GenAI Intelligent Assistant

GenAI Intelligent Assistant is a conversational interface. Leveraging Google Vertex AI and the core banking engine developed by Thought Machine, this offering has been designed to implement the next generation of interfaces for retail banking.
 

One such use case utilises the capabilities of advanced AI Large Language Models (LLMs), allowing the user to flexibly phrase questions, provide category prediction, determine query type interface, understand the intent of the user, and generates a meaningful response.
 

This use case can reduce a bank’s operating costs by providing customers with a new way of requesting services and managing their finances.

Banks have a high number of staff performing online bank assistant duties. A lot of these activities are redundant and repetitive. There is a need to increase the efficiency of customer service teams by freeing them from routine call / chat handling to focus on tasks that add more value.
 

Banks also need to drive operational cost savings, in order to reinvest in transformation-led initiatives that will enable them to drive customer acquisition and retention.
 

There is an increasing focus to significantly improve the customer experience compared to traditional AI-based chatbots, delivering more personalised and trusted support.

Decodes the intent of the user query using a call to a LLM.

LLMs have been used to generalise or specialise categories to determine item relevance.

LLMs have been used to determine what type of query will produce the answer the user is looking for.

Once the user intent and types of item they are interested in are known, the inference of what the user is asking for is established.

Disocver how our GenAI Intelligent Assistant is a conversational interface. Leveraging Google Vertex AI and the core banking engine developed by Thought Machine, this offering has been designed to implement the next generation of interfaces for retail banking.