Use Case

Autonomous Billing: the intelligent evolution of the billing cycle

ABSTRACT
The increase in complexity of Meter to Cash processes requires a new automation paradigm Neta Billing enables an Autonomous Billing model capable of autonomously managing the entire end-to-end billing cycle.

Where: italy
Mission
Reduce human oversight of the invoicing process, while ensuring quality, control and business continuity, through an autonomous model that prevents errors, optimizes issuance times and improves company cash flow.
Solution
The solution allows you to configure events, rules and KPIs for each phase of the cycle, monitor progress through dedicated dashboards and receive automatic notifications on the results of the main phases. Operators intervene only on exceptions, maintaining full control of the process.
Actions
Neta Billing introduces an event-based Autonomous Billing process, pre-issuance controls and target KPIs that automatically govern the entire billing lifecycle. The system verifies the invoiceability of supplies in advance, applies heuristic and AI-based checks on the adequacy of the data and automatically chains all the phases: selection of supplies, trial invoicing, validation, issuance, printing and electronic invoicing. KPIs with blocking or informative thresholds determine the progress or suspension of the process, ensuring quality and traceability without continuous manual intervention.
Expected results

 

 

 

 

Reduction of up to 40% in invoice issuing times

 

 

Improved quality of the billing process, with a decrease in errors

 

 

Cash flow optimization, with more punctual issuance

 

 

Reduced back office operating costs and less human oversight

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.