AI, Embedded and SaaS

Operational Efficiency and Sustainability of Utilities

Introduction: From Market Demand to Technological Solution

In a complex landscape characterized by growing data volumes and stringent regulatory requirements, the market’s new demand is clear: how to integrate AI natively into processes and products, making it an integral part of operations?

To address the complexity of this transformation, Artificial Intelligence cannot be a simple “add-on,” but must become a fundamental lever, embedded in the product. This is the strategic role played by the Neta platform.

 

Why the SaaS Model Enables Embedded AI

The Software-as-a-Service (SaaS) model is not just a delivery method: it represents the conceptual and technological infrastructure that enables the progressive and sustainable introduction of AI capabilities within digital services.

In the Energy & Utilities context, SaaS creates the ideal ground for an AI adoption that is scalable, governable, and reliable:

  • Integrated and Standardized Data: Centralization in a Data Lakehouse (combining storage and governance) feeds AI models with consistent information, enhancing decision-making and predictive accuracy.
  • Continuous Delivery: Enables the evolutionary release of AI functionalities, with rapid updates and reduced time-to-value.
  • Native Integration: The API- and microservices-based approach allows AI models to be plugged directly into core processes.

 

Neta: The Strategic Partner

The Neta platform positions itself as a strategic partner for Utilities, with a cloud-native, modular and composable approach that integrates Meter-to-Cash, Metering, Billing and Credit Management processes, ensuring scalability, interoperability, and continuous compliance.

The strength of the Neta platform lies in its ability to:

  • Transform meter data into value for companies and end customers.
  • Enable increasingly transparent and personalized billing and digital services.
  • Reduce cycle times and improve service quality.
  • Offer concrete tools for sustainability, with KPIs already aligned with ESG standards and UN SDGs.

Neta AI in Action: 4 Areas of Application

For Neta, AI is a transformative capability applied across 4 interconnected categories:

  • Standard and vertical AI Agents: Intelligent assistants trained on manuals and core processes to support operators and customers.
  • Product-Embedded AI: Machine Learning algorithms to optimize core processes such as metering, billing, credit and CRM.
  • Generative and Agentic AI: Conversational interfaces and proactive agents that enhance the customer experience.
  • AI Enabling: Capabilities to orchestrate intelligent agents across different enterprise platforms (Salesforce, SAP, Oracle), building a cooperative ecosystem enabled by Data Federation.

 

Solution Focus: MDM and Autonomous Billing, a Concrete Value Example

The concrete application of AI and data emerges in Neta's core solutions such as Meter Data Management and Billing.

A. The Value of Intelligent MDM (Electricity, Gas and Water):

Neta’s MDM solution collects, normalizes and interprets billions of data points from smart meters and IoT sensors, ensuring:

  • Greater Billing Accuracy: Reduction of estimates and adjustments thanks to automated validation of consumption data.
  • Water Loss Efficiency: Predictive models and real-time analysis enable AI to detect anomalous patterns in flows, estimating and locating leakages.
  • Customer Management Optimization: Detailed data supports profiling and tailored tariffs based on usage habits, reducing disputes.

B. AI in the Billing Process (Autonomous Billing):

Neta’s new Billing solution leverages AI to maximize automation:

  • Autonomous Billing: A pre-issuance control system, enabled by AI algorithms, prevents billing errors before they occur. Benefits are immediate: improved process quality, shorter processing times, and enhanced cash flow.
  • AI Agent for Back Office: A virtual assistant applied to business processes automates responses and reduces handling times, ensuring operational efficiency and less human intervention.

Neta and ESG Impact: Measurable KPIs

Neta’s application modules support sustainable transformation, enabling measurable and verifiable environmental, social and governance KPIs:

  • MDM Water: Supports efficient water resource management (e.g., indicator of water consumption per served population, aligned with SDG Goal 6).
  • MDM Sales: Contributes to reducing energy consumption and increasing RES adoption (e.g., KPI on “Reduction of $\text{CO}_2$ emissions per unit of energy consumed,” aligned with SDG Goal 13).
  • Energy Communities: Provides the calculation of avoided $\text{CO}_2$ emissions, promoting collaborative energy models.

 

Conclusion

For Neta, AI is a strategic lever that enriches existing products and enables new value-added services. This model offers scalability, cost reduction, and faster time-to-market.

Neta solidifies its role as an ally in digital transformation, providing not only the platform but also the conceptual and technological infrastructure to continuously evolve in a rapidly changing market.