Netcracker Agentic AI Solution

Telecom-specific agentic AI platform with more than 60 ready-to-deploy agents.

Custom quoteTelecom operations and customer-experience AI agent platform

No user reviews yet. Be the first to rate it.

Visit website
Netcracker Agentic AI Solution website screenshot
Netcracker Agentic AI Solution website

Quick Facts

DeveloperNetcracker Technology (a subsidiary of NEC Corporation)
Websitenetcracker.com/portfolio/products/netcracker-agentic-ai-solution
Agent typeTelecom operations and customer-experience AI agent platform
Best forCommunications service providers that want agents for care, sales, billing and network operations tied into their OSS and BSS systems.
Not ideal forSmall ISPs or businesses outside telecom, or teams wanting self-serve pricing.
Pricing modelCustom enterprise contract
Starting priceCustom quote
Pricing detailsNetcracker does not publish pricing; contracts are negotiated directly with operators.
Free planNo
ChannelsEmbedded in operator IT systems, customer care tools and network operations
What it does on its ownAgents automate multi-step workflows and adapt in real time toward goals, inside an AI Trust & Control layer that sets guardrails.
IntegrationsAny LLM, Model Context Protocol (MCP), Agent2Agent (A2A), Netcracker CPQ, Revenue Management, Resource Inventory, Service Orchestration
Company HQWaltham, Massachusetts, USA
Details last verified29 October 2026
CategoriesCustomer Support, Enterprise, IT & DevOps, Telecom
User ratingNo reviews yet

Netcracker offers more than 60 pre-built AI agents for telecom operators, covering jobs from quoting enterprise deals to isolating network faults. The company, a wholly owned subsidiary of Japan’s NEC based in Waltham, Massachusetts, has sold billing, operations and network software to carriers for more than three decades, and its Agentic AI Solution puts agents on top of that software.

The pitch is moving agentic AI out of pilots and into production at carrier scale, with guardrails that let operators control what the agents may change.

How It Works

The product has three layers. Ready-to-deploy agents handle telecom tasks in customer experience, business operations and network operations. An Open Agentic AI Platform, with an Agent Design Studio, lets operators build their own. An AI Trust & Control layer sets the rules and limits agents work within. Agents are embedded in Netcracker’s IT products, such as configure-price-quote, revenue management, resource inventory and service orchestration, so they act on live operator systems instead of in a separate chat window.

On the revenue side, Netcracker says agents drive personalized upsell offers, simplify complex B2B sales and help operators sell into satellite and enterprise markets. In care, they give human agents real-time insights and act on churn risks. In the network, they isolate and repair faults and optimize capacity on demand across fiber, mobile and satellite. The platform works with any large language model and supports the Model Context Protocol and Agent2Agent standards.

Pricing

Netcracker does not publish prices. Contracts are negotiated directly with operators, and there is no self-serve or trial option.

What to Watch Out For

Public materials describe what the agents can do but name few operators running specific agents in production, and they include no measured results. Buyers should ask for reference deployments, how the Trust & Control layer approves actions in billing or the network, and what happens when an agent gets something wrong. The product is designed for carriers, so it is not a fit for small providers or companies outside telecom.

Recent News

On September 4, 2025, Netcracker expanded its Agentic AI Solution with the pre-built agents, the open platform and the trust layer. Ahead of MWC 2026 in Barcelona, it put agentic AI at the center of its show, focusing on revenue, customer issues and network repair. In June 2026 it brought autonomous network operations to DTW Ignite in Copenhagen with operators including Swisscom, Telenet and du.

Features

  • More than 60 pre-built telecom AI agents
  • Open Agentic AI Platform with Agent Design Studio
  • AI Trust & Control layer for guardrails
  • Agents for upsell, B2B sales and churn retention
  • Real-time insights for customer care staff
  • Network fault isolation and on-demand optimization
  • Works with any LLM via MCP and A2A standards

Pros and Cons

Pros

  • Built specifically for telecom operators
  • Large library of pre-built agents
  • Model-agnostic and supports open standards
  • Backed by NEC and decades of telecom software experience
  • Governance layer aimed at production use at carrier scale

Cons

  • No public pricing or packaging
  • Few named operators tied to specific agent deployments
  • Public material is light on measured results
  • Not suited to small providers or other industries
Write a Review