Use Case

Neta Costumer Gate: digital counter enhanced by AI agents

ABSTRACT
The adoption of AI Agents on the Neta Customer Gate module simplifies customer interaction, improving service quality and reducing operational burden.

Where: italy
Mission
Enhance the digital counter with AI agents capable of assisting the customer in a continuous, personalized and traceable way, reducing the complexity of operations and ensuring a fluid, compliant and always available experience.
Solution
The solution enables natural conversational interactions, automatic document analysis, contextual support for operations and continuous monitoring of consumption. AI agents perform actions on systems, retrieve data from multiple sources, and track every interaction, reducing errors and handling time.
Actions
Within Neta Customer Gate, a family of vertical AI Agents operates in an integrated way to support customer management processes. Smart Compliance & Document Reader automatically interprets bills, contracts and forms, extracting and validating relevant data. The Personal Sustainability Assistant analyzes consumption, reports anomalies, predicts future spending and suggests optimization actions. The AI Customer Copilot accompanies the customer step by step in digital counter operations, understanding text or voice requests, guiding the compilation of paperwork and ensuring continuity even in the event of escalation to a human operator.
Expected results

 

 

 

 

Greater customer autonomy in over the counter operations

 

 

Improved data quality and compliance, and reduction of errors in paperworks

 

 

Increased awareness of consumption

 

 

Smoother, more guided customer experience

Markets
Ecosystems

Impacts

Technologies

To know more
Research Project

TEMA – Accurate Mapping and Forecasting for Emergency Management

Advanced Technologies and Tools for Natural Disaster Management (NDM)

ARIEN: an AI platform to support the fight against illegal drug trafficking

A holistic approach based on artificial intelligence tools for monitoring the production and illegal trafficking of drugs.

Research Project

QLMD: Quantum Computing for an efficient urban logistical ecosystem

Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.