Azalio

AI & Automation Frameworks

Telecom-Aware AI for Smarter Network Operations

Enterprise AI systems built on telecom domain intelligence — with deterministic validation, evidence-based outputs and human-in-the-loop governance.

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Telecom-aware AI
Inventory reasoning
RCA / RFO automation
Deterministic validation
Human-in-the-loop
Governed AI pipeline

Ingest OSS signal

alarm · topology · ticket

Reason over context

knowledge graph + LLM

Validate deterministically

rules · graph constraints

Attach evidence

lineage · sources · trace

Human approval

RBAC gate before action

Platform

Azalio Automation Network Platform

Ingestion Layer
OSS/BSS Core
4G/5G Network
RAN Elements
NMS Telemetry

Azalio Core

Agentic Reasoning Engine

Topology Context
Semantic Search
Value Delivery

Automated RCA

Sub-second root cause

Inventory Truth

Dynamic topology

RFO Generation

Instant reporting

AI Services

AI Services for Telco OSS — 4 Pillars

Practical AI services built around real telecom operations problems.

AI Service Assurance

Correlate alarms, topology, tickets and KPIs into service-level insight.

Faster triage and reduced MTTR.

FM/PM dataTopology graphKPI trends

Flagship Solution

Inventory Intelligence Agent

Turns fragmented inventory and topology data into governed, evidence-linked operational intelligence.

AG-UI
Deep Data Agents Factory
Inventory Agent
Viz Agent
Assurance Agent

MCP-style connectors · Nokia UIV / NAC · NMS · TM Forum knowledge

From inventory queries to topology intelligence

Natural language inventory queriesTopology canvas and drill-downData gap detectionReconciliation workflow
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Architecture

How the Architecture Works

From telecom knowledge to governed operational outcomes — click any stage to jump to it.

Grounded in telecom semantics, not keyword search.

  • TM Forum SID — service & resource models
  • 3GPP specs — 5G Core, RAN, network functions
  • Vendor manuals & OSS data models
Built onTM Forum SID3GPPGSMANokiaEricssonHuawei

In Progress

Proof-of-Concept Tracks Underway

AI PoCs shaped around real operational workflows.

Operational Outcomes

  1. Service ImpactCustomer-facing degradation
  2. ReconciliationInventory discrepancies
  3. Order ReadinessPre-activation checks
  4. Guided RCAEvidence-linked cause

RFO / RCA Agent

Pipeline in build

RFO creation is manual and hard to convert from technical evidence into a customer-ready narrative.

RCASIA impactMapping engineStandardized RFO
  • Evidence-linked RFO draft
  • Customer-grade narrative
  • Human approval before publish
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OCP / Cloud Ops RCA Agent

Correlation in test

OCP incidents need correlation across node events, logs, metrics, GitOps changes and runbooks.

OCP signalsEvidence correlationRoot causeNext-best-action
  • Root-cause hypothesis with evidence
  • Recommended checks
  • Runbook-guided remediation
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