IT Requirements Management in Telco Operator

Enterprise Architect, JIRA, Confluence integrated as Knowledge Bases with BlueBox AI 2.0

the Problem

  • Time-Consuming Review: Manual review and analysis are labor-intensive and delay projects.

  • Traceability Issues: Keeping track of requirement changes and maintaining traceability is complex.

  • Varying Quality: Ensuring the accuracy and completeness of documents is challenging.

  • Integration Problems: Difficulty integrating various tools and systems used for document management.

  • Prioritization Challenges: Prioritizing and analyzing requirements from numerous documents is tough.

  • Resource Allocation: Limited skilled personnel and resources to manage extensive documentation.

  • Data Security: Ensuring the security and privacy of sensitive information within documents.

KPI Before

  • Long Document Review Time

  • Low Requirements Traceability

  • Signifcant Error Rate

  • Low Collaboration Efficiency

  • Low Tool Integration Effectiveness

Technology applied:


IBM Watsonx.AI

BlueBox AI 2.0

The implemented Solution

  • Confluence, JIRA Integration with Bluebox AI

  • Enterprise Architect Integration with Bluebox AI

  • Automatic upload of thousends of documents to Bluebox AI NoSQL vector data warehouse

  • Automatic ingestisation of the documents

  • Entity recognition processes implemented

  • Document version comparisons and synthesis

  • Automated conclusions done by LLM in RAG

KPI After

  • Low Document Review Time

  • High Requirements Traceability

  • Low Error Rate

  • High Collaboration Efficiency

  • High Tool Integration Effectiveness

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