Telco Governance
Implement full RBAC, audit trails, and policy controls across all AI.
Why ChatGPT for Telecom Fails at Enterprise Scale
While teams explore ChatGPT, telecom requires enterprise-grade AI. LyzrGPT offers secure, compliant, and domain-specific solutions for your core operations.
Enterprise security first
Telecom-ready workflows
Governed AI deployment
The Enterprise Alternative
to ChatGPT for Telecom:
Generic ChatGPT risks PII and can't handle OSS/BSS complexity. Lyzr provides purpose-built AI with the strict controls and data safety telecom operations demand.
Data Safety
Secure PII with data isolation and governed retrieval augmentation workflows.
Domain Copilots
Pre-built agents for network operations, customer experience, NOC, and field service teams.
Rapid Rollout
Deploy in weeks with telecom templates and pre-built integrations.
Cost Efficiency
Consumption-based pricing that scales predictably unlike seat-based models.
Workflows
Workflows
Deploy governed AI agents for NOC, customer operations, and network planning where basic AI tools pose a risk to your core business operations.
NOC Incident AI
Automate incident analysis and generate resolution suggestions for NOC teams.
CX Automation
Resolve complex customer issues with AI agents connected directly to your OSS/BSS.
Network Rollout AI
Analyze site data and planning documents to accelerate 5G network deployments.
Lyzr connects to your private data, OSS/BSS, and network monitoring tools to deliver secure, accurate AI outputs.
Drive Measurable Telecom
Outcomes with LyzrGPT
Lower Network MTTR
Accelerate incident diagnosis and resolution with AI-powered root cause analysis.
Increase Call Deflection
Automate tier-1 and tier-2 support inquiries with accurate, context-aware AI agents.
Ensure Safe AI Adoption
Deploy generative AI confidently with built-in governance, security, and audit trails.
Accelerate Execution
Speed up network planning and rollout by automating complex data analysis.
Enterprise-Grade AI for
Telecom Scale
Lyzr's architecture provides the security, control, and integration capabilities essential for large-scale telecom operators.
Private RAG
Connect AI to your private telecom data with secure retrieval augmentation.
Policy Enforcement
Define and enforce granular policies for data access, AI responses, and user actions.
OSS/BSS Integration
Natively connect to your core operational systems for end-to-end automation.
Agentic Workflows
Orchestrate multiple AI agents to handle complex, multi-step telecom processes.
AI Observability
Monitor performance, track costs, and evaluate response quality with dashboards.
ChatGPT for Telecom vs.
Lyzr Enterprise AI
| Feature | ChatGPT Enterprise | Single-Model AI | Lyzr |
|---|---|---|---|
| Data Privacy Model | Public SaaS only | Limited data control | VPC/On-prem deployment |
| OSS/BSS Integration | No native connectors | Basic API connectors | Native OSS/BSS links |
| Model Flexibility | Single model focus | Vendor lock-in | Multi-model orchestration |
| Auditability | No immutable logs | Restricted logging | Full, compliant audits |
| PII Controls | No built-in PII | App-level only | Built-in PII redaction |
| Telecom-Ready Workflows | Generic capabilities | Requires dev work | Pre-built NOC/CX agents |
| Scalable Pricing Model | Per user, per month | Unpredictable | Predictable consumption |
| Accuracy & Control | No fact-checking | Limited grounding | Fact-checking guardrails |
| Deployment Options | Public cloud only | SaaS platform only | Private cloud & on-prem |
| Vendor Dependency | Extremely high | Model-dependent | Model-agnostic design |
The Strategic Choice for
Telecom AI
Enterprise Security
Protect sensitive telecom data with private cloud deployment and full governance.
Telecom Fit
Purpose-built agents and workflows for NOC, CX, and network operations.
Control & Quality
Maintain full control over AI models, data access, and response accuracy.
Future-Proof
Our model-agnostic platform prevents vendor lock-in and adapts to new AI.
Trusted by Global
Telecom Operators
Leading telecom providers partner with Lyzr to deploy secure, scalable, and compliant generative AI solutions that drive real operational value.
We started with ChatGPT pilots but hit a wall on security and OSS/BSS integration. LyzrGPT gave us the enterprise-grade AI platform we needed to automate complex NOC processes securely, connecting directly to our core systems without exposing sensitive network or customer data.
VP, Network · Tier-1 Telecom Provider
Zero
Data exfiltration incidents
Deploy Enterprise AI for Telecom
in Four Steps
1. Discovery
We map your high-value telecom workflows for AI automation.
2. Integration
Securely connect Lyzr to your OSS/BSS and private data sources.
3. Governance
Apply your custom security policies, access controls, and guardrails.
4. Launch & Scale
Deploy AI agents to production and monitor performance for ROI.
Your Questions on Enterprise
AI for Telecom, Answered
Why isn't public ChatGPT for Telecom a safe option?
Public ChatGPT models pose significant risks for telecoms, including data privacy breaches, PII exposure, and lack of audit trails for regulatory compliance. They aren't designed to connect securely to sensitive OSS/BSS systems, making them unsuitable for core operations. LyzrGPT provides a private, governed environment to eliminate these risks.
How is LyzrGPT different from ChatGPT Enterprise?
While ChatGPT Enterprise offers some security features, it remains a SaaS, single-model solution. Lyzr provides a model-agnostic platform deployable in your private cloud, with deeper OSS/BSS integrations and agentic workflows built for telecom processes.
Can we deploy Lyzr on our own private cloud infrastructure?
Yes. Lyzr is designed for deployment flexibility. You can host our platform in your own VPC or on-premise servers, ensuring your data never leaves your control. This is critical for meeting data residency and compliance requirements common in the telecom industry.
How do you prevent AI hallucinations?
We minimize hallucinations through our secure, private RAG technology that grounds AI responses in your verified internal documents and system data. Our platform also includes fact-checking guardrails for critical telecom workflows, ensuring maximum accuracy.
What are the risks of using ChatGPT for Telecom compliance?
Using public tools like ChatGPT for telecom compliance workflows introduces major risks. There is no audit trail, data is not guaranteed to stay within sovereignty boundaries, and you cannot enforce specific regulatory rules. LyzrGPT provides full auditability and governance.
How long does it take to go live with Lyzr?
Our telecom-specific templates and pre-built connectors accelerate deployment. A typical pilot for a defined use case, like a NOC incident copilot, can be launched in just a few weeks, demonstrating value much faster than building from scratch.
What kind of integrations do you support for telecom?
We offer pre-built connectors for common OSS/BSS platforms, network monitoring tools, and internal knowledge bases. Our flexible API also allows for custom integrations, ensuring our AI agents can access the data needed to automate your telecom processes.
How does Lyzr's pricing compare to seat-based AI models?
Seat-based models become prohibitively expensive as you scale adoption. Lyzr uses a consumption-based model that offers predictable costs and scales efficiently as you deploy more AI agents across your organization, ensuring a clear and manageable ROI.
Can we migrate existing ChatGPT for Telecom pilots to Lyzr?
Absolutely. Many of our customers start with public AI pilots. We help you migrate those workflows to our secure, enterprise-grade platform, adding the governance, data integrations, and security controls required for production deployment in a telecom environment.
How do we measure the ROI of deploying Lyzr for telecom?
We work with you to define key metrics before deployment, such as reductions in MTTR or increases in first-call resolution. Our platform's observability dashboards provide the data needed to track these KPIs and demonstrate clear business value.
Got a use case in mind?
8 weeks from use case to
8 weeks from use case to
agents running in production.
Platform, people and FDEs, all in. Bring your environment. We’ll co-build and stay until it’s
live.