Decentralized Autonomous Organizations for Tax Credit's Tracking

TL;DR

This paper proposes a decentralized autonomous organization system with multi-agent controllers to improve tracking and control of tax credit processes, aiming to reduce fraud and enhance transparency in Italy.

Contribution

It introduces a novel decentralized architecture integrating multi-agent systems for comprehensive tax credit management and fraud prevention.

Findings

Design of a decentralized system architecture

Implementation of multi-agent controllers for process management

Potential reduction in tax credit frauds

Abstract

Tax credit stimulus and fiscal bonuses had a very important impact on Italian economy in the last decade. Along with a huge expansion in constructions a relevant increase in scams and frauds has come too. The aim of this article is to design a possible system to track and control the whole tax credit process from its generation to its redeem through a Decentralized Autonomous Organization architecture enriched with a Multi Agent Systems to implement controllers.