Trust Fintech’s AI models and solutions help banks improve efficiency, ensure security, and enhance customer experiences. By automating tasks such as data capture, data analysis, and fraud detection, these AI solutions significantly reduce operational costs while requiring fewer resources and less time.
AI-driven chatbots can provide 24/7 product sales, customer onboarding, and customer support. The ML (machine learning) algorithms analyze customer information to personalize customer services and possibly detect unusual transactions based on customer behavior patterns, thus improving security. The RPA (Robotic Process Automation) solutions perform routine human digital tasks to eliminate time-intensive and error-prone work in data capture, backups, report generation, auto-mailing to customers, etc.
Artificial Intelligence solutions are a significant transformation in the banking industry. The futuristic collaboration of AI and blockchain technology has the potential to reshape the way BFSI organizations operate. Therefore, customers may receive alerts related to credit facilities, remote transaction locations, various system logins, investment advice, and tax-saving strategies, all of which could be the result of AI solutions operating in the background to enhance and secure their banking experience.
Trust Fintech’s AI solutions surpass human abilities and have proven to be accurate and fast in the following areas:
Fraud Detection
AI-powered models analyze historical data to proactively alert banks to potential fraud attempts and fraudulent transactions. AI-driven identity verification solutions enhance KYC processes, verifying identities and mitigating the threat of identity fraud.
Chatbots
Trust Fintech’s AI-based chatbots facilitate customer conversations and act as virtual assistants, providing real-time support. These chatbots offer quick, knowledgeable responses and personalized assistance, enhancing customer interactions.
Loan and Credit Decisions
Lending AI solutions analyze large volumes of data to determine borrowing patterns. In credit scoring, Gen-AI assesses creditworthiness and accuracy and makes real-time lending decisions. The efficiency results in a lower TAT and a lower processing cost per loan application.
Data Collection and Analysis
The ML and Gen-AI algorithms make quick and accurate decisions by analyzing transactional history, income, assets, work experience, and behavior to generate a scorecard. It can increase credit access for previously unattended people while reducing bank NPA risk.
Robotic Process Automation
RPA uses advanced business process automation tools to automate many repetitive tasks while exponentially increasing efficiency. RPA is effectively implemented in routine data capture, processing, and submission processes, viz., customer onboarding, regulatory compliance, card processing, KYC, AR/AAP, account closures, fraud detection, etc.
Customer Experience
AI solutions in banking increase accuracy to 99%, reduce human errors, and bring down the processing time to days, not weeks or months. The AI-based customer interactions, combined with the online self-service channels, allow customers to schedule interactions at their convenience, resulting in higher customer satisfaction and bank loyalty.
