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GenAI Consulting: Assess Your Use Case Before You Invest

Are you planning a specific use case for generative AI and need clarity on benefits, data, system architecture, or integration? HMS assesses your GenAI use case from both a business and technical perspective. You’ll receive a well-reasoned recommendation for the next step.

  • Realistic assessment of business and technical feasibility
  • Assessment of relevant data, systems, risks, and implementation potential
  • Recommendation for further exploration, a proof of concept, or implementation

Start with a 15-minute initial consultation.

Assess Your GenAI Use Case

Feedback within 1 to 2 business days. Limited consulting slots available.

From GenAI Prototype to a Sound Decision

A GenAI prototype can often be created quickly. Whether it develops into an application that actually works in the company depends on other factors:

  • Is the use case a relevant business problem?
  • Is the required data available and usable?
  • How does the solution integrate with processes, access permissions, and existing systems?
  • What are the requirements for quality, governance, and operations?

Our GenAI consulting is designed for companies that want to assess a specific use case before making an investment, integration, or implementation decision. It provides an initial basis for decision-making before a model, platform, or project scope has been defined.

GenAI Consulting Backed by Real-World Implementation Experience

Your assessment is conducted by a team that supports data and AI applications from initial evaluation through integration into production environments.

450+

Data & AI projects completed

100+

Enterprise customers served

100%

Customer Satisfaction & Recommendation*

The Offering

What the GenAI Use Case Assessment Includes

This free consultation focuses on a specific GenAI use case. We discuss your objectives, the business context, and the current status of your initiative. We then map out relevant data, systems, interfaces, and security and operational requirements. The session typically lasts 45 to 60 minutes, including a brief follow-up.

General AI training, tool demonstrations, or the development of a complete technical and architectural concept are not included. If your project requires more in-depth analysis, we will recommend a suitable follow-up format based on the initial assessment.

What You Will Know After the Consultation

  • whether the GenAI use case makes business sense and appears technically feasible
  • which data, systems, processes, and permissions are relevant
  • which risks and governance requirements should be considered early on
  • whether further analysis, a GenAI proof of concept, or an implementation project is appropriate

Get a Free Assessment of Your GenAI Use Case

Typical GenAI Use Cases

Which Use Cases Can We Assess?

GenAI consulting focuses on a specific use case and its business and technical context. The following examples illustrate typical questions that can be addressed in the free initial assessment.

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Making Corporate Knowledge Accessible

Generative AI can make information from internal knowledge bases discoverable and provide it in a context-appropriate manner.

Examples:

  • Answering questions based on internal guidelines and manuals
  • Searching for relevant passages in technical documentation
  • Role-based provision of information to various departments
Read more

Querying Data Using Natural Language

LLM-based applications can translate naturally phrased questions into data queries and present the results in an understandable way.

Examples:

  • Querying key metrics without any SQL knowledge
  • Answering technical questions based on approved company data
  • Explaining analysis results directly in a chat interface
Read more

Supporting Workflows with AI Agents

AI agents can coordinate defined tasks across multiple systems and process steps.

Examples:

  • Consolidating information from various shared sources
  • Preparing recurring analyses and reports
  • Suggestions for next steps based on defined rules
Read more

Processing Texts and Documents

GenAI can capture unstructured content, organize it, and prepare it for further processing.

Examples:

  • Classification of incoming documents by content and document type
  • Extraction of relevant information from reports, applications, or minutes
  • Summarizing lengthy documents for technical review
     

Why Companies Trust HMS for Data and AI Projects

Customers value HMS for its business clarity, reliable collaboration, and a realistic perspective on implementation and operations.

HMS not only understood our use case from a business perspective but also assessed it realistically from a technical standpoint. Their clear assessment of which data, interfaces, and next steps are relevant for a viable implementation was particularly helpful.

Here's how the initial assessment works

In a brief conversation, we’ll clarify where your project stands, what questions remain, and what the next logical step is.

Inquiry and Preliminary Review

You submit your AI use case using the form. HMS will review whether the use case is sufficiently specific and fits the consulting format.

