Arrange a consultation
|
Beratung vereinbaren
From Automation to Autonomy

Agentic AI: The Next Logical Step in AI Evolution

Agentic AI makes AI systems autonomous and adaptive. HMS brings this technology into practice – with clear use cases and scalable implementations.
Agentic AI services – person working on laptop with visualized AI brain and circuit patterns

Why Agentic AI Creates New Scopes of Action

Do you want to solve complex tasks with AI that go far beyond automation? Do you want to map your business processes using collaborative agents or have existing AI systems communicate with each other? Agentic AI makes this possible!
Agentic AI represents the shift from predefined processes to AI systems that pursue goals, make decisions, and take action. Instead of solving individual tasks in isolation, specialized agents in agentic systems interact with each other, exchange information, and adapt their behavior to achieve a set goal. This creates new scopes of action.
HMS helps companies harness this potential in a targeted manner – with well-conceived use cases, broad experience, and production-ready implementations.
Already familiar with Agentic AI?
Go Directly to the HMS Offering

What Agentic AI Is and How It Enables Systems to Act

Agentic AI is more than a technical concept – it describes a principle that allows for the modeling of complex processes. Previous (generative) AI systems had to be given a predefined sequence – such as read data, process data, output result. While astonishing results can be achieved this way, the systems encounter limits.
Agentic AI addresses this limitation by using one or more specialized AI agents, each capable of independently making decisions, taking measures, and adapting to changing conditions. The interplay of these agents creates systems capable of action.

What does Agentic AI mean?
To achieve this goal, an agent possesses fundamental capabilities that combine perception, decision-making, action, and adaptation:

  • Perceive: Take in information from its environment (e.g., via data, APIs, user interactions).

  • Decide: Interpret this information and make decisions based on rules, models, or learning processes.

  • Act: Carry out concrete actions – e.g., control systems, process data, or initiate processes.

  • Learn and Adapt: Learn from experience and continuously optimize its behavior.

Unlike classic software solutions and AI systems, an agent operates in a goal-oriented, reactive, proactive, and often autonomous manner in service of an overarching strategy.
Typically, one or more LLMs are used as the decision-making and orchestration engine – they control the agent's behavior and enable interaction with tools, APIs, and data sources.

The Five Principles of Agentic Systems

Agentic AI does not follow a rigid sequence. Instead, agents act according to principles that center on autonomy, cooperation, and goal-orientation. The following five characteristics describe what Agentic AI is at its core.

Autonomous Decisions

Agents analyze information, assess situations, and make their own decisions. Control is context-sensitive and occurs in real time.

Adaptive Behavior

Agents adapt to new data, events, or framework conditions. Without manual intervention.

Scalability

Recurring tasks and processes are intelligently automated and can be efficiently transferred to new application areas.

Cross-System Integration

Agents communicate with tools, APIs, and platforms, even across existing system boundaries. This creates end-to-end, coordinated processes.

A Leap in Innovation for Efficiency & Quality

Agentic AI intelligently links process steps – from data collection to decision-making – thus unlocking new automation potential.
Do you want to solve complex tasks with AI agents that go far beyond automation? Do you want to map your business processes using collaborative agents or have existing AI systems communicate with each other?
Agentic AI makes this possible – and HMS shows how to turn it into productive solutions.

Want to know how Agentic AI works in practice?

We are already implementing Agentic AI productively – from the further development of existing GenAI projects to the design of complete agentic systems.
With experience from over 4,000 project-days and 30+ productive implementations, we know which concepts work in practice and how to create measurable added value.
Our experts ensure that technology, architecture, and business value align.
4.000+
GenAI and Agentic Project Experience
30+
GenAI and Agentic 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 Agentic AI from concept to implementation.

