From static rules to smart charging with GenAI
The telecommunications industry is transforming charging systems from static revenue collection tools into dynamic, AI-driven monetization platforms. The shift toward real-time monetization is urgent, allowing operators to quickly capture value and respond to changing customer needs. Industry openness and new business cases are also driving the demand for more agile charging infrastructure that supports innovative pricing models. To meet this need, Nokia is integrating GenAI into its Converged Charging (NCC) solution to enhance efficiency, agility, and cost-effectiveness, enabling real-time personalized offers and significant operational improvements.
Nokia’s approach to charging evolution
Nokia is leveraging AI, particularly GenAI, within its charging solution to deliver significant business outcomes for telecommunication providers. By integrating GenAI, they can move beyond traditional charging models to achieve dynamic monetization, enhanced customer experience, and substantial operational efficiencies. This is underpinned by a strong focus on reliability and robust governance frameworks, crucial for delivering trusted and effective business outcomes within the context of AI-native networks.
We are transforming NCC through intelligent automation and predictive capabilities, focusing on key areas including product simplification, accelerating Time-to-Market, and enabling teams to shift from low level domain specific tasks to business outcomes.
From rules-based to generative charging systems
Charging continues to evolve as the strategic core of monetization, driven by the need for real-time capabilities, increased openness, and dynamic customer demands, with GenAI set to redefine service design and delivery. This shift from traditional rules-based charging systems to generative charging systems represents a fundamental evolution in service creation, moving from static, predefined logic to dynamic, intelligent orchestration of new services. While traditional systems rely on pre-configured charging rules based on fixed parameters, GenAI charging systems go beyond this by actively generating highly personalized offers, innovative pricing models, and deep monetization insights in real-time. This is achieved through its ability to understand complex data patterns and predict customer behavior. A key differentiator is natural language interaction, which allows operators to query and manage charging logic using conversational language, significantly simplifying operations. Furthermore, GenAI's continuous learning and adaptation capabilities ensure that the system constantly refines its strategies, optimizing revenue and customer satisfaction as market conditions and usage patterns evolve.
GenAI use cases in charging
We are integrating GenAI within NCC to unlock new possibilities, including:
- Optimized offer creation and test automation: GenAI assists in the creation of new tariff and bundle ideas, and logic flows through conversational prompts, transforming business intent into charging configurations and quality-assured offers.
- Simplified Management: AI-powered tools simplify system configuration, troubleshooting, and maintenance, making charging operations faster and simpler for your teams.
Intelligent offer creation: ensuring reliability and governance with GenAI
GenAI-optimized offer creation significantly accelerates time-to-market and reduces operational costs by automating and streamlining complex offer configurations. We do this by leveraging an ontology-based GenAI solution to interpret human text input and semantically evaluate complex offer configurations. This leads to deterministic, high-quality outcomes. It automates the process by:
- Streamlining configuration: Automatically populating missing details with default values and suggesting/verifying component accuracy, drastically reducing manual effort and potential errors.
- Agentic AI Architecture: Built on an Agentic AI architecture, it provides autonomous, goal-driven offer management guided by an intelligent ontology and configurable business rules.
- Human-in-the-Loop: A "human in the loop" principle ensures oversight, allowing users to review and easily override draft bundles, with explicit confirmation required for defined changes.
- Robust governance: Strong Agent Governance and Security measures, including access control, input guardrails, and restricted agent access, ensure trust, ethical use, and prevent misuse.
- Seamless Deployment: The system outputs a structured JSON file, seamlessly integrates it into the Service Manager (SM) for efficient deployment, with agent-generated entity schemas validated to ensure predictable AI behavior and reliable bundle outcomes.
Our approach enables operators to rapidly design, validate, and launch new, complex offers by automating configuration, reducing manual errors, greatly enhancing validation, and streamlining deployment. This agility translates into first-mover advantage and faster revenue generation, enabling them to respond more quickly to market demands and introduce innovative services.
The GenAI transformation
The evolution of the charging system moves beyond static rules to dynamic, intelligent systems capable of generating personalized offers and insights through natural language and continuous learning. Nokia is leading this advancement through integrating GenAI into NCC to enhance efficiency, agility, and cost-effectiveness. Optimized offer creation, powered by an Agentic AI architecture with human oversight and robust security, exemplifies this advancement. Ultimately, GenAI represents a foundational change, redefining telecom monetization and ensuring adaptability in a dynamic digital landscape.
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