Artificial Intelligence

Artificial Intelligence by INFORM

INFORM develops AI-supported systems to optimize business processes. We combine modern AI, mathematical methods and industry expertise to support complex operations. Our solutions provide clear recommendations, identify challenges early and automate routine tasks - enabling more efficient and reliable decisions.

AI-supported decision-making in complex environments

AI can help people in organizations make more informed and efficient decisions - especially where complex workflows, time pressure and operational challenges intersect. INFORM combines modern AI, advanced mathematical methods and deep industry expertise to improve decision-making and automate routine tasks.

We develop solutions tailored to the specific requirements of certain industries and applications - increasingly delivered as cloud-based offerings that provide easy access to our systems. Transparency, responsibility and the principle that people remain in control of decisions are central to our approach.

OUR TECHNOLOGY

AI and data will shape the next major transformation. For INFORM, this is an inspiration to actively define the emerging era of Process AI. This technology will work alongside people, guide operations and help organizations reach their goals more reliably. We will see adaptive AI systems that model processes digitally, learn continously and support employees in meaningful ways.

With data mining and process mining, these systems will share new insights, detect upcoming challenges early and automate decision processes where appropriate. This will enable a form of machine-supported intelligence that aligns with human capability and strengthens it. This is the future we are working toward, supporting organizations in an increasingly complex world.

EXPLORE USE CASES OF PROCESS AI

AI-powered methods for optimal initial inventory levels in Supply Chain Management

Learn how neural networks enable an initial inventory strategy in supply chain management. 

Enhancing Terminal Operations with Machine Learning

Find out how the application of machine learning (ML) enhances operational efficiency in container terminal operations. 

AI optimized demand planning for fresh produce

Revolutionizing Customer Service Efficiency with AI

Find out how large language models and process AI are setting new standards in vehicle logistics. 

Increasing On-Time Delivery and Transparency Along the Production Chain

Find out how machine learning (ML) optimizes production and process planning by improving the accuracy of forecasts for component lead times.

USING AI TO OPTIMIZE FORECASTING IN WORKFORCE PLANNING

Learn how Machine Learning (ML) improves the accuracy of staffing requirement predictions across various industries. 

Transforming Fraud Detection in Internet Banking with AI

Explore how Hybrid AI significantly improves fraud detection in the financial sector by combining advanced analytics, pattern recognition, and human expertise. 

A Proactive Approach to Managing Disruptions in Aviation with AI

Discover how Artificial Intelligence (AI) and its predictive capabilities are essential for managing and mitigating IROPS in aviation. 

PREDICTING LOADING, TRAVEL, AND UNLOADING TIMES IN READY-MIX CONCRETE DELIVERIES WITH AI

Explore how Machine Learning (ML) can help make better predictions for loading, travel, and unloading times of ready-mix trucks.

USING AI TO OPTIMIZE CONTAINER AND REUSABLE PACKAGING MANAGEMENT

Discover how AI algorithms enable dispatchers to have the right number of lift vans ready when needed, avoiding shortages and overstocking.

Dr. Jörg Herbers, CEO of INFORM
Large Language Models (LLMs) have shown us what is possible. Whereas many remain impressed by their performance, we are actually only at the beginning. AI processes will be closely interlinked with the real world in order to continuously achieve better results, also in terms of a human-centered approach.
Dr. Jörg Herbers, Co-CEO INFORM

Ethical approach to artificial intelligence

Our goal is trustworthy AI. That is why we have defined guidelines for the responsible use of AI. These are based on six central principles:

  1. Beneficial AI: Ensuring AI systems enrich both users and society, mitigating negative impacts like bias and misinformation.
  2. Human-centric AI: Promoting AI's supportive role to humans, enhancing decision-making processes, and upholding human responsibility.
  3. Aligned AI: Guaranteeing AI is in sync with human and business values, with clear and understandable AI as a foundation.
  4. Privacy-preserving AI: Upholding European Union’s GDPR standards and achieving top-tier security standards endorsed by ISO 27001 certifications.
  5. Reliable AI: Prioritizing quality, consistency, and transparency in AI applications, especially in vital sectors.
  6. Safe AI: Crafting AI algorithms that ensure safety, and ward off potential threats.
Dr. Jörg Herbers, Co-CEO INFORM, on the announcement of OUR new AI guidelines.
INFORM Asia software optimizes aviation operations with trusted AI solutions

Our Blog

A child wipes a sponge on a blackboard on which 3 + 3 = 7 is written.

Oct 29, 2025 // Hannah Kuck

Four Misconceptions About AI: Why Artificial Intelligence Is More Than ChatGPT

We clear up four common misconceptions about AI and show where it actually provides the greatest benefits in practice.

Three colorful robots discuss choices at a crossroads signpost labeled Time and Quality in a playful setting.

Sep 30, 2025 // Hannah Kuck

What is Decision Intelligence?

Decision Intelligence: AI-powered decision-making that combines data, models, and human knowledge for optimal results.

