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Solution: Make information easily and quickly accessible
Many companies face the challenge of efficiently utilizing ever-larger and more diverse volumes of data. At the same time, there is a growing expectation that employees will be able to quickly find and understand relevant information and integrate it into their work processes.
AI can make a valuable contribution to efficient information retrieval across the entire company, with traceable source references. It is possible to use multiple large language models. Depending on your preferences, the system can be installed on-premises or in the cloud. In addition to easy integration into existing applications, the system relies exclusively on the organization’s own information. Through chatbot functions, employees can ask specific questions and automatically generate summaries based on internal data.
AI can be easily integrated into existing applications. (80 ready-made connectors, e.g., SharePoint, Teams, SAP, Salesforce, etc.)
AI uses only data that has been shared with the respective user. All other data is not included in the queries.
Simple, fast information retrieval across the entire company with clear source attribution.
By limiting access exclusively to the company's own data, the risk of data corruption is minimized. Data security is maintained because the data remains within the company.
Multiple large language models (LLMs) can be used. Different LLMs specialize in specific topics or different languages. Using multiple LLMs leads to improved search results.
enaio® can be used as a source of highly precise structured data (such as filing structures, document types and attributes, or metadata) as well as unstructured data (such as full-text information or document content) for AI. Depending on how long it has been in use,enaio® contains stored business data, including precise metadata, content, and even graphical layouts. This can be used as a source for queries and summaries. Additional software products can be integrated, enabling enterprise-wide search capabilities.
AI can also be used to speed up yourenaio ®. AI can automate manual processes.
For example, when you import a document intoenaio®, you must specify the document type to the system and enter the document's metadata. You can use AI to automatically classify and identify all incoming documents, thereby speeding up this process.
In addition, the models can be trained to automatically identify storage locations, eliminating the need for manual intervention when creating new documents inenaio®: You simply drop a document into place using drag-and-drop, and the AI recognizes its type, adds metadata to it, and even stores it in the correct location within the system.
