AI Strategy

We provide comprehensive consulting to companies, departments, and teams in the development and implementation of their AI strategy. Our strategy consultants support you from the analysis of the initial situation, through the development of a target vision, to the implementation of the strategy.

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hagebau
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Your path to the use of trustworthy AI

Why every company needs an AI Strategy

New AI technologies are redefining the rules of the business world. They are rapidly shifting the boundaries of what is possible. This is precisely why a systematic approach to integrating Artificial Intelligence in companies is essential. Strategic AI Consulting is becoming increasingly important, as blind actionism chasing every trend leads to chaos, and hesitant inactivity allows competitors to pass by. With an AI strategy, companies find the ideal path to succeed with AI.

An AI strategy is a comprehensive plan that outlines how a company intends to use AI technologies to achieve its business goals and gain a competitive advantage. An AI strategy enables companies to drive innovation, increase efficiency, and create new business models. Companies that invest early in a well-thought-out Artificial Intelligence strategy can secure significant advantages in their market. According to studies, companies with a mature Artificial Intelligence strategy experience improved operational efficiency and increased employee productivity.

How to develop an effective AI Strategy?

An effective AI strategy requires a thorough analysis of existing data, a clear definition of goals, and strategic planning for implementation. Companies should consider the following steps:

Goal Definition

Define what your company aims to achieve through the use of AI. This could be automating routine tasks, improving customer interactions, or creating new products and services.

Data Analysis and Management

Data is the lifeblood of AI. A robust data infrastructure and effective data management practices are critical to ensuring the success of your AI strategy.

Technology and Platform Selection

Decide which AI technologies and platforms best fit your company’s goals and existing infrastructure.

Skill and Team Development

Invest in training your employees and assemble a multidisciplinary team that combines technical know-how with business intelligence.

Implementation Planning and Execution

Develop a detailed plan for the implementation of the selected AI solutions and introduce them step-by-step.

Monitoring and Adjustment

Monitor the performance of the implemented AI systems and make adjustments to ensure they continue to support business goals.

Implemented client projects

  • Health & Pharma
  • Strategy

AI Use Case Workshop

In this project, we collaborated with our client, an international pharmaceutical and healthcare corporation, to plan and implement a series of AI use case workshops.

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AI Use Case Workshop
Case study
  • Insurance
  • Strategy

Data Science Strategy Concept

In this project, we collaborated with our client to develop a strategy concept for implementing a data science initiative.

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Data Science Strategy Concept
Case study
  • Automotive
  • Strategy

Operating Model

In this project, we worked closely with our client to develop an operating model for a newly established analytics department. This operating model defines collaboration processes to efficiently implement the strategic vision.

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Operating Model
Case study
  • Finance
  • Strategy

Data Science Platform Strategy

In this project, we developed and evaluated different scenarios for a data science platform in the banking environment.

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Data Science Platform Strategy
Case study
  • Health & Pharma
  • Strategy

OpsModel Scaling Concept

To enable our client to efficiently scale their growing data science initiative, we developed an operational model perfectly tailored to their needs.

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OpsModel Scaling Concept
Case study
  • Other
  • Strategy

Development of a Data Strategy

We helped our client develop a clear and actionable data strategy, with which all business processes can be optimized through effective data usage and AI integration.

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Development of a Data Strategy
Case study
  • Finance
  • Strategy

AI Strategy for a Private Equity firm

We developed a strategy for the application of AI in the portfolio companies of an investment house, which allows the business models to be specifically evaluated in terms of their AI potentials, opportunities, and risks.

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AI Strategy for a Private Equity firm
Case study
  • Other
  • Strategy

AI Strategy: How companies identify their top AI Use Cases

By developing an AI roadmap, we helped our client to identify value-adding and realisable use cases for their future AI ambitions.

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AI Strategy: How companies identify their top AI Use Cases
Case study
  • Other
  • Strategy

Strategically develop and execute AI use cases

By developing a standardized AI Use Case Management Framework, we helped our client achieve tangible project results and prepare for long-term success in AI implementation.

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Strategically develop and execute AI use cases
Case study
  • Finance
  • Strategy

AI Strategy for a Bank

By developing an AI strategy, we helped our client, a State Bank, to set the framework and create the conditions for scaling AI.

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AI Strategy for a Bank
Case study
  • Health & Pharma
  • Strategy

Data Strategy for a leading German hospital

Our client, one of the leading German clinics, wanted to optimize its existing data landscape, which was characterized by a fragmented system landscape, low digital maturity, and lack of user orientation. We developed and implemented a comprehensive data strategy and a data roadmap to sustainably improve data-related processes and technological foundations.

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Data Strategy for a leading German hospital
Case study

Our strength

statworx is one of the leading consulting and development companies for data & AI in the German-speaking region.

We focus intensively on the interfaces between people, economy, society, environment, and AI technology.

Sebastian Heinz
Founder and CEO statworx

Our spotlight topics at a glance:

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Tools, Partner & Technology
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
10+

years of experience in Data Science, ML, and AI

100+

clients from 10 industries and growing

85+

experts from more than 17 fields of study

1,000+

successfully implemented Data and AI projects

AI Strategy workshops

AI Strategy Workshop

Develop a strategic approach with the support of our AI experts to maximize the benefits and success for your company or department through data and AI.

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AI Potential Workshop

Specifically designed for companies at the beginning of their AI discovery journey, this workshop helps you understand and leverage the potential of AI.

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GenAI Use Case Workshop

Would you like to learn how to implement generative artificial intelligence in your company? Or are you unsure which use case to start with? We are here to assist you.

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Request a project now with no obligation
Non-binding initial consultation
Free situation and requirements analysis
Response within 24 hours
Downloads

AI Strategy Consulting by statworx

A thoughtful, flexible AI strategy is crucial for future business success. With the support of statworx, you can ensure that your AI investments yield maximum returns and lead your company through the digital transformation. Start directly with a workshop, or first delve deeper into the topic!

AI Strategy Whitepaper

Our latest AI Strategy white paper provides a comprehensive overview and practical recommendations for developing and implementing a successful AI strategy in companies.

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AI Strategy Guide with t3n

‍We have created a workbook for t3n to identify AI application potential in companies and develop a tailor-made strategy, including tools and Excel sheets for planning and implementation.

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Request a project now with no obligation
Non-binding initial consultation
Free situation and requirements analysis
Response within 24 hours

Develop your AI Strategy now!

01
Free consultation

Discuss your challenges and goals in the area of Data & AI with us.

02
Tailored offer

Receive a customized and transparent offer.

03
Presentation & contract award

We present our approach to all relevant stakeholders.

04
Onboarding with project team

Our dedicated project team takes care of your needs.

Create value from Data & AI
Non-binding initial consultation
Free situation and requirements analysis
Response within 24 hours
Marcel Plaschke
Marcel Plaschke
Head of Strategy, Sales & Marketing
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