Exploring Now Assist for Financial Services Operations (FSO)
With the Now Assist for Financial Services Operations (FSO) application, use AI skills and agentic AI to summarize case and customer details, enhance disputes intake with Disputes intake via Virtual Agent, and leverage agentic workflows and AI agents to automate dispute resolution.
Overview of Now Assist for Financial Services Operations (FSO)
- Summarize the details of a case for an insurance claim or a card dispute.
- Use a Virtual Agent chatbot as part of the customer dispute intake flow. Card network and issuer policies are integrated in the chatbot conversation. Information on the dispute is gathered and inferred from the customer's responses and populated in case form fields.
- Use agentic AI to assist dispute agents in handling transactions that are flagged as friendly fraud. The AI agent leverages the results from a friendly fraud detection tool to generate recommendations the appropriate action. If the transaction is rejected, it also helps draft a rationale to explain the decision to the end user.
- Use AI agents and AI skills to support customer front-office interactions, and to discover customer insights.
Skills
The Now Assist for Financial Services Operations (FSO) includes the following skills.
- Case summarization
- Provides an agent with a summary of an insurance claim case or card dispute case, including the issue and the actions taken. An agent can generate a summary of a case to understand the case context. They can refresh the
summary so that it includes the latest updates to the case, and post the summary to the case work notes.The generated case summary displays in the following areas:
- Insurance: Next to the claim details panel in the claim summary page, claim workspace, and claim details page
- Banking: Between the activities and case information panel
The summary includes the information that the agent enters in the case record fields that are listed in the following table.Tabela 1. Case skill description and record fields Industry Skill description Record fields Insurance Provides a customized skill that is configured with a series of related tables for claims cases. The directions address a wide range of claims cases for all lines of business. Summarization is available at the base case level. - Incident description
- Incident location
- Incident date
- Nature of loss
- Stage
- Assigned to
- Insurance policy
- Total claim amount
Banking Provides a customized skill that is configured with a series of related tables for card dispute cases. The directions cover a range of card dispute cases across various categories. - Short description
- Created
- Assigned to
- Stage
- Dispute amount
- Card network
- Category
- Reason code
- Consumer
- Account
- Service
- Product
- Customer profile summarization
- Provides a customer service representative (CSR) with a concise, comprehensive summary of particular customer. It combines customer data, owned products, and recent history to produce an overview for the CSR to better
understand a customer's standing with the bank.The summary includes the following information:
- Owned active products
- Recent transactions
- Interaction history
- Cases
The generated customer summary displays in the Customer 360 workspace as part of Agentic Contact Center for Banking.
- Customer context summarization
- Provides a CSR with a call-contextual customer summary on the Interaction workspace. This is generated when a call is assigned to a CSR. The summary focuses on the context of the incoming call, providing the CSR with a
snapshot of the customer's situation and sentiment when the call begins.The summary includes the following information:
- Customer profile, with an overview of the customer and a suggestion on the nature of the call
- Recent activities
- Products and services that the customer has
The generated context summary displays in the Interaction workspace as part of Agentic Contact Center for Banking.
- Disputes intake via Virtual Agent
- Disputes intake via Virtual Agent enhances the customer experience by performing dispute intake with a chat bot. This can streamline the card dispute submission process for customers, and reduce workloads for live
agents.
The following figure shows the interaction between the Virtual Agent topic, the form data collector application, and Now LLM.
- The Disputes intake via Virtual Agent topic contains the logic of creating a dispute case and filling out the dispute questionnaire based on the conversation. If the answer cannot be determined from the chat responses, it will present a question in a clear and easy-to-understand way to the user. For more information, see Customize the Virtual Agent topic in Disputes intake via Virtual Agent.
- The form data collector takes the table name and view name as an input, and goes through each question on the form. While iterating over the questions, it asks Now LLM if the question is answered based on the chat history. If it is answered, it moves on to the next question. For more information, see Form Data Collector.
- Now LLM helps to infer answers from customer responses to proactively fill out fields in the record, and rephrases questions from the dispute questionnaire.
Nota:Certain questions will not infer answers from Now LLM to ensure that the correct dispute category and reason code are determined from the conversation. See Bypassed questions from LLM processing for more information.
Now Assist panel in Financial Services Workspace
- Case summarization
- Conversational interaction for dispute resolution
- Interacting with AI agents during interactions or customer analysis
For more information about the Now Assist panel, see .
Sensitive data handling
Personally identifiable information and other sensitive data can be masked so that it doesn't appear in generative AI prompts. Placeholder text is sent with the prompt instead, and that placeholder text is replaced with the original text after the response has been received. This two-way masking ensures that your users see the correct values, but the Now LLM Service isn't exposed to any sensitive information. For more information, see .