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A Conversational Agent to Centralize Corporate Knowledge and Accelerate Decision-Making and Boost Productivity

A leading industrial organization faced the growing challenge of information fragmentation and the loss of critical know-how, which hindered operational efficiency and slowed down internal training processes.

Project duration:

6 months

Output:

Knowledge Management System

The challenge

  • The dispersion of information across isolated silos (local servers, various cloud platforms ...) made it extremely difficult for employees to retrieve technical data and operating procedures quickly.
  • Information Silos: Knowledge was fragmented across different departments, leading to duplication of work and inconsistencies in processes.
  • Knowledge Loss: Employee turnover and the retirement of key figures resulted in the irreversible loss of undocumented technical expertise.
  • Operational Inefficiency: Employees take a lot of their time searching for information needed to complete daily tasks, reducing overall productivity.
The company implements KMS, an advanced Knowledge Management platform powered by artificial intelligence, designed to transform unstructured data into actionable corporate assets. The solution includes: Intelligent Semantic Indexing: Automatic acquisition and categorization of documents from heterogeneous sources using Natural Language Processing (NLP). Cognitive Search Engine: A natural language search interface that allows users to find precise answers instead of simple lists of files. Automatic Summarization & Dynamic Wikis: Automatic generation of technical summaries and the creation of a centralized, constantly updated knowledge base
  • Automatic classification and extraction of identity documents, income proofs, and declarations.
  • AI-driven validation to detect inconsistencies and missing data.
  • Anomaly detection algorithms to flag potential fraud or manipulation in submitted documents.

Impacts

Success stories

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