Posts by Samriddhi Sharma

The concept of agentic AI in banking may be described as the systems or computer program that are capable of making multi-step decisions and carrying out work without a lot of human supervision. Such intelligent agents can feel information, reason, plan and make decisions to acquire a goal. In banking, agentic AI does not only…

The financial services industry is experiencing one of the most significant changes in decades and at the forefront of this revolution is AI automation for financial services​. From streamlining back-end operations to improving fraud detection and customer engagement, AI automation for financial services is transforming how banks, insurers, and fintech companies operate in a digital-first…

Financial ecosystems rapidly evolve and involve the use of AI in credit scoring​. Formal and traditional credit score models that apply little historical data and strict models are unlikely to offer the actual credit quality of a borrower. However, Artificial Intelligence (AI) is breaking down these barriers, and the credit rating system is more intelligent,…

In the recent job market, where competition is huge, fast and accurate hiring is a characteristic of successful hiring. Recruitment agencies are continuously pressuring themselves to find, appraise, and place the best talent with quality and fairness. This is where AI automation for recruitment company is becoming a life-changer for firms. By using artificial intelligence…

The logistics sector has been the main pillar of world trade, and the efficient movement of goods between manufacturers and consumers. However, as the need to be faster, more precise, and to optimize cost becomes more urgent, the traditional logistics processes are no longer sufficient. This is where AI automation for logistics companies​ comes into…

Debt collection has been regarded as one of the most difficult, resource-consuming, and compliance-based activities in the financial services industry. Human agents, manual workflow, and outdated systems have been used as the base of debt recovery to manage the problems of late payment and customer relations. However, there is a paradigm shift in the debt…