Banking 2023-08-10
Cascading icon

Cascading

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Automated banking operations and customer support.
Generated by ChatGPT

Cascading AI is a tool that aims to automate manual banking processes using advanced AI capabilities. Specifically, it offers a solution for document collection needed for loan applications, account opening, Know Your Customer (KYC)/Know Your Business (KYB) procedures, and more.

The tool allows AI agents to communicate with customers through text, email, or phone calls, collecting necessary documents such as pay stubs, bank statements, tax returns, and certificates of good standing.

It also facilitates document analysis and follows up with clients to resolve any discrepancies, potentially increasing conversion rates while saving time previously spent on manual customer communication.Additionally, Cascading AI provides customer service support by leveraging AI agents to cluster customer complaints, understand areas of concern, and generate responses based on bank policies and information stored in the bank's systems.

This can lead to improved customer satisfaction through rapid responses and a decrease in customer support costs.Furthermore, the tool offers back-office automation capabilities for tasks like payments exception handling and securities settlement.

Its AI agent can navigate core banking systems, gather information, and make recommendations. It can also analyze non-STP (Straight-Through Processing) exceptions that rules-based bots may struggle with.

This can increase STP rates and reduce manual efforts in the back-office.Cascading AI works with leading core banking systems and technology providers, eliminating the need for building custom interfaces and infrastructure from scratch.

The company has solid funding, strong connections to Silicon Valley, and brings top talent from Stanford University. It offers a waitlist for those interested in exploring the tool's potential for various AI use cases across different banking functions.

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Cascading was manually vetted by our editorial team and was first featured on August 10th 2023.
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Pros and Cons

Pros

Automates banking operations
Automated customer support
Facilitates document collection
Effective communication with clients
Resolves document discrepancies
Potentially increases conversion rates
Saves time on customer communication
Clusters customer complaints
Generates response based on policies
Improves customer satisfaction
Reduces customer support costs
Offers back-office automation
Handles payments exception
Handles securities settlement
Navigates core banking systems
Makes recommendations
Handles non-STP exceptions
Increases STP rates
Reduces manual effort
Compatible with leading banking systems
Eliminates need for custom interfaces
Strong connections to Silicon Valley
Top talent from Stanford University
Solid funding
Offers comprehensive ML platform
Single solution for data analysis
Streamlines operations
Maximizes results
Can automate all banking functions

Cons

No real-time support
Limited to text, phone, and email communication
Dependency on core banking systems
Lacks customizability
Relies on human-in-the-loop
No specific cybersecurity measures mentioned
No mention of handling multi-language support
Dependent on quality of bank's data
Waitlist required to use
No stated support for third-party integrations

Q&A

What is the main purpose of Cascading AI?
How does Cascading AI help with document collection for loan applications?
What role does the AI agent of Cascading AI play in customer interaction?
How does Cascading AI facilitate document analysis?
In what ways can Cascading AI enhance customer service support?
How does Cascading AI cluster customer complaints?
How does Cascading AI decrease customer support costs?
How is Cascading AI used in back-office automation?
What tasks can the AI agent accomplish in terms of payments exception handling and securities settlement?
How does Cascading AI handle non-STP exceptions?
How does Cascading AI increase STP rates?
In what ways can Cascading AI integrate with existing banking systems?
Does Cascading AI require building custom interfaces and infrastructure?
How can one start using Cascading AI?
What kind of organizations and talent support Cascading AI?
How can one join the waitlist to explore the potential of Cascading AI?
How does Cascading AI aims to unlock value of advancedAI for global banks?
What types of documents can this AI help collect?
Who are Cascading AI's primary users?
How can Cascading AI increase conversion rates compared to traditional workflows?

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