clarity about the objectives and a structured roadmap.
Prioritize goals
We help you to formulate clear maturity goals and derive suitable measures. You receive a clear framework for targeted AI implementations.
Build up knowledge
The joint analysis creates a deep understanding of requirements, potential and concrete next steps.
Mapping perspectives
By involving various stakeholders such as management, HR and IT experts, a comprehensive picture is created.
Accompanying change
The check promotes the necessary awareness in the team - and provides managers with a tool for targeted management.
Who is the MaibornWolff AI Readiness Check intended for?
Our readiness analysis is aimed at SMEs and corporations in all industries, including the public sector. Decision-makers and various stakeholders within a company - including management, HR and IT experts - benefit significantly from our readiness check.
We build on our interdisciplinary perspective and assess each situation individually - just get in touch with us!
Employees can use TÜV NORD GROUP GPT in a variety of ways as a personal assistant, for example to work their way through extensive documents, support their own research or generate new input for product development, for example.
Our references & projects
A reference is worth more than 1,000 words. Fortunately, we have dozens of them. Click through a selection of our most exciting projects and see for yourself!
-
MAN: Efficient threat analysis for control unitsLearn more
Digitalization increases cyber risks - especially for MAN's new CM4 control unit. Our experts use the 4×6 methodology and ThreatSea to identify threats at an early stage and develop targeted protective measures. Find out how MAN uses intelligent risk analysis to strengthen the security of its vehicles.
MAN: Efficient threat analysis for control unitsLearn more7 monthsProject duration
Over 20 workshopsThreat analyses
Over 500Potential risks evaluated
-
Siemens: AI demand prediction platform for industrial production planningRead more
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.
Siemens: AI demand prediction platform for industrial production planningRead moreProject durationSince February 2022
Proof of conceptin a few weeks
Time series predictionfor 100 different products
-
TÜV NORD GPT: Development of AI assistanceRead more
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.
TÜV NORD GPT: Development of AI assistanceRead moreProject durationsince September 2023
33.000GPT applications in the first month
ChatGPT Model 4in the European Microsoft Azure Cloud
-
Schöck components: Improvement of the requirements processRead more
Together with MaibornWolff, the construction industry specialist optimized the requirements management of its Scalix design software. Thanks to the digital design approach, the technical requirements were re-specified and the software was further developed in a user-centered manner. The aim is to continuously increase user satisfaction and integrate internal and external interests. Read more about the methodology and results now!
Schöck components: Improvement of the requirements processRead moreProject durationsince 2022
Team size2-3 Digital Designer:inside
In 2024Scalix replaces old software -
VW: Digitization of key production figures with the iProcess appRead more
Less paper, more efficiency: Volkswagen replaces analog processes with the iProcess app. Cloud-native technologies and digital design enable intuitive recording and analysis of key production figures. This increases transparency and overall equipment effectiveness and paves the way for predictive maintenance at the automotive group.
VW: Digitization of key production figures with the iProcess appRead moreProject durationSince January 2021
Team size5 to 10 persons
Fast app developmentthanks to Digital Design
-
DER Touristik: Become a digital travel companion in 7 monthsRead more
Travel information, bookings, support - all in one app. With Flutter, MaibornWolff developed a cross-platform solution for DER Touristik. In just seven months, a stable app was created for iOS and Android that supports multiple brands, languages and countries. This is how customer proximity travels.
DER Touristik: Become a digital travel companion in 7 monthsRead more7 monthsFrom Kickoff to Go Live
iOS and AndroidDigital travel companion
Whitelabelling solutionUncomplicated integration of additional brands, languages and countries
-
Mixed reality: driving a real car in a virtual worldRead more
Virtual racing in a real car? MaibornWolff made it possible for the BMW M. Within three months, we used Unreal Engine 4 to develop a prototype that processes vehicle signals with high performance and creates an immersive driving experience without motion sickness. The cockpit remains real, the surroundings become the racetrack.
Mixed reality: driving a real car in a virtual worldRead more<3 monthsFrom the vision to the prototype
3D applicationsin real time
TeamUnreal development, XR technology, game design, smart devices, 3D content
-
KUKA: Web interface for a new Human Machine InterfaceRead more
Rethinking robotics: KUKA is working with us to develop iiQKA.OS - an operating system with an intuitive web HMI. Using web technologies and scrum methods, we enable flexible customization and simple control. Open collaboration makes robotics more accessible than ever before.