From Use Case to Productive Solution

Many companies have already implemented initial GenAI solutions, often for clearly defined tasks. Agentic AI opens up the possibility of designing entire process chains more intelligently and efficiently.
To succeed, this requires more than just a model. A clear use case, suitable system logic, and a clean integration are crucial. HMS guides you along this path:
Schritt 1
Identifying Potential
We analyze processes, systems, and existing GenAI applications – and examine where Agentic AI can meaningfully connect or supplement.
Schritt 2
Designing System Logic
We define roles, data flows, and interfaces. In doing so, we consider both technical and business framework conditions.
Schritt 3
Realizing the Solution
We perform the technical implementation of the agent architecture –including orchestration, integration, and production-level validation.
Schritt 4
Securing Operation and Further Development
We support the transition to live use—with monitoring, scaling, and continuous optimization during operation.
Already using GenAI? We show you how to turn it into Agentic AI with measurable added value.
30 Minutes on Agentic AI
Let's explore together what opportunities Agentic AI opens up for 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 an Agentic AI Call
Name
Information on data processing can be found in our Privacy Policy.
Preferred appointment date (optional)
Please note that we require at least one week’s notice for scheduling appointments to avoid overlaps. We will confirm your requested appointment within 24 hours. Unfortunately, we are unable to accommodate next-day appointments.
=

Typical Application Areas for Agentic AI

Agentic AI becomes relevant wherever decisions need to be automated, processes controlled, or systems intelligently linked. The following application areas show how versatilely agent-based systems can be used in practice – often as an evolution of existing GenAI or automation solutions.

  • Data Enrichment and Validation

    Agents analyze content, check for completeness, assess relevance, and independently initiate the next step.

  • Supply Chain Coordination

    Agents reconcile data from various systems, detect delays early, and independently initiate alternatives.

  • Service and Application Processing

    Agents analyze inquiries, evaluate them based on context, and route them to the appropriate systems or people.

  • Complex Research

    Agents coordinate multi-step research projects. All steps are handled, from finding documents and checking relevance to generating results.

  • Process Orchestration in Complex Workflows

    Agents control processes between systems, detect deviations, and react autonomously – e.g., by replanning or notifying a human.
Let’s talk about where we can specifically drive your business forward.
Schedule an Agentic AI Call

Roles in an Agentic AI Project

The success of such systems depends significantly on the collaboration of various business, technology, and implementation competencies. A clearly defined role structure provides orientation, reduces friction, and enables effective knowledge transfer.
Core Roles in GenAI Projects
Supplementary Roles –Depending on the Project Situation
These roles form the backbone of agent-based systems – from architecture and implementation to user-centered integration:
Designs the overall architecture of the system – with a focus on modularity, integration, and scalability.
Implements the agent logic, data and tool connections, and control mechanisms.
Responsible for infrastructure, monitoring, security, and operation – especially for automated, agent-driven systems.
Designs interfaces and interaction points – when agents are embedded in user-facing systems.
Depending on the use case and existing team structure, other roles are involved:
Develops and trains ML models, if these are part of the agent logic or decision-making.
Ensures data availability and quality. Lays the technical foundation for every data-based application.
Handles the development of custom back-end logic or specific integration components.
Coordinates the interdisciplinary team and ensures that technical implementation and business value converge.
Whether as a complete implementation team or as specialized support: HMS ensures the right competencies are available – precisely tailored to the project goal, complexity, and existing structures.
Our experts often fill several of these roles at once in many projects. This reduces interfaces, accelerates implementation, and promotes genuine knowledge transfer –including into your organization.
Want to know which roles your Agentic AI initiative needs?
We will analyze your situation and assemble the right project team.
Schedule an Agentic AI Call
Benefit from Our Experience

