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Successful AI Projects Start Here

AI Consulting for Business

We guide you through the development and implementation of customized AI strategies – from classic machine learning models to Generative AI and Agentic AI.
Agentic AI visualisiert: Autonome Intelligenz in einer digitalen Gehirnarchitektur

Why AI Consulting Is Worth It for Your Business

ChatGPT, Microsoft Copilot, and similar tools have pushed AI into the spotlight. Many companies are developing their own prototypes, but the step from an idea to a productive solution is demanding. Especially in complex business environments, projects often fail due to a lack of process integration, heterogeneous IT landscapes, or unclear objectives.
What Companies Need Now for Their AI Transformation
We help you cut through the complexity instead of just chasing trends. With experience from classic machine learning, Generative AI, and Agentic AI projects, we develop solutions that are not only technically impressive but also effective in day-to-day business operations. Four factors are crucial for this:
Clear methodology and analytical foundations
End-to-end view of processes and systems
Reliable implementation in complex IT landscapes
Sustainable integration into daily business operations
This is how we create solutions that are secure, scalable, and practical.

The Difference Is in the Implementation

Not every AI is right for every project. Standard solutions fall short or get stuck in the prototype stage. The key is to choose the right technology for the specific use case – and successfully integrate it into daily business operations. This is exactly where we support you.
HMS has mastered the entire spectrum of modern AI and brings the experience to apply classic AI, Generative AI, and Agentic AI in a targeted manner. This way, we ensure that you don't just experiment with technologies, but achieve concrete results that align with your goals.
Which AI approach is right for your project? Find out:
Depending on the project requirements, a combination of different AI approaches, supplemented by classic software engineering, can be the key to the solution. We guide you through this process with experience, structure, and foresight.
Let's find the right approach for your company together.
Schedule a No-Obligation Initial Consultation

Our AI Consulting Process

Structured, practical, and aligned with your goals – we guide you step by step.
Schritt 1
Analysis & Goal Definition
We assess your current situation, data, and objectives. This clarifies where AI can create real added value.
Schritt 2
Strategy & Roadmap
Based on the analysis, we develop a roadmap: which AI approach is suitable, which steps are sensible, and what are the opportunities and risks.
Schritt 3
Prototyping & Proof of Concept
We test ideas in small pilot projects. This gives you certainty before making larger investments.
Schritt 4
Implementation & Integration
We transfer the successful approaches into your processes and systems. We pay close attention to security, scalability, and smooth operation.
Schritt 5
Operation & Further Development
After the go-live, we continue to support you. Training, support, and continuous optimization ensure long-term success.
Schedule a No-Obligation Initial Consultation
Benefit from Our Experience

Why HMS Is the Right Partner

With HMS, you choose a partner that combines AI consulting with technological competence and many years of project experience. Our consulting is practical, technology-agnostic, and aimed at measurably supporting your goals.
20+ Years of Experience in AI Projects
We know the typical challenges and develop effective solutions.
Holistic Technology Expertise
We provide support from classic machine learning to Generative and Agentic AI, including data engineering, MLOps, and system integration.
Practical & Sustainable
Our solutions support you from PoC to stable operation, including change management and training.
Trust That Counts – Confirmed by BARC
Our clients value our work – as shown by Europe's largest independent user survey in Data & Analytics (BARC, 2025):
100%
Recommendation Rate
100%
Project Goal Achievement
96%
Value Our Tech Expertise
... to the HMS study results
Schedule a No-Obligation Initial Consultation

Our Success Stories

Learn more here about the AI solutions we have developed in various client projects. These examples show how our customized solutions make companies more successful and bring digital transformation to life.

GenAI-Supported Transformation: Migration from SAS to AWS

Finance

Our solution contributed to the modernization of core SAS BI landscapes by successfully facilitating the transition to the cloud. We effectively used GenAI for automated code migration to Python.

Benefits:

  • Long-term cost-effectiveness and efficiency of BI applications
  • Architecture meets BaFin requirements
  • Process optimization through consolidation and professionalisation of processes
Read Case Study

LLM-Based Natural Language SQL Queries

Healthcare / Life Science

Our solution enables natural language SQL queries through a chatbot interface, allowing users without technical expertise to access corporate data.

Benefits:

  • Democratised data access
  • Increased efficiency
  • Informed decision-making
Read Case Study

Analysis of Free Text Data Through Automated Content Tagging

Healthcare / Pharma

Our solution for tagging and structuring content transforms previously untapped free text data into valuable, analysable information, thereby enhancing the data foundation within companies.

