Elementor #3366
Who are we
The IAAC Research Group (Intelligent Accounting Automation Challenges) is formed by members of the Department of Financial Economics and Accounting led by Professor Isabel María Martínez Conesa of the University of Murcia and the Zambudio Group (AUNNA Company).
IAAC counts on the academic knowledge of the different members of the University of Murcia as well as the experience in automation development (RPA) and products of AUNNA. This pooling results in a research and transfer team with extensive experience in developing research projects in the financial and Artificial Intelligence area, as well as implementation of RPA applications in industry.
Core skills
TECNOLOGÍA
FINANCIAL AUDIT
Use of RPA and AI for intelligent financial audit management.
WAREHOUSE AUDIT
Use of AI and Blockchain for logistics and warehouse tasks.
ARTIFICIAL INTELLIGENCE
Use of the most effective machine learning and predictive algorithms.
AUTOMATION
Process automation tools (RPA) and integration with the management tools.
PORT AUDIT
With the aim of contributing to the Port Authorities to comply with the current regulations and legislation in a safe and transparent way, the IAAC Transfer Challenges group of the University of Murcia has been researching in recent years in the analysis and automation models of the new financial audit regulations and as a result has a theoretical and technical prototype of revenue automation of innovative character, on which it is understood necessary to advance in the development of an applied model that allows its verification, as well as the validation of the objectives that are intended.
WAREHOUSE AUDIT
The problems that arise from the management of multiple warehouses in terms of management and traceability of the movement of materials are well known. From the group IAAC Transfer Challenges is working on management algorithms that help to measure, evaluate and optimize warehouse management systems and transport of goods within organizations. Among other advantages, it allows tracking of materials, traceability and stock forecasts.
The increasing development of robotics and artificial intelligence (hereafter AI) is inevitably changing the way business is done. The audit business is not going to be an exception.
Recent fraud and bankruptcy cases show us that the traditional audit is not providing the necessary assurance, nor has it ensured the quality of financial information. These limitations in audit frequency and quality may be due, in part, to the manual nature of traditional procedures that are labor-intensive and time-consuming.
An audit involves performing procedures to obtain reasonable and sufficient evidence about the amounts and disclosures in the financial statements. The procedures selected are intended to assess the risk of material misstatement in the financial statements. In making those risk assessments, the auditor considers internal control relevant to the manager’s preparation and fair presentation of the financial statements in order to design audit procedures that are appropriate. The existence of manual traces in the flows leads to breaks in traceability that raise doubts about the quality of internal control and therefore call into question the correctness of the reported income: risk of material misstatement.
New technology always brings new business opportunities. If 94% percent of current accountants’ and auditors’ jobs are susceptible to automation in the next ten years (Frey & Osborne, 2013), we will help companies to take advantage of these technologies and become more truthful, effective and efficient. It is not easy to explain why, prototypes related to intelligent automation of Corporate Accounting and Auditing are in their infancy. The availability of this technology will provide an important competitive advantage.
The prototypes developed in the research work of Universities and companies related to local RPA and AI are little known, which requires a major effort to make us known, to explain the potential we offer to automate the entry of paper invoices to ERP, or the figure of an audit robot software that will allow crosses digitized data and provide information security.
IAAC has the academic knowledge of the different members of the University of Murcia, as well as the experience in automation development (RPA) and products of AUNNA (Zambudio Group). This pooling results in a research and transfer team with extensive experience in developing research projects in the financial area and Artificial Intelligence, as well as implementation of RPA applications in industry.