Instant answers for customers. Full control for compliance.

AI agents are human-like virtual agents, built on conversational and generative AI, that automate customer service across chat and voice. They deliver instant, personal support in over 100 languages and integrate with enterprise systems. They come with industry-specific skills and emotional intelligence, use your service knowledge and processes, and work alongside human agents with real-time assistance, knowledge lookups, next best actions and sentiment analysis.

In banking and finance, an AI agent automates customer service tasks such as account inquiries, loan applications, fraud detection and transaction processing. It offers instant, multilingual help by chat or voice, with responses personalized from customer data and financial processes. It integrates with banking systems to pull real-time information for complex queries, and supports human agents with contextual knowledge and sentiment analysis. The result: better customer experience, shorter waits and higher efficiency, while staying compliant with industry standards and regulations.

Examples include virtual banking assistants that handle routine requests like balance checks, fund transfers and bill payments. AI agents also guide customers through loan applications, take in documents, check eligibility and give real-time status updates. They automate tasks such as password resets, credit card activation and transaction disputes, making service significantly more efficient.

It's used for customer support such as balance checks, fund transfers and transaction histories. It speeds up loan processing by guiding applicants through forms and giving real-time status updates. AI agents detect and flag potential fraud and offer quick ways to act. They also automate routine tasks like password resets, card activations and dispute resolution, cutting wait times and improving the overall experience.

Conversational AI focuses on enabling machines to understand, process, and respond to human language in a natural, context-aware manner. It often uses predefined responses and rules-based models to manage interactions, typically found in chatbots or virtual assistants. Its primary goal is to automate and streamline specific tasks like customer service or inquiries. Generative AI, on the other hand, uses advanced algorithms like large language models (LLMs) to generate new content, such as text, images, or even responses, based on the input it receives. Unlike Conversational AI, it doesn't rely on predefined scripts and can create more flexible, diverse, and human-like responses. In summary, Conversational AI is task-oriented and structured,