Futuristic, glowing robot with blue eyes stretches a hand forward - in front of an abstract, dark background with light particles.

AI readiness check

Targeted use of AI - with a plan instead of a gut feeling

HomeServicesData & AIAI Readiness Check

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.

Two people work together on a laptop in a bright and modern office space with large windows.
Would you like to use AI in your company? Let our AI experts advise you!

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!

A small selection of our customers

One person is wearing a white, short-sleeved shirt.
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.
Leroy Racette, Head of IT, TÜV NORD Service

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!

  • Close-up of colorful puzzle pieces floating in the air, each piece engraved with a different insurance symbol.
    STARTRAIFF: Business Intelligence for the sales force
    To the STARTRAIFF reference
    CloudData/Data PlatformsApps

    Aggregation of internal customer data & external data in a single web application

    To the STARTRAIFF reference

    Data bundling & analysis with Amazon Bedrock

    To the STARTRAIFF reference

    Intuitive user interface for sales, 88% reduced preparation time before customer visits

    To the STARTRAIFF reference
  • Header_NOW
    NOW: National Organization for Change in Mobility: development of a data warehouse system
    To the NOW reference
    CloudData/Data PlatformsIT Consulting & Strategy

    Data foundation for nationwide charging infrastructure in Germany

    To the NOW reference

    Cloud data warehouse for integration & analysis of many diverse data sources (AWS)

    To the NOW reference

    Solid architecture, single point of truth ensures data-based evaluation of charging station demand

    To the NOW reference
  • A shot from space with a view of the earth. A satellite hovers in the foreground. A forest fire can be seen on the ground below.
    OroraTech - Security & Compliance Support
    To the OroraTech reference
    CloudCybersecurityIT Consulting & Strategy

    Risk threat analyses for satellite startup

    To the OroraTech reference

    Security process definition, IT security risk register, action plan

    To the OroraTech reference

    Future-proof IT security for successful growth

    To the OroraTech reference
  • Two orthopaedic surgeons view a transparent 3D hologram of the skeleton and musculature on an elegant tablet interface, surrounded by floating UI panels.
    Health.exe: AI-supported platform creates training plans for patients
    To the Health.exe reference
    CloudData/Data PlatformsApps

    AI-supported service for orthopedic & sports medicine practices

    To the Health.exe reference

    Cloud-based web application for doctors for the automated, evidence-based creation of individually tailored patient training plans

    To the Health.exe reference

    New revenue source without fixed costs, higher patient retention, AI-supported & guideline-based

    To the Health.exe reference
  • A robotic arm places precise digital data in a futuristic, dark room.
    Research: AI-supported robotics for employees with physical limitations
    See robotics reference
    Embedded Systems & RoboticsIndustry 4.0Manufacturing

    Customized assistance robots for people with physical disabilities in production

    See robotics reference

    Integration of AI for automated adaptation of robots to people's capabilities

    See robotics reference

    Effective empowerment of people with physical disabilities

    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
    See Siemens reference
    CloudData/Data PlatformsIndustry 4.0

    Machine learning for time series forecasting

    See Siemens reference

    AutoML for automated adaptation of models to different data

    See Siemens reference

    Unified, scalable solution, optimized inventory costs, efficiency gains

    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
    See TÜV NORD reference
    AppsWeb & Portal PlatformsPublic/Administration

    Secure operation of AI in the European MS Azure cloud environment

    See TÜV NORD reference

    Frontend & backend via MS Azure App, "Chat with your PDF" for TÜV employees

    See TÜV NORD reference

    Quick implementation of new technologies (AI), strengthening knowledge management

    See TÜV NORD reference
  • Carousel_Schöck_Components-1
    Schöck components: Improvement of the requirements process
    See Schöck Bauteile reference
    IT Consulting & StrategyQuality EngineeringIT Modernization

    Improved dimensioning software for the construction of load-bearing building components

    See Schöck Bauteile reference

    New digital design approach, UX concepts, UI designs, user-centered focus

    See Schöck Bauteile reference

    Higher user satisfaction, better software with less effort

    See Schöck Bauteile reference
  • Cars on assembly line in factory
    BMW Group: Replacement of a production-critical legacy system
    See BMW Group reference
    IT Consulting & StrategyIT ModernizationManufacturing

    IT modernization, replacement of a 20-year-old legacy system

    See BMW Group reference

    Step-by-step migration to a modern, flexible architecture & platform

    See BMW Group reference

    High stability & reliability, long-term scalability

    See BMW Group reference
  • Man checks MAN trucks at sunset.
    MAN: Secure Software Development Life Cycle
    See MAN reference
    CybersecurityIT Consulting & StrategyQuality Engineering

