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Symbolische Darstellung von Generative AI: Digitale Linien formen ein Gesicht neben einer Person, die am Laptop arbeitet – Visualisierung für den Einsatz von KI im Unternehmen.
From Hype to Productive Reality

Generative AI: Consulting & Implementation for Businesses

Productive applications, not just prototypes. Together, we identify relevant use cases and develop scalable solutions that are securely integrated and sustainable.

How to Make Your GenAI Project a Success

Generative AI opens up fascinating possibilities – from automatically generated texts and interactive knowledge systems to intelligent assistants. In practice, however, many projects get stuck in the prototype stage.
But it doesn’t have to be that way: The keys to success are concrete use cases that deliver clearly measurable added value. Equally important is a stable data and system landscape that allows for seamless integration, as well as clear security and governance structures that build trust.

Our Experience, Your Advantage

Generative AI is already capable of a great deal today – and we know how to translate these capabilities into successful projects. With over 30 productive applications and thousands of project-days of experience, we have proven that GenAI can perform reliably in day-to-day business operations.
4.000+
Days of GenAI Project Experience
30+
GenAI Projects in Production
35+
Experts
External studies also confirm our strengths. In the independent BARC User Survey 2025, we were recognized for our technological expertise and successful project implementation.
Our mission is clear: We take GenAI from concept to implementation.

How We Make GenAI Productive

The biggest challenge rarely lies in the technology itself, but in adapting it to the business context. This requires three key things: a relevant use case, a clean implementation, and seamless integration into existing systems or the users' workflows and processes. This is exactly what our approach is built on.
The path from an idea to a productive GenAI application requires structure and, at the same time, room for iteration. Our approach combines both: clearly defined phases and the flexibility that projects demand in practice.
  • 1. Identifying Potential
    Ideation & Business Value Check
    We determine where GenAI Consulting can create real added value in your company – with a data-driven, practical, and technology-agnostic approach.
  • 2. Developing the Application
    PoC / Rapid Prototyping
    Based on the identified use case, we develop an initial functional solution. This includes business analysis, model configuration, data preparation, setting up the model pipeline, and, if necessary, other system components such as a front end.
  • 3. Preparing for Integration
    Integration & Scaling
    The solution is transferred to your system landscape – scalable, robust, and seamlessly integrated. Interfaces, data flows, and architecture are designed to be future-proof.
  • 4. Enabling Operations
    Validation & Operation
    As you transition to live operation, we support you with monitoring, maintainability, validation, and ongoing development. Data privacy, traceability, and quality are our top priorities.
This turns a single use case into a viable solution that can be used productively and continuously improved.

More Than Single Use Cases: Flexible Support with GenAI

Not every company needs a large, agentic AI system right away. Sometimes, a targeted use case that makes a noticeable difference in the daily work of individual teams is enough. In other cases, the goal is to strategically anchor GenAI throughout the entire organization.
We support you in both scenarios – whether small, fast, and practical, or large, complex, and enterprise-wide. This ensures that GenAI delivers an impact where it makes the biggest difference for you.

Our GenAI Service Portfolio at a Glance

Whether you're taking your first step or scaling existing projects, we guide you along your entire data-to-value journey.

Identify

Recognizing Opportunities
Together, we analyze where GenAI brings real added value and define the strategic focus:
Use Case Scouting & Evaluation
Technology Consulting
Proof of Concept & Prototyping

Build

Developing Solutions
We integrate GenAI seamlessly into your systems – robust, scalable, and productive:
Implementation of AI Systems
Data Integration
Integration & Deployment

Realize Value

Securing Benefits
We make GenAI effective in daily operations through user-centered design and change management support:
UI/UX & End-User Solutions
Change Management & Enablement
Let's talk about where we can specifically help you move forward.
Discuss Your Use Cases – No Obligation

Who Belongs on a GenAI Team?
An Overview of Key Roles

Business expertise, technology, and organization must work together seamlessly. Success depends on teams with clearly defined roles, coordinated responsibilities, and a shared understanding of the goals and implementation.
Our experience shows that certain roles are essential in almost every GenAI project. HMS can provide these competencies as a complete team or to supplement your existing teams.
Core Roles in GenAI Projects
Supplementary Roles – Depending on the Project Situation
These roles form the backbone of the project, from system architecture to the user-friendly interface:
Designs the overall architecture and defines how AI models are embedded into processes and systems. Responsibilities include architectural design, model selection, stakeholder alignment, and defining the technical framework.
Implements the application – from model integration and data handling to prompt engineering. Responsible for robust, scalable, and maintainable implementations.
Creates the scalable (cloud) infrastructure for the AI system. Automates deployments with CI/CD pipelines, sets up quality checks, and handles monitoring, cost management, and availability.
Designs the user interface: intuitive designs, clear user guidance, and seamless integration into existing applications like dashboards or chatbots.
Depending on the use case and the existing team, other roles may be required.
Provides classic AI/ML models if they are part of the system.
Ensures data quality and availability – a prerequisite for any AI application.
Assists with custom back-end logic or specific integrations.
Oversees project management, stakeholder communication, and ensures that goals are met.
Our experts often fill several of these roles at once. This reduces interfaces, accelerates projects, and facilitates genuine knowledge transfer – including to your teams.
Want to know which roles your GenAI initiative needs?
We will analyze your situation and assemble the right project team.
Discuss Your Use Cases – No Obligation
Benefit from Our Experience

Why HMS? Your Advantages at a Glance

HMS is your partner for GenAI projects that deliver results. With practical experience and technical excellence, we guide companies from the initial idea to productive implementation.
30+ Productive GenAI Projects
Proven, real-world experience – we know how to make GenAI work beyond the PoC.
Solutions for Complex Enterprise Environments
Precisely tailored to your IT landscape and processes.
A Partnership for Sustainable Success
From idea to operation – we stay by your side.
Technical Excellence for Scalable Architectures
We deliver robust and maintainable systems that grow with your requirements.
Trust That Counts – Confirmed by BARC*
100%
Recommendation Rate
100%
Project Goal Achievement
96%
Value Our Tech Expertise
* according to Europe's largest independent user survey, BARC 2025
Discuss Your Use Cases – No Obligation
Learn from Practice

Our GenAI Success Stories

Learn more here about the Generative 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
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
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
Portrait von Christoph Bergen
Christoph Bergen
Team Lead GenAI

Do you want to know which GenAI use cases would have the greatest added value in your company?

Schedule a 30-minute call now for an initial use case assessment. The consultation is free, non-binding, and as practical as possible.
Schedule a No-Obligation Initial Consultation
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FAQs - Questions and answers about GenAI in companies

In a use case scouting session, we work with you to identify the greatest potential for applying generative AI in your processes. Our approach is practical and realistic.
We guide you from the use case through technical integration to sustainable adoption. Our structured roadmap ensures clarity, feasibility, and fast results.
We bring experience from more than 30 productive GenAI projects. Our strength: consulting and implementation, combined with expertise in regulated industries and complex environments.
No. We support you even without an internal AI team. With targeted expertise and the right team setup, we create a solution tailored to your organization.
Depending on the use case and level of integration, an MVP can go live within just a few weeks. For long-term solutions, we work in iterative phases – flexible yet focused.
A clean data foundation is important. We help you structure and prepare your data. We can also start with manageable subsets.
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