Inventory Intelligence Agent
AI-assisted inventory analysis for reconciliation, topology correlation, and change impact insight — with governance and traceability built in.
Designed for: CSP inventory/ops teams · OSS OEMs · Transformation programs
Evidence-linked outputs
Every answer includes references + confidence
Governance built-in
Human-in-the-loop approvals + audit trail
Secure deployment
On-prem/VPC; RBAC + logging
Multi-domain intelligence
Active + passive + service topology
Built on Enterprise Standards
Why Inventory Still Breaks
Legacy approaches rely on manual reconciliation and point-to-point integrations, leading to a cascade of operational failures.
Disconnected sources
(active, passive, service)
→ Inconsistent views and fragmentation
Reconciliation debt
Stale data across OSS boundaries
→ Low trust and manual audits
Missing topology context
No end-to-end visibility
→ Slow RCA and unclear impact
Change risk unknown
Blind spots in service mapping
→ Incidents after changes
Integration sprawl
P2P custom scripts everywhere
→ Fragile pipelines and drift
What the Agent Does
Highly specific, deterministic capabilities enhanced by AI to resolve the most stubborn inventory challenges.
Entity resolution & normalization
Matching rules + exceptions handling across disparate schemas.
Topology correlation across domains
Stitching logical, physical, and service layers together.
Data gap identification
Finding missing links, inconsistencies, and stale records.
Change impact / risk insight
Predicting what services and sites are affected before changes.
Natural language query over inventory
Governed, reference-backed answers to complex engineering questions.
How It Works
Click any data input to see how the agent correlates it into actionable intelligence.
Data Inputs
Agent Reasoning
Correlation • Entity Resolution
Graph Analysis • Pattern Detection
Actionable Outputs
Security-First Architecture
Enterprise data boundaries respected by design. No training on customer data.
Sources
Batch + Streaming
Topology Graph
Entity Resolution
Agent Layer
LLM + Logic
Output APIs
UI / Integration
Deterministic Logic
- •Validation rules, schema checks, mapping contracts
- •Policy checks, approvals, guardrails
- •Idempotent workflows, retries, DLQ patterns
AI-Assisted Capabilities
- •Natural language query interpretation
- •Summarization of topology and blast-radius impact
- •Anomaly hints and automated reconciliation suggestions
⊙ Output quality gates: Confidence scoring + HITL review
Natural Language Querying
Ask complex topology questions. Get reference-backed answers.
Tailored to Your Role
Actionable intelligence adapted to operations, engineering, and partner ecosystems.
Faster Incident Triage
Instantly trace alarms to impacted services using topology context.
Impact Analysis
Simulate network faults to identify affected enterprise customers.
Change Risk Assessment
Pre-validate maintenance windows against live network state.
NOC Automation
Automate L1/L2 diagnostic queries via natural language bots.
Enterprise Deployment
Deploy where your data lives. Maintain absolute control over network intelligence.
VPC / Cloud Native
Deployed within your AWS/Azure/GCP environment. Connects via secure peering.
On-Prem / OpenShift
Containerized deployment for your private data centers. Air-gapped capable.
Strict Access Control
OIDC/SAML integration. Granular RBAC limits what users can query and see.
Integration Interfaces
TM Forum Open APIs
Standardized TMF639 (Resource) and TMF638 (Service) ingestion and exposure.
REST & gRPC Endpoints
High-performance querying and programmatic execution of reconciliation tasks.
Kafka Event Streaming
Real-time topology updates and change event processing.
Mapping Contracts: The agent uses declarative YAML mapping contracts to translate proprietary vendor schema into standard graph models.
Proven Outcomes
Challenge
Months spent manually reconciling active network vs billing.
Approach
Agent continuously matched discovery logs against CRM extracts.
Outcome
85% reduction in manual reconciliation time.
Challenge
Blind spots in enterprise service impact during change windows.
Approach
Graph correlation between logical circuits and physical routing.
Outcome
Zero unpredicted customer outages during changes.
Challenge
Proprietary vendor NMS creating siloed data islands.
Approach
AI-assisted mapping to TM Forum Open APIs.
Outcome
Unified topology view created in weeks, not years.
Want to see it on your topology model?
Request a Demo of the Agent
We can run an NDA-friendly walkthrough with sample architecture.