AI Strategy

Do you want to leverage Artificial Intelligence in your company to increase revenue, improve efficiency, or ease the burden on your employees – but are unsure how to proceed? We provide comprehensive consulting for companies, departments, and teams in developing and implementing an AI strategy aligned with your business goals.

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Your path to trusted AI implementation

Why your company needs an AI Strategy

New AI technologies are rewriting the rules of the business world, pushing the boundaries of what’s possible at an ever-increasing pace. This makes a systematic approach to integrating Artificial Intelligence essential for any organization. Strategic AI consulting is becoming increasingly important. Blindly chasing every trend leads to chaos, while hesitation allows competitors to surge ahead.

A suitable AI strategy is crucial for the success of AI solutions – including in your company. By collaboratively developing your AI strategy, we define how your organi­zation can use AI technologies to achieve business goals and gain a competitive edge. An AI strategy for your company drives innovation, enhances efficiency, and enables the creation of new business models. Investing in a well-thought-out AI strategy as early as possible secures significant advantages in your market. Studies show that companies with a mature AI strategy experience improved operational efficiency and increased employee productivity.

AI Strategy Consulting: Our Approach

An effective AI strategy for businesses requires a thorough analysis of existing data, a clear definition of goals, and a strategic plan for implementation. When collaboratively developing an AI strategy, we focus on the following points:

Goal Definition

At the outset, you decide what your company aims to achieve with AI. This could include automating routine tasks, improving customer interactions, or creating new products and services.

Data Analysis and Management

Data is the lifeblood of AI. We help you build a robust data infrastructure and implement effective data management practices, both of which are critical for the success of your AI strategy.

Technology and Platform Selection

Together, we determine which AI technologies and platforms are best suited to your company’s goals and existing infrastructure.

Skill and Team Development

As the process unfolds, investing in employee training and assembling a multidisciplinary team that combines technical expertise with business intelligence becomes essential.

Implementation Planning and Execution

We develop a detailed plan for implementing the selected AI solutions and support you in their phased rollout.

Monitoring and Adjustment

Monitor the performance of implemented AI systems and make adjustments to ensure they continue to support business objectives. We can assist with this as needed.

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
ml flow
AI Hub
nvidia
Palantir
Airflow
DataRobot
OpenAI
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
OpenAI
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 Consulting Workshops

In our AI Strategy Workshop, you’ll work with the support of our AI experts to develop a strategic approach that maximizes the benefits and success of data and AI for your company or department.

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AI Potential Workshop

Designed specifically for companies at the beginning of their AI journey, our AI Potential Workshop helps you understand and harness the potential of Artificial Intelligence.

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GenAI Use Case Workshop

Want to know how to use generative Artificial Intelligence in your business? Or unsure which use case to pursue first? In our GenAI Use Case Workshop, we’ll find the answers to these and other questions together.

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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 well-thought-out, flexible AI strategy is critical for your future business success. With our support, you’ll ensure your AI investments deliver maximum returns and advance your company’s digital transformation. Start today with a workshop or dive deeper into the topic!

AI Strategy Whitepaper

Our latest AI Strategy Whitepaper provides a comprehensive overview and practical recommendations for developing and implementing a successful AI strategy in businesses.

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AI Strategy Guide with t3n

We’ve created a workbook for t3n to help identify AI application potentials in companies and develop a tailored strategy, including tools and Excel sheets for planning and implementation.

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

Which Companies Benefit from an AI Strategy?

A well-thought-out strategy for using AI is crucial for companies of all sizes and industries today. Thanks to our interdisciplinary teams and extensive project experience, we work across industries.

We have particularly deep expertise in the automotive, pharmaceutical, and industrial sectors, and we’re also highly active in the insurance industry. Regardless of your sector, we develop AI solutions tailored to your goals, data status, and structures.

Develop your AI Strategy with us!

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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AI Strategy: Frequently asked questions

Why is an AI strategy important for companies?

A robust strategy for leveraging Artificial Intelligence helps you deploy AI purposefully – aligned with your business goals, processes, and existing data. This avoids inefficient isolated efforts and maximizes the value of your AI investments.

What prerequisites does my company need for an AI strategy?

No specific maturity level is required. Key factors for successful implementation include openness to innovation, a basic understanding of data, and a willingness for strategic growth – everything else is developed collaboratively with you.

How long does it take to develop an AI strategy for businesses?

The duration depends on the company size, project scope, and existing data and technology infra­structure. Once the AI project begins, we can provide a realistic timeline.

Which industries is statworx the right partner for?

We provide consulting across industries – from SMEs to healthcare and finance. Our experienced teams understand the requirements of various sectors and develop tailored AI strategies.

Marcel Plaschke
More questions?
Marcel Plaschke
Head of Strategy, Sales & Marketing