Collectors are flooded with numerous emails daily, including invoice queries, payment notifications, and overdue reminders.
The system categorizes and prioritizes these emails based on urgency and content, understanding the central context of each message.
Drafts tailored responses for each email, attaching relevant documents, missing invoices or account statements, and reminders for overdue accounts.
Before sending the email, collectors review and refine auto-composed emails for a personalized touch, streamlining the response process.
As month-end approaches, users are stuck in the vicious cycle of gathering past data, making consolidated reports, and generating real-time insights.
Bypass the manual process of creating a new dashboard or applying multiple filters on the data set. An user could prompt it to show the top 5 anomalies with high risk.
FreedaGPT promptly generates summary reports, insights, and graphs within seconds for any input. Users can delve deeper into the data as needed.
Collectors often struggle to capture crucial details during customer calls, potentially missing important information. It actively processes calls and generates summaries.
After a call, FreedaGPT summarizes the meeting transcript to create a draft of the follow-up email, including the summary of the conversation and any customer requests.
FreedaGPT also recognizes any action items from the call, such as Promises to Pay and Disputes, and logs these automatically with collector approval.
HighRadius users raise a support case when they need professional assistance resolving an issue. In most cases, resolution could have been quicker via self-service channels.
Resolve common issues independently by directly prompting FreedaGPT. For instance, an admin user can ask FreedaGPT for real-time assistance with tasks like adding or creating a new user.
Eliminate the need to manually raise support cases by prompting FreedaGPT directly from your Highradius application. FreedaGPT understands the context to automatically raise a support case.
No PII (Personal Identifiable Information) Data Sent: FreedaGPT ensures that no PII (Personal Identifiable Information) data is transmitted to the LLM API during conversations.
Schema Sharing: Only the database schema of relevant views is shared with LLM to facilitate the conversation.
SQL Validation: SQL generated by LLM is thoroughly validated to ensure accuracy and compliance with data security measures.
Data Security: FreedaGPT adds an additional layer of data security by validating and enhancing the generated queries before execution. This helps prevent unauthorized access and data breaches
Execution: The validated queries are executed on a secure and scalable data platform.
Chart Generation: The results are used to generate insightful charts and visualizations that help users understand the data better.