Banks, card issuers, and payment providers are under constant pressure to resolve customer issues faster while keeping operational costs under control. Whether it is a disputed charge, a suspicious transaction, or a declined payment, service teams often need to manually review requests, identify the problem, and route cases to the right internal team. This process can be slow, resource-intensive, and frustrating for customers waiting for answers.

AI inference is changing that.

A new use case powered by Vultr, Baseten, and NVIDIA Nemotron 3 Nano demonstrates how financial institutions can automate the classification and routing of card and payment service requests in near real time.

Smarter triage for payment service requests

Customer inquiries about payments often arrive through multiple channels, including chat, email, and support tickets. Determining the intent behind each request and identifying the relevant transaction details can take valuable time.

With AI-powered triage, these requests can be processed automatically.

An AI inference service running on Vultr analyzes incoming requests, detects the customer’s intent, extracts key transaction data, and routes the case to the appropriate operational workflow. This could include fraud investigation, dispute resolution, or payment operations.

Instead of manual review, requests are classified and sent to the right team within seconds.

How the AI Triage Agent works

The Card and Payments Triage Agent runs on Vultr cloud infrastructure with NVIDIA GPUs and is deployed using Baseten to serve the model in production.

The system leverages NVIDIA Nemotron 3 Nano, a compact yet powerful language model optimized for efficient inference. Together, this stack enables financial institutions to run AI-driven support workflows with the performance and reliability required for real-world banking environments.

Key capabilities include:

• Intent detection to determine the type of payment issue being reported
• Transaction data extraction from customer messages or support requests
• Automated case routing into fraud, disputes, or payments operations workflows
• Near real-time inference for faster response and resolution times

By automating the triage process, support teams can focus on resolving issues rather than sorting through them.

Benefits for banks and payment providers

AI-powered triage can deliver immediate operational improvements across financial service organizations.

Faster resolution times

Requests are classified and routed instantly, helping teams respond more quickly to customer issues.

Improved customer experience

Customers receive faster support and fewer delays while their cases are transferred between teams.

Lower operational costs

Automation reduces the amount of manual work required to triage service requests.

Scalable AI infrastructure

Vultr Cloud GPUs enable organizations to deploy and scale AI inference globally while maintaining consistent performance.

See the architecture in action

This use case shows how organizations can combine Vultr, Baseten, and NVIDIA Nemotron 3 Nano to build a production-ready AI inference service for payment operations.

It provides a practical blueprint for financial institutions looking to modernize their support workflows with AI while maintaining speed, efficiency, and scalability.

Download the use case to learn how the Card and Payments Triage Agent works and how you can implement similar AI-powered workflows in your organization.