Initial Consultation and Goal Setting

In 15 minutes, we'll clarify your objectives, the business context, the processes involved, and the current status of your project.

In-Depth Analysis (30 minutes)

If the initial conditions are suitable, our GenAI experts delve deeper into the relevant questions regarding data, architecture, integration, and operations.

Recommendation on Next Steps

You will receive a brief summary and a well-reasoned recommendation for further exploration, a proof of concept, or implementation.

Real-World Examples

Generative and Agentic AI in Corporate Settings

The following HMS projects demonstrate how GenAI and agentic AI applications can be used for various business tasks. To achieve this, HMS combines AI engineering, software engineering, and architectural work, and integrates the solutions into existing data, process, and system landscapes.

Automated Market and Competitive Analysis with Agentic AI
Automated Market and Competitive Analysis with Agentic AI
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Automated Market and Competitive Analysis with Agentic AI

HMS developed an Agentic AI solution for a global pharmaceutical company that automatically collects and reviews market and competitive intelligence and makes it available for reports and ad hoc queries.

Read more
Agentic AI GPT Models LangChain Langfuse Palantir Foundry Qdrant
Enterprise Search with AI for Complex Research Queries
Enterprise Search with AI for Complex Research Queries
#industry

Enterprise Search with AI for Complex Research Queries

HMS developed a RAG-based chatbot for a global chemical company. The system handles complex research queries in natural language and delivers traceable answers with source citations.

Read more
GPT Models LangChain GraphQL
Identify Pharmaceutical Trends Earlier with AI-Powered News Analysis
Identify Pharmaceutical Trends Earlier with AI-Powered News Analysis
#lifesciences

Identify Pharmaceutical Trends Earlier with AI-Powered News Analysis

HMS developed a platform for an international pharmaceutical company that analyses news, clusters topics, and highlights emerging developments. This gives business teams a stronger basis for market monitoring and regular updates.

Read more
Generative AI Machine Learning OpenAI Models & APIs Amazon DynamoDB Amazon RDS Amazon S3 AWS Lambda AWS Step Functions Python React

Why HMS

GenAI Consulting with a Focus on Integration and Operations

We evaluate GenAI use cases within their business and technical contexts. Data access, interfaces, permissions, governance, and operations are factored into the assessment from the outset. As a 100% independent company, we recommend technologies based on the requirements of each specific project.

What HMS brings to the evaluation:

  • Experience ranging from use case selection to the production deployment of GenAI
  • AI and software engineering for integration into existing system landscapes
  • Early consideration of security, governance, and operational requirements
  • Practical experience with RAG architectures, agent-based systems, and integrated workflows

FAQ

Frequently Asked Questions About Use Case Evaluation

Answers to key questions about our free service.

For companies with a specific GenAI use case that needs to be evaluated from a business and technical perspective before making an investment, integration, or implementation decision. For general introductions, training sessions, or simple tool demos, a different format is more appropriate.

An initial description of the desired outcome and the process in question is sufficient for the preliminary review. Information about the available data, the systems involved, and pending decisions is also helpful.

No. GenAI consulting can take place before a technology decision is made. We assess the requirements and overall conditions before considering suitable models, RAG architectures, or platforms. Only then do we evaluate which models, platforms, and technical approaches are appropriate.

We incorporate relevant requirements regarding data protection, traceability, roles, permissions, and operations into our assessment at an early stage. In regulated environments, we we include the relevant audit and documentation requirements in our recommended next steps.

Yes. HMS supports GenAI projects from use case selection through architecture and development through integration and validation to production deployment and operation. The initial assessment determines the best next step for your project.

Free of charge and with no obligation

Have your GenAI use case classified

Christoph Bergen
Christoph Bergen
CoE Lead GenAI

Please bring your specific use case with you. During a no-obligation initial consultation, we’ll determine whether the free assessment is a good fit for your needs.

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Additional Services

Data Science & Machine Learning

Develop data-driven models that identify patterns, enable predictions, and support decision-making.

Learn more about data science and machine learning

Generative & Agentic AI

Develop AI applications and agentic workflows that integrate into operational business processes.

Learn more about Generative & Agentic AI