Intelligent process automation with AI
Concrete solutions for real challenges
Many companies today are under pressure to make their processes more efficient, deploy resources in a targeted manner and remain competitive at the same time. Traditional, manual workflows quickly reach their limits - especially in times of increasing digitalization and data complexity.
abat AG offers practical solutions in the field of intelligent process automation with artificial intelligence (AI).
Our application examples show how companies can not only increase their productivity through the targeted use of AI and automation technologies, but also measurably improve the quality and speed of their processes.
Discover six concrete use cases from practice - from automated document processing to AI-supported stocktaking.
Automated document processing with AI and RPA
The problem:
The manual filing and allocation of business documents in the ERP system costs time and ties up specialist staff. Errors creep in and the overview is quickly lost.
Our solution:
We use AI and RPA to automate the capture, verification and assignment of documents - for greater efficiency, accuracy and transparency.
Chatbot for internal documentation
The problem:
Knowledge is available - but often difficult to find. Long search times and fragmented sources of information hinder productive work and delay decisions.
Our solution:
An AI-supported chatbot provides relevant answers from your internal databases in a matter of seconds - secure, comprehensible and available at all times.
Document verification with AI agents
The problem:
Contracts and certificates have to be checked and compared regularly - a time-consuming, error-prone process that ties up resources.
Our solution:
Our AI agents automatically compare documents, highlight relevant changes and thus facilitate control and maintenance.
Forecasting with AI
The problem:
Reliable forecasts are essential - but traditional forecasting methods quickly reach their limits in dynamic markets.
Our solution:
AI-based models analyze extensive data sources and deliver reliable predictions that react flexibly to changes.
AI in goods receipt
The problem:
Counting and inspection processes for incoming goods are error-prone, slow and often overloaded with personnel - with consequences for the warehouse and production.
Our solution:
We use AI and image processing to automate the recognition and inspection of incoming goods - in real time and integrated into the system.
Automated inventory with AI
The problem:
Traditional stocktaking is time-consuming, expensive and has a high error rate - especially for external warehouses or large areas.
Our solution:
Autonomous drone flights and AI-supported object recognition make stocktaking fast, safe and precise - with minimal personnel costs.
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