KUKA: Web interface for a new Human Machine InterfaceRead moreGoalReplacing the current control software
iiQKA.OSFast and intuitive development
> 11,000 hoursProject work
-
STIHL: Control iMOW robotic mower via appRead more
Robot mower redefined: The iMOW from STIHL makes lawn care smarter. Our software expertise combined with STIHL's hardware know-how ensures intuitive app control. The result? A networked device that makes gardening easier - simple, efficient, innovative.
STIHL: Control iMOW robotic mower via appRead moreProject durationsince August 2020
Robot mowerControl via app
Process optimizationwith the customer
-
DEKRA: Modern enterprise architecture thanks to co-creationRead more
New IT for a sustainable future: the global auditing group needed to modernize its IT landscape. Co-Creation created a harmonized architecture and the EA Community promotes cross-border exchange for strong IT until 2025 - and beyond.
DEKRA: Modern enterprise architecture thanks to co-creationRead moreMost important method:Building an EA community
Created conceptEnterprise Architecture
Cooperationat eye level
-
Miele domestic appliances are networked worldwideRead more
How do household appliances become smart? Miele relies on an IoT platform that we played a key role in developing. Container-based architecture ensures stable communication, DevOps for continuous improvement - so that smart appliances can be found in millions of households worldwide.
Miele domestic appliances are networked worldwideRead moreProject durationsince 2016
Success factors:High availability and scalability
IoT platformwith container-based architecture
-
MAN: Secure Software Development Life CycleRead more
Trucks are networked - and therefore unfortunately also targets for attack. With SSDLC, MAN relies on security by design and integrates the highest security standards directly into development. Together with 22 teams, we have established security measures that go beyond the legal requirements.
MAN: Secure Software Development Life CycleRead more22 monthsProject duration
UNECE R155successfully integratedMethodsSecurity Champions, DevSecOps, OWASP SAMM
-
It's LOS: Building a cloud-based low-code applicationRead more
Democracy meets digitalization: For "Es geht LOS!", we developed a low-code app for candidate management in five weeks. Built on AWS, it enables secure draws and efficient user management - for more citizen participation digitally.
It's LOS: Building a cloud-based low-code applicationRead moreProject durationSince the beginning of 2022
MVPin only 5 weeks
TechnologiesAmplify, AppSync, CodeCommit, IAM, Cognito, DynamoDB, Lambda
-
Monitoring alarms in industrial plantsRead more
Safety in industrial plants requires a real-time overview. We developed a live monitoring platform that networks measuring devices and collects data via Azure IoT and Kubernetes. A scalable MVP was created in just three months: alarms appear in under ten seconds thanks to automated data acquisition via smartphone and Bluetooth.
Monitoring alarms in industrial plantsRead more3 yearsProject duration
<3 monthsto the MVP
Cloud migrationModernization & relocation -
Planning systems: Optimizing the capacity utilization of pressing plantsRead more
Maximum capacity utilization, minimum costs: Our customer relies on a central planning system for pressing plants. We have been supporting its further development with .NET Core, GraphQL and PostgreSQL for over ten years. Now the journey is moving to the cloud - for greater scalability, flexibility and efficiency.
Planning systems: Optimizing the capacity utilization of pressing plantsRead more>10 yearsCustomer support
Technological modernizationCloud-ready platformEfficiency through dataSite-specific cost planning -
Global workforce planning systemRead more
How do you achieve globally harmonized workforce planning? With a modern web application based on domain-driven design and hexagonal architecture. Event sourcing ensures transparent traceability, while Azure and Quarkus provide stability and scalability. The result: a flexible, future-proof solution.
Global workforce planning systemRead moreTeam sizeUp to 8 employees
Domain Driven DesignDevelopment approach
Microsoft Azure Cloudallows easy roll-out of new versions
-
DER Touristik Online: Development and migration of a multi-client capable travel booking platformRead more
Different brands, one platform: DER Touristik merges several independent websites. We are supporting the migration to the AWS cloud with digital design, microservices and testing. The focus is on performance, SEO and UX - for a seamless digital travel experience.
DER Touristik Online: Development and migration of a multi-client capable travel booking platformRead moreStandardized platformMulti-client travel portalQuality assuranceEnd-2-End test automationCloud transformationMigration to AWS cloud -
KUKA: UI/UX design for an app for load data analysis for industrial robotsRead more
How do you reduce support requests? With a smart UX! KUKA and MaibornWolff developed a web-based application for load data analysis. Through "Understand/Build/Learn" we recognized challenges early on and validated solutions for an intuitive user experience.
KUKA: UI/UX design for an app for load data analysis for industrial robotsRead moreMethodProduct Experience Design
Customer requestEasier interaction between users and the system
Our goalOptimized load data analysis, fewer support requests, higher satisfaction -
BMW Group: Replacement of a production-critical legacy systemRead more
20-year-old system, new digital future. We gradually migrated production software to a flexible architecture. After two years, central plants were running on the new solution - stable, fail-safe and ready for the challenges of tomorrow.
