What Are NVIDIA’s 24/7 AI Agents for Telecom?

On 28 February 2026, NVIDIA announced a major update for telecom companies. They launched a new open source AI model called NVIDIA Nemotron LTM (Large Telco Model). This model has 30 billion parameters and is built specifically to understand telecom language. It can handle tasks like finding network faults, planning fixes, and checking if changes are safe.

Think of it as a trained engineer who never sleeps. These AI agents can monitor networks round the clock. They spot problems, suggest solutions, and even take action if needed. Unlike earlier automation, these agents can interpret unclear requests, handle surprises, and learn from corrections. That is a big step forward.

NVIDIA also released two new blueprints or ready-made templates. One helps telecom operators save energy on radio networks. The other improves network configuration with multiple AI agents working together. Both are available through the GSMA’s new Open Telco AI initiative, which means any operator can use them.

For Indian businesses, this means telecom services could become more reliable. Your internet connection, mobile network, and customer support calls could all be managed by these AI agents in the background. The agents work 24/7 without fatigue, so problems get solved faster.

NVIDIA AI Agent Blueprints: A Quick Comparison

NVIDIA released several tools for building AI agents. Here is a quick comparison of the main offerings announced in February 2026. Each serves a different purpose, and Indian IT firms are combining them based on client needs.

These tools are not just for big telcos. Any business that runs call centres or handles network operations can benefit. To explore how AI agents can work for your business, check out our AI agents and bots services page.

Why This Announcement Matters for India in 2026

India is not just a market for these AI agents. NVIDIA has made India a strategic deployment partner. They are working directly with Indian IT firms, setting up AI training centres, and building cloud partnerships across the country. This means Indian businesses will be among the first to use these tools.

India’s IT Services Industry Is at the Centre

India’s IT services industry is worth 250 billion dollars and employs over 5 million people. Firms like Infosys, Wipro, Tech Mahindra, and Persistent Systems are already deploying these enterprise AI agents. They are using NVIDIA’s AI Enterprise software and Nemotron models to build agents for telecom infrastructure and call centre operations.

Call Centre Resolution Times Are Dropping

Early deployments in call centres show a 40 to 60 percent reduction in resolution time for routine queries. For an Indian business, this means customers get faster answers. It also means fewer support staff needed for simple questions, allowing them to focus on complex issues.

Back-Office Headcount May Reduce

Some analysts predict a 20 to 30 percent reduction in back-office headcount over the next three years. This is not necessarily job cuts but a shift in roles. Routine billing disputes, network troubleshooting, and service requests can now be handled by AI agents. Human workers will move to more strategic tasks.

Tech Mahindra’s Specific Role

Tech Mahindra is building AI agents that can troubleshoot network issues, process service requests, and handle billing disputes without human help. They published an open source guide for fine-tuning models using the NeMo-Skills pipeline. This makes it easier for other Indian companies to build similar agents.

How Indian IT Firms Are Deploying These AI Agents

The deployment is happening in stages. Here is how Indian system integrators are rolling out these agents based on the latest announcements.

• Step 1: Understand the existing workflow. The IT firm maps out how network operations or call centres currently work. They look at high-impact incidents and how expert engineers resolve them. This creates a baseline for AI training.
• Step 2: Fine-tune the Nemotron LTM model. Using the open source Nemotron model, they add the client’s own network data and operational logs. This makes the AI agent understand specific terminology and processes used by that telecom operator.
• Step 3: Build reasoning traces. The team translates expert resolutions into step-by-step procedures. These become structured traces that teach the AI agent how to reason like a Network Operations Center engineer. This is the core of agentic AI.
• Step 4: Deploy and test with simulation tools. Agents are tested in virtual environments like VIAVI’s TeraVM AI RAN Scenario Generator. This allows the AI to validate its decisions before touching real networks. The closed-loop principle ensures safe deployment.
• Step 5: Go live with monitoring. Once tested, agents handle real customer queries and network issues. They work 24/7 and can escalate to human staff if needed. Indian firms like Persistent Systems are already in this phase for telecom clients.

This approach is different from past automation efforts. Because agentic AI uses large language models, it can interpret vague requests and adapt to unexpected situations. It is more like a human colleague than a fixed script. For a deeper look at what AI agents can do for marketing, read our article on OpenAI Enterprise Analytics for Indian Marketers.

What Small and Medium Businesses Should Do Next

You might not run a telecom company. But this trend will affect your business too. Call centres, customer support, network management, and back-office operations across all industries will change. Here is what you can do to prepare.

Do Not Wait for the Perfect Tool

Indian tech leaders are pivoting to become automation providers. They recognise that adopting AI is crucial for defending their market position. If you own a small business, start exploring AI tools now. Even simple AI agents for customer support can save hours each week.

Focus on High-Impact Incidents First

NVIDIA’s guide for building AI agents suggests focusing on high-impact incidents first. For your business, that could mean automating the most frequent customer questions or billing queries. Do not try to automate everything at once. Pick one area and test it.

Train Your Team on Basic AI Concepts

Indian system integrators are making a calculated bet that controlling enterprise AI deployment will define the next era of tech services. For your team, understanding how AI agents work is becoming as important as knowing Excel. Invest in basic training now.

Work with a Partner Who Understands AI

You do not have to build AI agents from scratch. Companies like NaviGo Tech Solutions can help you integrate AI tools into your marketing and customer support. We offer AI strategy consulting to find the right starting point for your business.

Watch the 12 to 18 Month Window

Analysts say the effectiveness of these early deployments will be tested within the next 12 to 18 months. By late 2027, the use cases will be clearer. But early adopters will have a competitive edge. Start learning now so you are ready to act when the time is right.