AllEyesOnAutomation
- Han Gerrits

- Dec 5, 2024
- 1 min read

The AllEyesOnAutomation seminar, organised by hyperautomation consultancy Roboyo, took place in Berlin, featuring presentations from companies that use AI applications in their daily operations. Several interesting examples were shared:
• Permira Investment Fund utilizes AI to analyze potential investments. They have implemented a training program where all employees learn how to craft effective prompts to obtain better answers. Additionally, they’ve developed a set of example prompts for common tasks, which employees can use as a starting point. This approach not only improves their analysis of potential investments and portfolio companies but also helps minimize biases. By leveraging LLMs’ ability to detect sentiment in texts, this aspect is integrated into their decision-making process.
• Portuguese bank Millennium BCP presented a case on end-to-end process automation. Previously reliant on OCR and RPA, they have now replaced these tools with LLMs and APIs, providing greater flexibility and efficiency.
• Sofware company Rainbird has developed explainable AI using graph databases to store knowledge. This enables the creation of a chatbot that not only provides accurate answers but also explains why those answers are correct. The technology is particularly useful for complex policy questions, such as government regulations and insurance policies, where straightforward answers may not be readily available. The system ensures that responses comply with established policies.
A key takeaway from these examples is that the frontrunners in generative AI (genAI) did not gain their advantage with the recent rise of genAI alone. They began much earlier, organizing their data and automating processes as much as possible. This strong foundation enables them to achieve significant improvements with AI in a relatively short timeframe.


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