Neurotech, a B3-listed company specialized in artificial intelligence and machine learning solutions for various segments, including credit and insurance, today announced the appointment of Phelipe Alvarez as the new Head of the Collection Business Unit. With over two decades of experience in the Financial Services sector, Alvarez joins the company with the mission to accelerate the development of new solutions and enhance existing tools.
“Our mission will be to optimize and monetize the creditors” negotiation journey, maximizing the relationship between investment and recovery," stated Alvarez. The executive highlighted that his arrival comes at an opportune yet challenging time for innovation, citing the anticipated changes in Anatel's regulations for collection companies.
A graduate in Business Administration from PUC-SP with a postgraduate degree in Marketing from ESPM, Alvarez brings extensive experience. He worked for over 15 years at Intervalor as Commercial and Marketing Director, in addition to previous roles at companies such as Arvato and Contax.
One of Alvarez's main challenges will be to enhance the performance of Collin, a solution developed by Neurotech based on big data and generative artificial intelligence. Collin enables creditor companies to approach debtors in an automated and personalized manner, optimizing negotiation terms and communication channels. Recently, the implementation of Collin increased credit recovery by 81% for a major financial institution in Brazil's vehicle financing sector.
Alvarez emphasizes that his focus will be on “improving collection quality.” “Enhancing collection ROI does not necessarily mean making more agreements, but rather better agreements with terms that also serve the interests of companies,” stressed the executive.
Alvarez's arrival at Neurotech reinforces the company's commitment to innovating and leading the market of technological solutions for the financial sector, particularly during a period of regulatory and technological transformations in the collection segment.
