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Tray.io has just launched Merlin AI, a natural language automation feature on its platform that empowers employees and developers to construct, refine, and enhance workflows without requiring IT or engineering participation. With Merlin AI, large language models (LLMs) can be transformed into complete business processes without exposing customer data to LLMs or mandating LLM training. This reduces integration time from weeks or months to minutes, streamlining complex workflows through generative AI.
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Tray.io, a leader in enterprise automation, today announced the launch of their new Merlin AI, a groundbreaking automation software designed to streamline workflows without Lawson Learning Management (LLM) training.
With this new technology, businesses can rapidly deploy data-driven automation to manage operations that were previously unmanageable for non-technical users. By allowing users to choose from pre-built automation templates, Merlin AI eliminates the need for LLM training and drastically reduces the time and effort required to automate process workflows.
Merlin AI has been built with advanced analytics and machine learning that delivers an intuitive user experience. With a simple drag-and-drop interface, users can quickly create powerful automation that can handle a variety of tasks, from system maintenance to document services. The result is a streamlined workflow, with reduced staffing costs and higher efficiencies.
By using Merlin AI, businesses can reduce the time it takes to automate workflows, reducing the set up time for training and eliminating the need to develop custom solutions. Additionally, the software provides enhanced security, ensuring user data is held secure and safe.
By leveraging Tray.io’s advanced automation technology, businesses can deliver automation solutions quickly and easily, allowing them to focus more time and resources on core operations. Merlin AI is the perfect solution for businesses looking to automate their process workflows without the time and cost of traditional training. =
