For those in a hurry
- Increase efficiency, reduce costs: How intelligent automation with AI saves up to 80% of manual working time.
- From RPA to NLP: Learn how cutting-edge technologies are revolutionizing everyday business processes.
- Concrete and practical: Examples of automated order processing, customer service, and cost reduction.
- A look into the future: What potential does intelligent automation offer your company – today and tomorrow?
In times of rising manufacturing and operating costs, increasing competitive pressure, and gloomy outlooks for the near future, companies are looking for ways to make their processes more efficient and cost-effective. Intelligent automation with the help of Artificial Intelligence (AI) has long been more than just a trend – it is proving to be a true game changer for reducing labor costs, especially in administration.
By automating repetitive tasks and optimizing complex business processes, AI enables significant cost savings and lays the foundation for long-term corporate success. In this article, we will show you concrete examples of how intelligent automation solutions can revolutionize your core processes.
What does intelligent automation mean?
Intelligent automation (also known as hyperautomation) refers to the use of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), Robotic Process Automation (RPA), and Natural Language Processing (NLP) to make business processes more efficient, flexible, and autonomous. It is not just about the pure automation of manual, repetitive activities, but also about the ability of systems to learn independently, make decisions, and adapt to new conditions.
Automated order entry: From the inbox to the ERP system
Processing orders is one of the most time-consuming and resource-intensive tasks in many companies. Employees often manually check emails, record order data, and transfer it into various systems. This is not only tedious and expensive, but also carries a high risk of errors. This is where intelligent automation comes in: with modern AI-supported technologies, the classic ordering process is revolutionized.
Through the use of intelligent technologies, the entire workflow from the incoming email to processing in the ERP system is seamlessly automated:
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Intelligent Document Processing (OCR+): Using advanced optical character recognition technologies, relevant information such as order numbers, quantities, or delivery addresses is extracted directly from incoming emails and documents – with a precision that approaches nearly 100 percent.
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Natural Language Processing (NLP): Natural language processing makes it possible to understand the context and structure of orders. This technology automatically captures the details in inquiries or orders, recognizes specific requirements, and ensures that the right steps are initiated.
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Robotic Process Automation (RPA) and Intelligent Process Automation (iPaaS): RPA or iPaaS takes over the transfer of extracted data into the ERP system. These platforms act like virtual employees that process data quickly and error-free – regardless of the complexity of the system.
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Machine Learning Algorithms: Through machine learning, systems adapt continuously. Corrections and new data are used to continuously improve processing accuracy.
The result of this intelligent automation is impressive: the manual effort for data entry is reduced by up to 80%, error rates drop drastically, and the ordering process is accelerated from several hours to just a few minutes.
AI in customer service: Intelligent automation through AI Agents
AI-based solutions can also provide significant relief in customer service. In this often resource-intensive area, intelligent assistants (AI agents) take over routine inquiries, ensuring your team is unburdened and can focus on more complex requests.
Practical examples of use:
- Chatbots with 24/7 availability: Answer standard questions around the clock and reduce waiting times.
- Automated document processing: Optimizes the search and assignment of important documents such as invoices.
- Intelligent ticket systems: Recognize priorities and route inquiries to the right contact persons.
- Predictive Analytics: Identify potential customer problems in advance and enable proactive action.
The numbers speak for themselves: up to 60% of all routine inquiries can be processed automatically thanks to AI technology. The result? More efficient service, happier customers, and unburdened employees.
Facts and figures on cost reduction through AI
In a 2023 Statista study, the effects of Artificial Intelligence on cost reduction were analyzed in eight different business areas. Industries such as manufacturing, service operations, and marketing and sales proved to be particularly profitable when adopting intelligent automation.
Cost savings after intelligent automation:
- 4% of companies: Cost reduction of at least 20%
- 28% of companies: Savings of up to 10%
- 10% of companies: Reduction of 10–19%
These results are consistent with findings from a McKinsey report and underscore the immense potential of AI to sustainably reduce costs in companies.
What does the future of intelligent automation look like?
The future of intelligent automation promises further progress and innovation. We can expect IA systems to become even more intelligent and autonomous, with improved capabilities for self-optimization and adaptation to new situations. The integration of advanced AI technologies will further improve decision-making and problem-solving. In addition, collaboration between humans and machines will intensify, with IA systems acting as intelligent assistants. Automation will expand into increasingly complex business processes, helping to make companies more agile and competitive.
Conclusion: Intelligent automation as a strategic success factor
Integrating AI into your core processes is no longer a vision of the future, but an economic necessity. The examples show: the technology is mature and the potential savings through intelligent automation solutions are significant. Crucial for success are:
- A clear strategy for AI integration
- The selection of the right use cases with measurable ROI
- Step-by-step implementation with quick wins
- The involvement and training of employees
Companies that invest in AI-supported process optimization now gain a sustainable competitive advantage. The question is no longer if, but how you will use AI in your company.
Frequently Asked Questions
What is Robotic Process Automation (RPA) and how does it differ from intelligent automation (IA)?
Robotic Process Automation (RPA) is a technology that focuses on automating rule-based, repetitive tasks. Intelligent automation (IA) goes a step further by combining RPA with artificial intelligence, machine learning, and cognitive technologies. IA can handle more complex processes and even make decisions, whereas RPA is limited to simpler, structured tasks.
What benefits does intelligent automation offer companies?
The benefits of intelligent automation are numerous. They include increased efficiency through the automation of tasks, improved accuracy and consistency in processes, cost savings through the reduction of manual work, increased scalability of business operations, improved compliance through standardized processes, and the ability to free employees from repetitive tasks.
In which industries is intelligent automation used?
Intelligent automation is used in many industries. In healthcare, it is used for automating patient records and supporting diagnostics. In the financial sector, it helps with fraud detection and the automation of compliance processes. In manufacturing, it optimizes production workflows. IA solutions are also increasingly being used in areas such as retail, logistics, and customer service.
How can companies use intelligent automation?
Companies can use intelligent automation by first analyzing their processes to identify automation potential. Subsequently, they can implement IA tools and platforms to automate repetitive tasks and optimize more complex workflows. Through the gradual introduction and scaling of IA solutions, companies can effectively improve their process automation.
What role does cognitive automation play in intelligent automation?
Cognitive automation is an essential component of intelligent automation. It enables systems to mimic human-like thought processes, process complex information, and make intelligent decisions. By using technologies such as Natural Language Processing and Machine Learning, cognitive automation can understand unstructured data, recognize patterns, and learn from experience.
