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OmniBOSS - Phase II

URN C25.5.888

Topics AI (Artificial Intelligence), Business assurance, Data management

The AI Agent for B/OSS Best Practices, Validation & Visibility Extension

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OmniBOSS Phase II proves that even with minimal effort, agentic AI can provide contextual insights from real operational data, closing the gap between practice and execution while preserving telecom expertise for the future. OmniBOSS is an Agentic AI platform that revolutionizes how Communication Service Providers (CSPs) operate their B/OSS environments by embedding domain knowledge, best practices, and AI-driven oversight directly into operational workflows. Unlike traditional systems that passively store configurations and metrics, OmniBOSS proactively monitors, evaluates, and recommends corrective actions across B/OSS layers — acting as a real-time expert assistant. In Phase I , OmniBOSS demonstrated a working prototype of Agentic AI for B/OSS best practices using simulated data. The goal was to prove the conceptual feasibility: AI agents can understand, enforce, and recommend operational best practices across TM Forum-aligned domains like alarms, thresholds, and inventory. Phase II builds on this foundation by extending the solution in two key ways: 1. Real-World Data Validation We evolve from simulation to validation against real-world data samples (anonymized or exported from live systems). This elevates credibility by showing how agents respond to actual operational complexity, not just theoretical cases. 2. New Asset – Best Practice Coverage Heatmap We introduce a visual analytics layer that displays which TMF API areas are fully, partially, or not yet covered by best practice enforcement. This new asset acts as a strategic roadmap for CSPs to prioritize improvements and track operational maturity.