Why is business process management important?
BPMN model Imixs Software Solutions GmbH
The business world is under enormous competitive and cost pressure in almost all sectors. In addition, market conditions are changing rapidly. Companies that want to remain competitive must make their processes efficient, transparent and flexible. This is exactly where business process management comes in. But what are the advantages of managing workflows professionally?
Business processes make a significant contribution to the standardization and automation of workflows. Clear structures and defined responsibilities enable companies to use their resources more effectively, which significantly increases efficiency. Unnecessary work steps can be eliminated and duplicate entries avoided, which reduces the potential for errors in the processes.
The approach of combining business process management with AI is relatively new. The potential of this combination is great. BPM systems provide a wealth of structured company information that is ideal for processing by artificial intelligence. Open source language models that can be used freely are particularly interesting in this context. This means that data can be processed directly in the company without having to be transferred to servers abroad – as is the case with ChatGPT, for example.
Example: Efficient document management with generative AI
How business process management and AI can be combined in practice is best shown with an example. AI-based text recognition is ideal for automatically analyzing unstructured text data from documents. Whether reports, contracts or business correspondence: language models recognize patterns, identify key topics and even capture intentions or moods. Artificial intelligence can also support decision-making by presenting suggested solutions for specific business transactions. It can categorize documents, create summaries and also generate new texts. These capabilities accelerate business processes and reduce human errors. In addition, valuable business insights can be gained from historical data.
Business process management and AI
One company that is taking advantage of this potential is Munich-based Imixs Software Solutions GmbH. The company has developed an AI solution that integrates language models directly into business processes using the Business Process Model Notation (BPMN). BPMN makes it possible to describe business processes in a uniform manner, both professionally and technically.
When it comes to AI, Imixs relies on so-called open source language models, which allow companies to retain full data sovereignty. These models can be operated on company-owned servers as well as in secure, controlled cloud environments. This minimizes the risk of data leaks and ensures compliance with regulations such as the GDPR. In addition, open source AI models are particularly flexible and can be adapted to specific technical and security requirements.
Open source as a success factor
Office-Workflow mit Imixs
Imixs Software Solutions GmbH
Open source is part of Imixs’ DNA. The entire BPM system Imixs-Office-Workflow is based on an open source solution. This means that customers can use the software freely. Imixs also remains true to the open source approach when integrating IT solutions. Open REST APIs ensure access to business data and support seamless integration into existing IT infrastructures. Customers can run the software in a private cloud or integrate it into their own IT environment.
By supporting the BPMN 2.0 modeling standard and the low-code approach of Imixs Office Workflow, the modeling of new work processes can often be completed in just one workshop day. This significantly reduces the implementation time and development effort involved in digitizing business processes.
Business process management with AI: Application examples
With “Imixs-Business-AI” the provider combines business process management and AI. Behind it is a workflow system that enables companies to automate business processes and analyze business data more quickly with the help of modern algorithms.
Artificial intelligence takes over routine tasks, analyzes business documents, creates summaries, extracts data and asks questions to responsible employees. Examples of use cases are:
- Document management: Automatic recognition and classification of documents, integration of paper and digital documents into filing systems or workflow processes.
- Customer service: Intelligent analysis and response to customer inquiries, processing across multiple channels, forwarding complex inquiries to appropriate employees.
- Compliance: Monitoring and compliance with regulatory requirements, continuous review of documents and transactions, alerting in case of deviations.
- Human resources: Optimizing recruitment processes, analyzing applications, identifying suitable candidates, improving employee satisfaction through regular surveys and communication analyses.
- Finance: Automated accounting and financial analysis, early detection of errors and irregularities in financial documents and transactions, preparation of financial reports and forecasts of future trends.
- Procurement: Forecasting material requirements, automating supplier evaluations, processing orders more efficiently, data analysis to support supplier selection.
