Fabrix.ai presents at
Telecom Council Innovation Showcase
From AIOps to AgentOps: How AI Agents Are Autonomously Running Telco Network Operations
Wednesday, May 6, 2026
12:00 PM – 6:00 PM PST
SRI, 333 Ravenswood Ave, Menlo Park, CA
What you will learn
Fabrix.ai and Tata Communications will share a live deployment case study on how the team deployed purpose-built AI Agents to autonomously detect faults, correlate events, remediate incidents, and assure service quality across 1,900+ enterprise customers, 100,000+ managed assets, and 30+ management tools at global carrier scale.
“The real question isn’t ‘Is Agentic AI ready for Telco?’ — it’s ‘How quickly can your operations team get there?’ We’re here to show you a path that’s already working.”
Meet the Speakers
Whether you’re joining us in person or attending virtually, our team is ready to walk you through exactly how Fabrix.ai fits into your 2026 operational strategy — and what ROI looks like in production environments.
Ankur Jindal
VP, Global Head Venturing, Technology and Innovation
Tata Communications
Shailesh Manjrekar
Chief Marketing Officer
Fabrix.ai
The Problem
As Tata Communications scaled its global operations, the complexity of running truly autonomous, AI-driven operations at carrier scale demanded a new approach. Events were surfaced but not autonomously resolved. Correlation happened across silos. Onboarding new enterprise customers required a significant integration effort. And with strict data sovereignty requirements ruling out external cloud AI services, the question became: "How do we get AI to act entirely within our own infrastructure?"
The Shift: From AIOps to AgentOps
Traditional AIOps: AI surfaces the problem. A human resolves it. Agentic AIOps: AI surfaces the problem. An AI Agent resolves it.
Solution
Fabrix.ai’s Agentic AI Platform is deployed as the operational intelligence layer across Tata Communications’ infrastructure integrating with 30+ existing tools spanning network telemetry, OSS/BSS, security (ArcSight, Palo Alto, Fortinet), cloud (AWS, GCP, Azure), infrastructure (VMware vSphere, Kubernetes, Red Hat), compute and storage (Dell, HPE, NetApp, EMC), and ServiceNow for ITSM and CMDB bidirectional sync without a rip-and-replace.
Results & Outcomes
The Fabrix.ai deployment at Tata Communications delivered strong results that set a new benchmark for what Agentic AI can achieve in a live carrier environment:
| KPI | Result | Industry Benchmark |
|---|---|---|
| Alert noise reduction | 90%+ | 75% |
| Incident resolution time | 50%+ faster | 35% |
| Customer onboarding time | 6 weeks → 2 weeks | 2–3 months |
| FTE savings | 10 FTEs reallocated | 2–3 FTEs |
| SLA compliance | 100% | 50–70% |
| Operational savings | $1M+ | - |
| Platform expansion | Multiple divisions | - |
“Fabrix.ai AIOps platform has already delivered significant value to us. Correlating and deduplicating multiple events from disparate sources and triggering actionable alerts has helped us improve the efficiency and productivity of our engineers. We are excited to further explore their new agentic AI capabilities and enhance our operations.”
Why Tata Communications is Partnering with Fabrix.ai:
Tata Communications evaluated what it would take to move from AI-assisted workflows to fully autonomous operations, and three things stood out about Fabrix.ai:
- The ability to integrate with their existing tools without a rip-and-replace,
- A proven Agentic AI platform that runs on-premises entirely,
- The AgentOps framework to orchestrate, govern, and scale AI Agents safely across a global carrier environment.
Pillar 1: Visibility
- Full-stack asset discovery — 5G, Edge, O-RAN
- Application dependency mapping and service topology visualization
- Composable dashboards and observability data lake
- Compliance management, change management, lifecycle analytics
Pillar 2: Insights
- Event and alarm enrichment via topology and NLP
- AI/ML-based event correlation and log correlation
- Predictive anomaly detection — events, logs, metrics
- Fault synthesizer and root cause analysis (Virtual War Room)
Pillar 3: Actions
- AI Agents executing closed-loop remediation autonomously via pre-approved runbooks.
- Multi-agent orchestration collaborates across domains to resolve complex incidents
- Human-in-the-loop controls with full override, audit trail, and rollback capability
- AgentOps dashboard for real-time visibility into agent activity, decisions, and outcomes
- Service management integration: agents update CMDB, create/close tickets, and notify stakeholders automatically
65% of Tier-1 CSPs will have implemented AI agents aiming for autonomous network operations by 2028, up from fewer than 5% in 2025.
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Telco Supported AI Agents
Fabrix.ai helps telecom companies shift from AI-assisted workflows to fully autonomous, self-healing networks.
Anomaly Detection Agent
Automatically learns operational baselines from metric and log data to detect and flag anomalous behavior in real-time.
Digital SRE - Remediation Agent
Executes safe, pre-approved remediation actions via runbooks and APIs, ensuring stability with human-in-the-loop oversight.
Digital SRE - RCA Agent
Research the root cause of a networking issue within a given time frame and provide a recommendation to resolve the issue.
ACL Change Audit Agent
Continuously audits Access Control List (ACL) modifications to identify, flag, and report potentially risky rule changes.
Log Analysis Agent
Telco networks generate massive syslog/event streams, and log pattern analysis is core to fault management.
Network Change Risk Assessment Agent
Scores the potential impact of network changes by analyzing blast radius and rollback safety to mitigate operational risks.
Network Config Compliance Agent
Evaluates network device configurations against industry best practices and vendor guidelines to ensure compliance.
Asset Capacity Insights Agent
Analyzes network port capacity and utilization to identify and flag over- or under-provisioned data center resources.
Asset Health Reporting Agent
Network gear health scoring and predictive maintenance are directly relevant to Telco infrastructure ops.