###### Abstract  
Regulatory Technology (RegTech) is an emerging set of computing and network-based information systems and practices intended to enhance and improve regulatory compliance processes. Such technologies rely on collecting exclusive information from the environment and humans through automated Internet of Things (IoT) sensors and self-reported data. The key enablers of RegTech are the increased capabilities and reduced cost of IoT and Artificial Intelligence (AI) technologies. This article focuses on a survey of RegTech, highlighting the recent developments in various sectors. This work identifies the characteristics of existing implementations of RegTech applications in the financial industry. It examines the critical features that non-financial industries such as agriculture must address when using such technologies. We investigate the suitability of existing technologies applied in financial sectors to other industries and the potential gaps to be filled between them in terms of designing information systems for regulatory frameworks. This includes identifying specific operational parameters that are key differences between the financial and non-financial sectors that can be supported with IoT and AI technologies. These can be used by both producers of goods and services and _regulators_ who need an affordable and efficient supervision method for managing relevant organizations. regulatory technologies; RegTech; internet of things; IIoT; machine learning; artificial intelligence +
Footnote †: journal: Future Internet  
Supervisory technology (SupTech) has also been proposed from the perspective of the supervisory entity [4]. The significantly increased regulations after the last global financial crisis have driven financial institutions like banks to optimize workflow efficiency and challenge the supervisory processes that mainly rely on manual operations [5]. Financial institutions can enormously improve their internal processing speed to comply with policies and regulations by adopting regulatory technologies, which force the corresponding financial regulators or supervisors to take advantage of the supervisory technologies to keep the same pace as required. RegTech and SupTech have different focuses, whereas the former is concentrated on assisting companies and the latter spotlights enhancing supervision from the supervisor's viewpoint. RegTech is a tool for enterprises to prove what they performed, while SupTech is used to evaluate and verify their behaviors. The key mediator that links them is the data collected and reported by one while being received and verified by the other. SupTech and RegTech belong to the family of compliance technologies as they share the same target of making the products or services qualified to meet compliance requirements and regulations. A failure in either the _reporting of data_ or its _verification_ will risk the whole compliance process, which must be integrated. In this paper, we refer to a broad scope of RegTech, as shown in Figure 1, when discussing RegTech from the perspective of compliance, which is the destination of all efforts. In short, the rapid development of compliance in all sectors relies on the joint efforts of all stakeholders. In addition, by examining the characteristics and challenges of the various industries, this paper recommends an _integrated framework_ of RegTech infrastructure that potentially suits _non-financial_ enterprises more, strengthening the workflow and importance of data treatment as well as decision-making by taking advantage of various advanced and developed technologies. In discussing the proposed compliance system framework, both supervisory and producer roles are considered. By comparing the features of different sectors in using technologies, the Industrial Internet of Things (IIoT) is identified as one of the key differences between the financial area and the other fields in terms of data collection. In contrast to others, the financial RegTech system has negligible field data to collect.