BMW Group: Replacement of a production-critical legacy systemRead moreProject durationMid-2018 to the beginning of 2024
Team size25 employees
Legacy systemreplaced after 20 years
-
BMW Group: Virtual reality brings vehicle design to lifeRead more
From the first draft to series production - BMW uses VR to visualize the entire development process. Based on the Unreal Engine, a uniform platform visualizes designs and processes. This saves on hardware prototypes and enables location-independent collaboration. MaibornWolff plays a key role in driving the development and integration of these VR use cases.
BMW Group: Virtual reality brings vehicle design to lifeRead more3.2 yearsProject duration
CooperationLocation-independent and virtual
InfrastructureScalable and expandable thanks to the cloud
-
BMW Group: Remote software upgrade for vehiclesRead more
No visits to the workshop, no stress - thanks to Remote Software Upgrade, BMW vehicles worldwide remain up-to-date "over-the-air". MaibornWolff has been developing and operating the backend for secure updates for over three years. Microservice architectures and DevOps approaches guarantee stability, performance and security.
BMW Group: Remote software upgrade for vehiclesRead more5 yearsProject duration
Millions of vehiclesreceive new features thanks to "over-the-air" upgrade
IT securityAlways up-to-date thanks to remote software upgrade
-
Creditreform: Secure proof of identity on the webRead more
Verifying online identities in a forgery-proof manner while maintaining user-friendliness - CrefoTrust makes it possible. Together, we developed a solution that creates trust with blockchain technology and proofs of concept. Personal and company data remain protected, while verifications run smoothly.
Creditreform: Secure proof of identity on the webRead more5 yearsProject duration
Pilot testsbased on several PoCs
Decentralized identityallows tamper-proof storage of identities and company information
-
Bayernwerk: Knowledge management via teamsRead more
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.
Bayernwerk: Knowledge management via teamsRead more6 monthsProject duration
Target:Identify implicit knowledge
Requirements:a user-centered, intuitive and clear UX/UI design
-
Weidmüller: Progression of the Industrial Service PlatformRead more
IoT meets agility - Weidmüller and MaibornWolff developed the easyConnect platform for remote access, data visualization and machine learning. After intensive exploration, an MVP was created, accompanied by a cross-functional Scrum team. Making Industrial IoT smarter and more efficient.
Weidmüller: Progression of the Industrial Service PlatformRead more12 monthsup to the MVP
8 weeks analysisof professional, technical and organizational factors
Innovative portalfor end-to-end solutions
-
SMA: Development of a Web UI for ennexOS platformRead more
Optimizing energy flows, reducing costs - we have been developing the Web UI of the ennexOS platform with SMA Solar Technology since 2016. It digitizes energy management processes for over a million users and combines smart solutions for a sustainable energy future.
SMA: Development of a Web UI for ennexOS platformRead moreProject durationsince 2016
> 1.000Modules and components in ennexOS platform
> 7.000Fuse tests
-
digikoo GmbH: Apple Vision Pro for city plannersRead more
Planning cities smarter: Together with TUM, we developed the 3Digipad for Apple Vision Pro. It visualizes complex energy data in 3D and makes scenarios intuitively tangible. Dynamic building data and KPIs support urban planners in making sustainable decisions.
digikoo GmbH: Apple Vision Pro for city plannersRead more4 monthsProject duration
3D map with KPIsDisplay building data dynamicallyEnergy dataImmersive visualization -
digikoo: A data platform for the Azure CloudRead more
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.
digikoo: A data platform for the Azure CloudRead more5 monthsProject duration
Climate changePlan digitally and implement efficiently
Foundation data platformMicrosoft Azure Cloud
AI readiness check: procedure & content
In just two weeks, we systematically determine the current status of AI integration in your company. Once the status quo is clear, we work together with the most important stakeholders to determine how AI can be successfully implemented in your company.
The AI readiness check involves the following specific steps:

1. contact
In an initial meeting, we ask about the needs and framework conditions, such as whether there is already an AI initiative, who is driving the topic and the framework in which the AI readiness check would be embedded.
2. workshop & interview planning
We plan the implementation of the readiness check in the form of a workshop and involve various stakeholders from management, specialist departments, HR and IT. We also jointly determine the time horizon for the objectives and measures to be developed - usually a period of around 6 to 18 months.
We go through the readiness check with the client in advance. We adapt terminology to the situation, thereby increasing people's understanding in the workshop and reducing potential resistance. We also adjust and supplement individual questions as required in order to evaluate your company even better, for example if you would like to offer AI services yourself.