    Protection of digitalized vehicles against virtual attacks & digital threats

    See MAN reference

    SSDLC in vehicle backend systems (UNECE R155), cybersecurity management system

    See MAN reference

    Guidelines, methodologies & tools for independent risk identification, assessment & treatment by employees

    See MAN reference
  • High-voltage power lines over a green field at sunset
    Bayernwerk: Knowledge management via teams
    See Bayernwerk reference
    CloudIT Consulting & StrategyIT Modernization

    Teams app for service technicians

    See Bayernwerk reference

    User-centered, intuitive UX/UI design

    See Bayernwerk reference

    Identification & utilization of implicit knowledge within the company

    See Bayernwerk reference
  • Large rollers on conveyor belt in factory.
    Planning systems: Optimizing the capacity utilization of pressing plants
    See reference
    Data/Data PlatformsIndustry 4.0Manufacturing

    Centralized planning of component manufacturing for cost- & resource-optimized production capacity worldwide

    See reference

    Conversion from local processing with fat clients to a client-server application, migration to the cloud

    See reference

    Data-based planning & calculation of different manufacturing scenarios & site-specific production costs

    See reference
  • Header_Global-Requirements-Planning-System-for-Workforce-2-16-9
    Global workforce planning system
    See reference
    CloudData/Data PlatformsPublic/Administration

    Centralized web-based IT system to replace individual isolated solutions

    See reference

    Event sourcing for planning & analytics, domain-driven design, cloud migration

    See reference

    Easy updates, expansion, maintenance, optimized security

    See reference
  • Woman smiling while driving into vehicle.
    DEKRA: Modern enterprise architecture thanks to co-creation
    See DEKRA reference
    CloudIT Consulting & StrategyIT Modernization

    Operational & technical harmonization of the legacy IT landscape

    See DEKRA reference

    Enterprise architecture as co-creation by the lead architects of all IT business units

    See DEKRA reference

    EA community worldwide for all operational units

    See DEKRA reference
  • Server room with green planting, demonstrating data platform for the Azure Cloud.
    digikoo: A data platform for the Azure Cloud
    See digikoo reference
    CloudData/Data PlatformsIT Consulting & Strategy

    Data-based information for planning & implementing the climate transition for the public sector & energy providers

    See digikoo reference

    Scalable foundation data platform on MS Azure for migrating & automating differently formatted geo-data into a structured data schema

    See digikoo reference

    Quality-checked data, provision in the form of the target data model, robust, scalable database & infrastructure

    See digikoo reference
  • A complex labyrinth of floating cloud paths that lead to a shiny, golden piggy bank in the middle.
    Travel information systems: 25 percent savings in cloud costs and stable operation thanks to FinOps
    To the FinOps reference
    CloudIT Consulting & StrategyWeb & Portal Platforms

    Alignment of the distributed travel information system with many data sources & target groups on the AWS cloud

    To the FinOps reference

    FinOps: cost transparency, cloud strategy, system & architecture design, usage-based operating times, early anomaly detection

    To the FinOps reference

    Cost transparency at team level, lean operating processes, robust observability

    To the FinOps reference
  • A slender robotic arm in a production hall, picking up coins and placing them in a piggy bank-shaped cloud, while console screens in the background display cost-waste diagrams.
    Supply chain management: Reducing cloud operating costs by 50 percent with FinOps
    To the FinOps reference
    CloudData/Data PlatformsIT Consulting & Strategy

    Reduction of costs caused by over-dimensioning & manual processes, establishment of transparency

    To the FinOps reference

    Targeted process modernization, automation & rightsizing

    To the FinOps reference

    Annual cloud operating cost reduction: 400,000 EUR, scalability, reliability

    To the FinOps reference
Arrange your consultation appointment today!

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:

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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

3. carrying out the measurement

4. target setting

5. development of measures & roadmap

6. conclusion & framework for action

7. aftercare & follow-up

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
Quote-WOMAN
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.
Carolin Sadrozinski, Consultant Tektit Consulting

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:

abstract-lininen-7

1. preparation & planning

  • Provide relevant information and data
  • Identify suitable stakeholders (e.g. from IT, HR, management)

2. active participation

3. implementation & follow-up

4. communication & cooperation

Would you like to become a satisfied MaibornWolff customer yourself?

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).

Team meeting with three people at the laptop.

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.

Arrange your consultation appointment today!

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.

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