Complete Your AI Stack
with Real-Time Network Access

Your LLMs and RAG systems provide knowledge. MCP provides live network reality.
Together, they enable truly intelligent telecom operations.

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# NOC asks: "What's impacting our SLA customers right now?"

# RAG provides: historical patterns, runbooks, knowledge base
# MCP provides: live network state across ENM, BSS, FM, PM

✓ 3 active alarms on site AKL02467
✓ 847 customers affected, 3 SLA-critical
✓ Root cause: RRU failure on Cell_A
✓ Recommended action: Priority dispatch + customer notification

Why MCP Complements Your AI Investment

Most telecom AI initiatives struggle because 80% of project cost goes to data engineering.
MCP provides clean, AI-ready interfaces to live systems—without cleansing legacy data.

📚 LLM + RAG

  • ✓ Training data & historical patterns
  • ✓ Documentation & runbooks
  • ✓ Expert knowledge capture
  • ✓ Natural language understanding
  • ✓ Reasoning & recommendations
  • ⚠️ Static snapshots, can hallucinate
+

🔌 MCP Orchestration

  • ✓ Real-time network state
  • ✓ Live customer impact data
  • ✓ Deterministic API access
  • ✓ Cross-silo correlation
  • ✓ Audit trails & governance
  • ✓ Zero hallucination on facts

🚀 Combined Power: The Complete AI Stack

RAG tells your agent what it knows. MCP tells your agent what's happening now. Together, they enable intelligent decisions grounded in both knowledge and reality.

  • ✓ Agent understands context from training + docs (RAG)
  • ✓ Agent sees live network state with no hallucination (MCP)
  • ✓ Agent correlates across BSS and OSS in real-time (MCP)
  • ✓ Agent takes action with full audit trail (MCP Broker)
80%
of AI project cost is data engineering. MCP bypasses this by providing clean, standardised interfaces to live systems.

Targeting Operational Bottlenecks

Successful AI adoption requires disciplined focus on specific bottlenecks—not "boiling the ocean."

Bottleneck Current State MCP-Enabled Solution
Cross-system visibility "Swivel chair" operations across 4+ systems Single natural-language query across OSS/BSS
Service qualification delays Days to qualify enterprise opportunities Minutes with automated network reality check
Alarm triage during outages Reactive, severity-based prioritisation Proactive, business-impact prioritisation
Trouble ticket diagnosis Manual investigation, frequent escalation Automated enrichment with expert knowledge
Change impact assessment Tribal knowledge, incomplete analysis Comprehensive cross-domain impact prediction

Progressive AI Adoption

Start with low-risk, high-value use cases. Build confidence. Scale with guardrails.
Each tier builds on the previous, creating a natural progression to autonomous operations.

Tier 1

Read-only Intelligence

Low Risk • Immediate Value

Cross-silo visibility for operations and business staff. No network changes required.

  • Network health dashboards
  • Pre-sales service qualification
  • Customer impact analysis
  • Change impact prediction
Tier 2

Assisted Operations

Medium Risk • Human-in-Loop

AI augments engineer productivity with recommendations. Human approves all actions.

  • Trouble ticket enrichment
  • Neighbour relation optimisation
  • Service activation pre-check
  • Capacity planning intelligence
Tier 3

Autonomous Operations

Higher Risk • Guardrails Required

AI-initiated actions within defined boundaries. Full audit trails, human override.

  • Self-healing parameter rollback
  • Zero-touch service provisioning
  • Intelligent alarm correlation
  • Dynamic network slicing
Tier 4

Business Intelligence

Low Risk • Strategic Value

Read-only insights for executives and planners. Data-driven strategic decisions.

  • Network investment ROI
  • Regulatory compliance audit
  • Competitive benchmarking
  • CAPEX optimisation

Recommended Starting Point

Apply Lean AI principles: target specific bottlenecks with a Minimum Viable Machine

🎯
Primary: Customer Impact Analysis
Why start here:
• High visibility—directly impacts CX and SLA management
• Quantifiable value—reduced MTTR, fewer SLA breaches
• Low risk—read-only, no network modifications
• Cross-silo proof—showcases ENM + BSS integration

Success metric: Impacted customers identified in seconds, not hours
💰
Secondary: Pre-Sales Qualification
Why add this:
• Revenue acceleration—supports sales conversion
• Clear ROI—faster quotes = higher win rates
• Different stakeholder—validates value beyond NOC
• Complementary data—tests topology + catalog

Success metric: Qualification time from days to minutes

Architecture

Built on TM Forum Open Digital Architecture and CAMARA standards

🤖 AI Agent Layer (Your Models + RAG)
LLM (GPT, Claude, etc.)
RAG Knowledge Base
Service Agents
Network Agents
🔐 Telepath AI MCP Broker Security & Governance
Authentication (IAM)
Role-Based Access
Audit Logging
Rate Limiting
Data Sovereignty
🔄 MCP Server Layer Tool Abstraction
ENM MCP Server
BSS MCP Server
FM/PM MCP Server
Inventory MCP Server
🔌 TM Forum APIs & CAMARA Extensions
TMF622 Product Ordering
TMF640 Service Activation
TMF629 Customer Management
TMF637 Service Qualification
TMF638 Service Inventory
TMF656 Service Problem
🏢 BSS/OSS Systems
ENM
CRM
Billing
Inventory
Provisioning
Fault Management

Enterprise-Grade Security Broker

MCP alone doesn't address security, access control, and data sovereignty.
The Telepath AI Broker provides the governance layer required for production telecom deployments.

🔐

Authentication & Authorisation

Integration with operator IAM systems. OAuth 2.0, JWT, mTLS support.

👤

Role-Based Access Control

Granular permissions aligned with operational roles. Agent-specific access levels.

📋

Audit & Compliance

Comprehensive logging for ISO 27001 and regulatory requirements. Immutable audit trails.

Rate Limiting & Safety

Protection against runaway automation. Configurable guardrails for autonomous operations.

🏛️

Data Sovereignty

Sensitive network data remains within operator control. On-premise deployment options.

🔗

Secure Containers

MCP servers run in isolated containers with network policy enforcement.

Standards-Based Integration

Full TM Forum ODA compliance with CAMARA extensions

Service Management
TMF633 TMF640 TMF637 TMF638
Customer Management
TMF629 TMF632 TMF621
Product & Ordering
TMF620 TMF622 TMF641
Resource & Assurance
TMF639 TMF656 TMF628
Network Management
ENM FM NBI ENM PM ENM CM
CAMARA APIs
QoS on Demand Edge Discovery SIM Swap

Ready to Complete Your AI Stack?

See how MCP orchestration complements your existing AI investments
to enable truly intelligent telecom operations.