Netcracker Agentic AI Solution

Agentic AI builds on predictive and generative AI by introducing AI agents — autonomous, goal-driven entities that use telecom data, tools and context to make decisions, act and collaborate.

For telecom service providers, this represents a significant change in value creation:

• Automating complex workflows faster across business and network operations improves deployment accuracy and efficiency and accelerates the delivery of new dynamic services
• Adapting in real time to customer and service needs transforms relationships with consumer, enterprise and wholesale customers
• Accelerating innovation and time-to-market drives new revenue from fiber and 5G investments

While AI is already in use across most telecom providers, many deployments remain isolated, limiting broader impact. To unlock AI’s full potential, agents need access to accurate and real-time telecom domain data and decision-making tools. They must collaborate seamlessly across systems and vendors, supported by governance frameworks that ensure trust, security and accountability at scale.

• Ready-to-Deploy AI Agents – prebuilt for telecom to deliver value from day one
• Open Agentic AI Platform – orchestrating and scaling multi-agent use cases across the business while operating at the highest levels of precision and trust
• AI-Native Digital Portfolio – built-in agent intelligence and a single source of truth for all BSS/OSS data to accelerate automation and integration
• ROI Framework – driving faster time to value and measurable outcomes for every agent use case
• Robust Security and Governance – protecting data, guaranteeing compliance and building trust for agent-driven operations at scale

Netcracker gives service providers the ability to break free from siloed AI by creating open ecosystems where agents from any vendor can work together, access relevant real-time data and context and deliver measurable business outcomes. This is backed by support for emerging standards such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) Protocol.

Leading service providers worldwide are already working with Netcracker to achieve immediate impact while building a solid foundation to scale AI across the business.

Netcracker’s Agentic AI Platform is designed for openness and flexibility:

• Any agent – Netcracker or third party
• Any LLM – freedom to choose the best model for each use case
• Any data and tool – real-time access to trusted data from any source and dynamic access to the right tools – from code generators to ontologies and APIs – to execute tasks and achieve outcomes
• Any channel – seamless agent integration into mobile apps, B2B portals and internal workstations

The platform includes an Agent Design Studio that lets service providers ideate, create, test and launch new AI agents and multi-agent use cases with speed and confidence. Agents can collaborate in different ways – hierarchical, peer-to-peer or hybrid – while sharing persistent knowledge about preferences, history and prior actions to deliver richer outcomes. By combining this shared knowledge with Retrieval Augmented Generation (RAG)-based access to real-time data and tools, agents deliver actions and insights that are both contextual and correct.

At the core of the platform, the AI Trust & Control layer unifies agent orchestration, robust security, governance and observability. This ensures every agent interaction is transparent, auditable and aligned with business and regulatory requirements – giving service providers the confidence to scale AI safely and effectively.

Together, these powerful capabilities provide personalized, consistent and intelligent experiences that provide immediate value and also evolve into scalable, multi-agent ecosystems. As these ecosystems expand, they unlock new levels of automation, cross-domain collaboration and business transformation – turning AI from a series of isolated tools into a strategic growth engine for the telecom provider.

Trust is fundamental for agentic AI in telecom. Netcracker’s solution is built with enterprise-grade security and governance frameworks that safeguard sensitive data, protect customer privacy and guarantee regulatory compliance in every market. All AI Agents are deployed with rigorous access controls, audit trails and explainability features, giving service providers the ability to understand how decisions are made and to maintain accountability through all phases, from design to implementation to operations.

Beyond implementing the most robust security measures, trust requires consistency, precision and control. Netcracker helps operators gain trust by helping them define the right guardrails and policies for AI adoption – from data usage and model selection to performance benchmarks and ethical standards. Our AI Agents are defined with a specific scope and have access only to the data and tools needed to perform their tasks. This approach keeps them grounded, delivering accurate outcomes and maintaining the reliability required in critical telecom environments where customer experience is non-negotiable.