What is the main purpose of Cascading AI?
Cascading AI's main purpose is to automate manual banking processes through advanced AI capabilities. It provides solutions for document collection for various procedures and offers customer service support while also featuring back-office automation capabilities.
How does Cascading AI help with document collection for loan applications?
Cascading AI assists with document collection for loan applications by using AI agents that interact with customers via text, email, or phone calls. These AI agents collect necessary documents like pay stubs, bank statements, tax returns, and certificates of good standing.
What role does the AI agent of Cascading AI play in customer interaction?
The AI agent in Cascading AI is in charge of customer interactions through various modes of communication like text, email, or phone calls to collect necessary documents for different procedures. The AI agent is also capable of analyzing these documents and following up with clients to resolve discrepancies.
How does Cascading AI facilitate document analysis?
Cascading AI facilitates document analysis through its AI agent. The agent gathers necessary business or personal documents from customers, analyzes them for accuracy and relevance, and can follow up with clients to resolve any issues it finds during this analysis.
In what ways can Cascading AI enhance customer service support?
Cascading AI can enhance customer service support through AI agents that cluster customer complaints to understand areas of concern. These AI agents then generate responses based on information from the bank's policies and systems. This can improve the speed of responses and potentially increase customer satisfaction while decreasing customer support costs.
How does Cascading AI cluster customer complaints?
Cascading AI clusters customer complaints through its AI agents. These AI agents analyze the nature and context of the complaints to identify patterns and common areas of concern, allowing the business to respond effectively and improve customer satisfaction.
How does Cascading AI decrease customer support costs?
Cascading AI decreases customer support costs by implementing AI agents that analyze and respond to customer complaints based on the bank's policies and systems. This rapid, automated response system can decrease the time and human resources previously required for customer service, thus reducing costs.
How is Cascading AI used in back-office automation?
Cascading AI can be used in back-office automation for tasks such as payments exception handling and securities settlement. Its AI agent navigates core banking systems to collect information and make recommendations. It can also analyze exceptions that rules-based bots might struggle with, increasing STP rates and decreasing manual efforts.
What tasks can the AI agent accomplish in terms of payments exception handling and securities settlement?
The AI agent in Cascading AI can perform tasks such as payments exception handling and securities settlement in back-office automation. The agent navigates through the core banking systems, gathers pertinent information, and makes necessary recommendations to improve efficiency.
How does Cascading AI handle non-STP exceptions?
Cascading AI handles non-STP exceptions by deploying its AI agent to analyze and address these exceptions. As a result, it increases STP rates and cuts down on manual labor in the back-office.
How does Cascading AI increase STP rates?
Cascading AI increases STP rates through its AI agent's ability to handle and resolve non-STP exceptions that rules-based bots might have difficulties with. This improves process efficiency and reduces manual efforts.
In what ways can Cascading AI integrate with existing banking systems?
Cascading AI can integrate with existing banking systems because it works with globally leading core banking systems and technology providers, eliminating the need for building custom interfaces and infrastructure.
Does Cascading AI require building custom interfaces and infrastructure?
No, Cascading AI does not require building custom interfaces and infrastructure. It works congenially with globally leading core banking systems and technology providers, saving banks from the effort and time needed to build custom infrastructure.
How can one start using Cascading AI?
One can start using Cascading AI by joining the waitlist provided on their website. After submitting the necessary details, such as name and work email, one could potentially start exploring the tool's capabilities.
What kind of organizations and talent support Cascading AI?
Cascading AI is supported by top Silicon Valley investors and brings top engineering talent from Stanford University, making it a highly credible and reliable tool for financial institutions.
How can one join the waitlist to explore the potential of Cascading AI?
One can join the waitlist to explore the potentials of Cascading AI by providing their name and work email on the waitlist submission form on their website.
How does Cascading AI aims to unlock value of advancedAI for global banks?
Cascading AI aims to unlock the value of advanced AI for global banks by automating manual banking processes, improving customer service, and enhancing back-office operations. This gives banks the opportunity to streamline their operations and scale without a proportionate increase in costs.
What types of documents can this AI help collect?
Cascading AI can help collect various documents required for banking processes such as pay stubs, bank statements, tax returns, and certificates of good standing.
Who are Cascading AI's primary users?
Cascading AI's primary users are financial institutions that are looking to automate their banking processes, improve customer service, and enhance their back-office operations.
How can Cascading AI increase conversion rates compared to traditional workflows?
Cascading AI can increase conversion rates compared to traditional workflows by automating document collection and follow-ups with customers. This can save hours usually spent on the phone or email chasing after customers and reduce discrepancies, hence improving the overall conversion rate and efficiency.