Two colorful robots juggling binary code and exchanging files in a tech-savvy workspace, showcasing modern AI interactions.

Sep 25, 2025 // Hannah Kuck

What is a Copilot?

AI co-pilots: digital assistants that support employees, simplify processes, and make decisions more efficient.

Stylized robot working at a desk with a laptop, notepad, and calendar, illustrating tech innovation and productivity.

Sep 23, 2025 // Michael Dannhauer

What is an AI Agent?

AI agents: digital assistants that plan tasks, use tools, and automate processes—proactively and with the ability to learn.

Three colorful robots holding building blocks labeled language, data, vision, and audio against a blue background.

Sep 18, 2025 // Sina Schäfer

What are Foundation Models?

Foundation models are powerful AI models that have been pre-trained on extensive datasets and can be flexibly applied to a wide range of tasks and application areas.

Colorful robots exchanging binary code in a digital network with glowing blue connections and a dark background.

Sep 11, 2025 // Sina Schäfer

What is a Neural Network?

Neural networks: adaptive models that recognize patterns, enable predictions, and drive AI applications.

Two colorful robots at a machine, creating text, words, and phrases from paper in a playful, creative scene.

Sep 11, 2025 // Hannah Kuck

What is a Large Language Model?

Large Language Models: AI systems that understand language, generate text, and open up new efficiency potential for companies.

Colorful robot with a magnifying glass meets a holographic version of itself in a vibrant blue background.

Sep 9, 2025 // Mario Bock

Digital Twin: Definition, Applications, and Advantages

“The digital twin: Virtual representation of real systems for real-time monitoring, optimization, and innovative simulations.

Two cute robots discussing programming concepts with a flowchart on a monitor. One has a magnifying glass.

Sep 4, 2025 // Mario Bock

What is Process Mining?

Process mining makes processes visible: analyze data traces, identify weaknesses, and improve processes efficiently.

wo cartoon robots working at a construction site, one digging while the other transports blocks of data in a wheelbarrow.

Sep 2, 2025 // Mario Bock

Data Mining - Definition, How It Works and Examples

Data mining uncovers hidden patterns in data—for better forecasts, informed decisions, and competitive advantages.

Two colorful robots discussing mathematical concepts on a chalkboard in a futuristic classroom setting.

Aug 28, 2025 // Michael Dannhauer

What is Operations Research?

Operations Research: Mathematical optimization for complex decisions – from logistics to finance.

Whimsical robot reading a book while perched on colorful stacked books against a soft blue background.

Aug 26, 2025 // Hannah Kuck

What is Machine Learning?

Machine learning: From data to predictions – how algorithms learn, recognize patterns, and support decision-making.

Close-up of a microchip featuring the European Union flag, symbolizing innovation in technology and EU digital strategy.

Jun 13, 2025 // Dr. Jörg Herbers

AI Made in Europe: Time for Technological Self-Assertion

Europe is at a turning point in the development of AI. Learn why it's time to act with technological substance and strategic determination.

brate success in a modern warehouse with digital elements and tablets in hand.

Jun 2, 2025 // Hannah Kuck

On the shoulders of giants: How science and industry are working together to drive AI innovation

Lessons learned from the RWTH Industry AIxChange Event 2025

Humans and AI

Apr 23, 2025 // Mario Bock

Before We Reach AGI: The Real AI Revolution Is Already Happening

How AI is gradually becoming AGI – and what fascinating technologies await us before we get there

Humans and AI working hand in hand

Mar 19, 2025 // Hannah Kuck

Agentic AI: The Future of Human-Machine Collaboration

How Large Language Models Enable the Next Milestone in Digital Transformation

Conversational co-pilot AI robot with speech bubble

Feb 21, 2025 // Andreas Fuhrich

Co-pilots: The next era of human-machine collaboration

While classic chatbots are usually restricted to predefined scripts and limited use cases and quickly reach their limits when using language naturally, co-pilots can respond flexibly to a wide range of requests. 

Woman with Smartphone talk with Chatbot

Feb 13, 2025 // Hannah Kuck

From Decision Intelligence to Agentic AI: How AI Will Shape the Business World in 2025

2025 will be the year when the integration of artificial intelligence (AI) into business processes becomes the decisive factor for corporate success.

AI in initial stockpiling: Deliverable & efficient despite a lack of experience

Oct 22, 2024 // Dr. rer. nat. Christian Mießen

AI in initial stockpiling: Deliverable & efficient despite a lack of experience

When introducing new products, you lack both experience and a sound data basis in terms of expected sales. In our blog, you can find out how you can still achieve efficient initial stockpiling that enables you to deliver.

The EU AI Act: A major economic and legal experiment

Feb 27, 2024 // Dr. Jörg Herbers

The EU AI Act: Running an Experiment at Scale

Dr. Jörg Herbers, CEO of INFORM, assesses the current legal text and its significance for society and the economy:

AI for Business Process Optimization

What technologies are available? How do we use them? Learn more in our glossary!

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