Benefits:

  • Faster classification, evaluation, and structuring of data
  • Expansion of the data foundation
  • Informed analysis and decision-making
Read Case Study

Large-Scale RAG System for Efficient Information Retrieval

Chemicals

Our system allows researchers to accurately search a vast amount of internal research data using natural language, enabling them to quickly obtain the necessary information.

Benefits:

  • Enhanced search quality
  • Optimal user guidance
  • Increased user trust
Read Case Study

GenAI-Supported Transformation: Migration from SAS to AWS

Finance

Our solution contributed to the modernization of core SAS BI landscapes by successfully facilitating the transition to the cloud. We effectively used GenAI for automated code migration to Python.

Benefits:

  • Long-term cost-effectiveness and efficiency of BI applications
  • Architecture meets BaFin requirements
  • Process optimization through consolidation and professionalisation of processes
Case Study anschauen

LLM-Based Natural Language SQL Queries

Healthcare / Life Science

Our solution enables natural language SQL queries through a chatbot interface, allowing users without technical expertise to access corporate data.

Benefits:

  • Democratised data access
  • Increased efficiency
  • Informed decision-making
Case Study anschauen

Analysis of Free Text Data Through Automated Content Tagging

Healthcare / Pharma

Our solution for tagging and structuring content transforms previously untapped free text data into valuable, analysable information, thereby enhancing the data foundation within companies.

Benefits:

  • Faster classification, evaluation, and structuring of data
  • Expansion of the data foundation
  • Informed analysis and decision-making
Case Study anschauen

Large-Scale RAG System for Efficient Information Retrieval

Chemicals

Our system allows researchers to accurately search a vast amount of internal research data using natural language, enabling them to quickly obtain the necessary information.

Benefits:

  • Enhanced search quality
  • Optimal user guidance
  • Increased user trust
Case Study anschauen

GenAI-Supported Transformation: Migration from SAS to AWS

Finance

Our solution contributed to the modernization of core SAS BI landscapes by successfully facilitating the transition to the cloud. We effectively used GenAI for automated code migration to Python.

Benefits:

  • Long-term cost-effectiveness and efficiency of BI applications
  • Architecture meets BaFin requirements
  • Process optimization through consolidation and professionalisation of processes
Read Case Study

LLM-Based Natural Language SQL Queries

Healthcare / Life Science

Our solution enables natural language SQL queries through a chatbot interface, allowing users without technical expertise to access corporate data.

Benefits:

  • Democratised data access
  • Increased efficiency
  • Informed decision-making
Read Case Study

Analysis of Free Text Data Through Automated Content Tagging

Healthcare / Pharma

Our solution for tagging and structuring content transforms previously untapped free text data into valuable, analysable information, thereby enhancing the data foundation within companies.

Benefits:

  • Faster classification, evaluation, and structuring of data
  • Expansion of the data foundation
  • Informed analysis and decision-making
Read Case Study

Large-Scale RAG System for Efficient Information Retrieval

Chemicals

Our system allows researchers to accurately search a vast amount of internal research data using natural language, enabling them to quickly obtain the necessary information.

Benefits:

  • Enhanced search quality
  • Optimal user guidance
  • Increased user trust
Read Case Study

FAQs—Frequently Asked Questions about AI Consulting

For us, consulting doesn't mean creating concepts or strategy papers and leaving the rest open. Our focus is on implementation: from identifying relevant use cases and technical integration into complex system landscapes to operation, training, and change management. At HMS, AI consulting means not only planning solutions but reliably bringing them into day-to-day business operations.
We analyze your data situation, your goals, and your processes. This way, we not only select the right AI technology – be it classic AI, generative AI, or Agentic AI – but also ensure a perfect fit for your environment.
In a no-obligation initial call, we discuss your challenges. This leads to a roadmap – from the first analysis and AI consulting to scaling in operation.
Classic AI analyzes data and automates processes. Generative AI creates content and makes knowledge accessible. Agentic AI controls systems independently. Together, these approaches form a toolkit that we use to implement your requirements in a targeted manner. In our AI consulting, we show you how to select the right technology for your goals.
Our strengths lie in complex and regulated industries such as pharmaceuticals, insurance, manufacturing, and energy. In these sectors, we combine technological expertise with a clear understanding of security, compliance, and scalability.
A pilot project (PoC) can deliver results in just a few weeks. For larger rollouts, we plan for several months – depending on the scope and complexity.
Portrait von Christoph Bergen
Christoph Bergen
Team Lead GenAI

Who can I contact with my questions and for the next steps?

An experienced contact person will be at your side from the very beginning – from the initial assessment to further planning.
This gives you a direct point of contact who knows your requirements and guides the process.
Schedule a No-Obligation Initial Consultation
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