Your Partner for Agent-Based AI Solutions

Agentic AI is not a standard product – it requires expertise, contextual understanding, and a clear commitment to quality. HMS develops agent-based systems that are traceable, connectable, and productively deployable.
30+ Productive GenAI Projects
Proven, real-world experience – we know how to make Agentic AI work beyond the prototype.
Solutions for Complex Enterprise Environments
Precisely tailored to your system landscape, processes, and data flows – across system boundaries.
A Partnership for Sustainable Success
From requirements analysis to operation – we take a holistic view of agent-based solutions.
Technical Excellence for Scalable Architectures
We deliver robust and maintainable systems that can be flexibly evolved.
HMS is a leading provider of Data & Analytics Services
100%
Recommendation Rate
100%
Project Goal Achievement
96%
Value Our Tech Expertise
* according to Europe's largest independent user survey, BARC 2025
Schedule an Agentic AI Call
Schedule an Agentic AI Call

Our Agentic AI Success Stories

Our Agentic AI Success Stories
Visualisierung einer vernetzten Datenstruktur über einer Person, die auf einem Laptop arbeitet – Symbol für automatisierte Datenintegration und digitale CRM-Prozesse.

Smarter Market and Competitive Analysis Powered by Agentic AI

HMS developed an LLM-powered platform that automates market and competitive analysis, delivering real-time insights for faster, data-driven decisions.

Customer benefits:

  • Analyses in minutes instead of days

  • Verified data sources for high-quality results

  • Ad-hoc queries and automated reports

Case Study anschauen

Context-Aware Chatbot: Dynamic Document Search with Agentic AI

HMS develops context-sensitive document search with Agentic AI for precise, secure, and role-based answers.

Benefits:

  • Targeted information delivery through context-aware responses with maximum relevance

  • Faster workflows thanks to reduced search effort with personalized agents

  • Seamless scalability easily extendable to teams and locations

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

FAQs—Questions and Answers about Agentic AI in Business

An agent is an intelligent, software-based system that acts autonomously in a specific environment to achieve defined goals – whereas classic (generative AI) systems are given a static solution path.
Agentic AI opens up new possibilities for companies to design complex processes more intelligently, interconnectedly, and purposefully.
  • More complex tasks: Agents solve more complex tasks rather than just individual ones.
  • Interoperability and integration of process chains: Planning, coordinating, and executing tasks across different systems or processes.
  • Cooperation: Collaboration between multiple agents, coordination, and division of tasks.
  • Better decision quality: Combining data from various sources and validating results themselves.
  • Boost in innovation and speed: Promoting more agile workflows (collaboration with a digital colleague) and accelerating processes within the company.
While classic (generative AI) systems are given a static solution path for a predefined task, Agentic AI systems are given a goal, which they autonomously break down into sub-tasks, plan, and pursue independently using suitable tools and feedback.

Agentic AI systems combine various technologies:

  • Integration of an LLM-supported retrieval system into existing search infrastructure
  • Dynamic answering of complex research questions with validated document excerpts
  • Use of Generative AI as a strategic tool in chemical research
  • LLMs as a decision-making and communication component
  • Programming frameworks for the definition and coordination of multiple agents
  • APIs for system integration and for exchange between components
  • Monitoring and feedback systems for run-time optimization

As a rule, we build on cloud-capable, modular architectures that can be integrated into existing IT landscapes.

That depends on the use case. Often, a single agent with a clear role is sufficient. In more complex processes, multiple agents work together, dividing tasks—for example, to process inputs, coordinate decisions, or communicate with systems.
Initial prototypes can often be realized within a few weeks. Productive solutions require a stable implementation, often a data basis, clear goal definitions, and coordinated integrations – typically starting from 6–12 weeks, depending on complexity.
Yes. Our solutions are designed to integrate with existing processes, systems, and data sources – not replace them. Standardized interfaces (APIs) ensure that the agents operate in a controlled and traceable manner.
Portrait von Christoph Bergen
Christoph Bergen
Team Lead GenAI

Questions about Agentic AI or our services?

We look forward to hearing from you and will be delighted to answer all your questions personally.
Get in Touch with Us
Name
Information on data processing can be found in our Privacy Policy. Privacy Policy.
=
© 2024 – 2025 HMS Analytical Software
chevron-down