3. carrying out the measurement
Our AI maturity model will be applied in the workshop (and possibly in the interviews). Six central dimensions are considered from an interdisciplinary perspective, including:
- Strategy (AI as part of the strategic direction),
- Application of AI (identifying and leveraging potential),
- Talent and culture (building and distributing knowledge, AI in everyday working life),
- Technology (use of an AI platform with defined AI architecture),
- Data (preparation, access and use as well as quality optimization) and
- Change management (creating awareness for change).
The workshop participants vote together on each question of the maturity model, discuss their different points of view and agree on a qualified and quantified assessment. They then define target maturity levels and concrete steps that are necessary within the specified time horizon.
At the end, the maturity level of your company is clearly on the table - including two focus dimensions, which are at the center. The prioritized roadmap for the coming months is based on these surveys.
4. target setting
Together with the decision-makers, we set short and medium-term maturity targets for the coming weeks and months. The measures are prioritized on the basis of the evaluation results.
5. development of measures & roadmap
The status quo, maturity level and goals have been determined. Now it's time to develop the specific measures and the roadmap, based on best practices and proven formats. We create a structured plan that fits the situation and the company exactly.
6. conclusion & framework for action
You will receive a detailed PDF document with all the results of the readiness check and a presentation of the current maturity level in the dimensions mentioned. We also create a management summary for top management with clear recommendations for action, the roadmap and the specific challenges that may affect implementation.
It is now possible for you to invest in artificial intelligence in a targeted manner and take the first steps independently.
7. aftercare & follow-up
Aftercare is optional. It is used to review progress and provide further support if needed. We will follow up with you in a few months to evaluate the progress you have made and your maturity compared to the starting point in more detail.
When is a company AI-ready?
A company is AI-ready when it...
- hasclear goals and strategies for the implementation of AI,
- provides an appropriate infrastructure and technology ,
- has trained staff and a supportive corporate culture,
- usesdata effectively and
- has established a change management system that actively shapes and supports change

I can see at a glance where the gaps to the target are greatest. The presentation of the results in the form of diagrams and figures is a good basis for discussions with the other stakeholders. And provides me with orientation.
AI readiness: your tasks for a successful conclusion
The readiness check is a joint process. For the AI readiness check to be a success, it also requires your commitment - strategically, organizationally and technologically. With these four areas of responsibility, you will successfully complete the AI readiness check and develop the desired AI readiness:

1. preparation & planning
- Provide relevant information and data
- Identify suitable stakeholders (e.g. from IT, HR, management)
2. active participation
- Participation in the workshop and interviews
- Contributing your own perspectives and experiences
- Openness to feedback and collaboration in the process
3. implementation & follow-up
- Implement the recommended measures according to the roadmap
- Provide resources and time for the AI strategy
- Review progress regularly and adjust measures if necessary
4. communication & cooperation
- Communicate results and measures internally
- Collaborate across departments
- Ensure management backing (buy-in & support)
Why many companies are not (yet) AI-ready
Many companies are starting out into the AI-driven future full of expectation and hope. In practice, however, they repeatedly come up against hurdles that massively slow down the successful introduction of AI. We encounter the following stumbling blocks particularly frequently in our projects:
-
Unclear goals - lack of a defined AI strategy
-
Technological gaps - missing or inadequate infrastructure
-
Data problems - poor access and poor data quality
-
Knowledge deficits - lack of training and AI expertise in the team
-
Silo thinking - AI initiatives without coordination between departments
-
Cultural barriers - internal resistance and low acceptance
-
No change management - lack of support for change from above
AI technologies are developing at breakneck speed - stay up to date!
With the AI workshop from MaibornWolff , you can deepen the knowledge in your organization. During the workshop, participants will learn from our experts how to evaluate AI applications themselves, apply prompt engineering and tackle minimum viable products (MVP).

Our range of AI services: ready at all levels
In addition to the AI readiness check and the workshop, we also offer holistic AI consulting for companies. Take a look at our AI use cases: 33 applications of artificial intelligence - from marketing and sales to finance, logistics, production and research.
FAQ: Frequently asked questions about the AI Readiness Check
What does AI readiness mean?
AI readiness describes how well a company is prepared organizationally, technologically and culturally for the use of artificial intelligence. It is about clear goals, suitable infrastructure, qualified teams, available data and a supportive corporate culture.
What is considered in an AI readiness check?
The check analyzes the AI maturity level in six dimensions: Strategy, AI application, talent & culture, technology, data and change management. The aim is to identify strengths and gaps and derive a clear roadmap from this.