Künstliche Intelligenz in der Praxis | KI-Anwendungsfälle für Unternehmen

Artificial Intelligence in Practice

The ISO-Gruppe has been using artificial intelligence in various business areas and client projects for many years. Depending on the requirements, they employ different technologies ranging from generative and cognitive AI to agentic AI solutions.

Applications include the automation of recurring processes, intelligent assistance systems, data-driven forecasts, and decision support. The specific technology used depends on technical requirements, as well as guidelines regarding data sovereignty, security, and traceability.

The following examples illustrate typical use cases from various industries and application areas.

Implemented Use Cases

Here is a selection of typical use cases from our client projects.

A robotic and human hand at a keyboard with a security lock overlay represents an autonomous security operations center. It fits topics like AI in cybersecurity, automated alert triage, SOAR playbooks, and faster incident response for enterprise environments.

Autonomous SOC

When a SIEM/XDR reports a security incident, authorized actions are assessed, escalated, and implemented fully automatically and are fully documented and available around the clock.

Generative AI
Cognitive AI

A digital interface with user and lock symbols represents automated compliance checks and controlled access. It fits topics like AI-driven governance, identity and access management, audit trails, and continuous compliance in regulated enterprise IT.

Compliance Automation

Compliance data is automatically collected from existing systems, consolidated, analyzed, and presented in the form of dashboards tailored to specific user groups. What used to require weeks of manual preparation before each audit is now available in real time.

Cognitive AI

A digital checkmark and process icons represent internal controls, ownership, and managed policies. It fits content on control matrices, policy management, GRC platforms, audit readiness, and standardized compliance processes.

Control Matrix — Policy Management

New regulations are automatically compared to the set of guidelines. Gaps are identified and proposed changes are generated. Once approved, these changes are implemented directly into the ISMS.

Generative AI
Cognitive AI

A clinician reviews a digital diagnostic display with body and scan visuals, representing AI in medical imaging analysis. It fits topics like tumor detection, radiology workflows, clinical decision support, and machine learning for image-based diagnostics.

Tumor Detection

Pattern recognition in large image databases to identify signs of potential tumors. This can lead to earlier diagnoses and improved treatment outcomes.

Machine Learning

A clinician uses a smartphone with a chatbot overlay designed for symptom questions and initial patient input. It fits content on AI-assisted intake, telehealth triage, symptom checkers, and streamlining patient onboarding in healthcare.

Medical History Chatbot

Structured collection of patient data prior to the doctor's appointment. The chatbot requests relevant information and facilitates the submission of necessary documents, thereby reducing the workload at the reception desk.

Generative AI

Radar-style flight tracks highlight operational visibility across gates, slots, and ground handling. It’s well suited for content on airport resource management, AI-driven dispatch, turnaround optimization, and real-time decision support in aviation operations.

Airport Resource Management

The aircraft are allocated to parking positions in the most efficient way possible, and the resources needed for this process are also taken into account. Based on aircraft type, contract scope, and available resources, the solution suggests suitable alternatives to dispatchers.

Machine Learning

Document and checklist overlays represent record matching, validation, and consolidating data into a trusted master. It supports content on MDM, duplicate detection, data quality, matching algorithms, and AI-driven enrichment for CRM and ERP systems.

Duplicate Detection and Master Data Enrichment

Enhance existing product components with LLM technology for duplicate detection and master data enrichment. The goal is to improve evaluation of complex cases and achieve higher data quality precision.

Generative AI
Cognitive AI

Coding Assistant

AI-powered support for software development integrates with familiar environments, such as JetBrains. Significant progress has been made, especially in unit testing and system documentation.

Generative AI

Invoice Processing

Automatically capture, verify, and post invoices based on rules. This is suitable for recurring workflows in which information from documents is processed and transferred to defined process steps.

Cognitive AI

A digital AI overlay with a globe and service icons represents automated trip planning from search to booking. It fits topics like travel management, personalized recommendations, booking automation, and self-service assistants for business travel.

Travel Booking Assistant

Smart assistance for searching, booking, and managing trips. The assistant guides users through each step of the process, providing relevant information along the way.

Agentic AI

Luminous digital brain with integrated circuits on a dark background – symbolizing artificial intelligence, neural networks, and machine learning.

Knowledge Assistant

Answers to questions and access to knowledge and information are available at any time. This makes content more accessible and allows it to be presented in a structured way to different user groups.

Generative AI
Machine Learning

An AI interface overlay suggests data-driven pricing decisions and automated forecasts for revenue management. It fits topics like dynamic pricing, demand forecasting, occupancy optimization, margin control, and real-time analytics in retail and services.

Yield Management

Optimizing prices and availability to maximize revenue. This solution helps make sales decisions based on booking status, the amount of time remaining until the trip, weather, and political information.

Machine Learning

A human hand and a robotic hand connect at a “spark” moment, symbolizing automated onboarding journeys. It fits topics like AI-driven workflows, user activation, self-service onboarding, account provisioning, and scalable onboarding processes in B2B environments.

Automate Onboarding

Efficiently create new employees, set up accounts, and initiate processes. This enables recurring HR, IT, and administrative processes to be carried out in a structured, rule-based manner.

Cognitive AI

An AI overlay across a tablet and laptop represents automated analysis of documents, forms, and file content. It fits topics like intelligent document processing (IDP), OCR extraction, NLP-based classification, and workflow automation in ECM, ERP, and DMS environments.

Document Analysis

Analyze documents, extract their content, and present it in a structured format. This makes the information in documents, specifications, and project notes easier to use for subsequent tasks.

Generative AI

Warning icons over a smartphone and laptop represent suspicious activity and automated alerts in digital workflows. It fits topics like fraud detection, anomaly detection, transaction monitoring, risk scoring, and fraud prevention in finance and ecommerce.

Fraud Detection

Identify anomalies in applications and processes to minimize risk. This use case helps you identify signs of potential fraud early on and prepare for decision-making.

Machine Learning
Cognitive AI

What Would You Like to Accomplish?

The examples shown here are just a few of our many AI projects. If you don't see your specific use case listed, we'll work with you to determine the best AI technology for your task, data, and security requirements.