Inspiration
High-volume payment platforms face immense operational friction processing transaction disputes manually, causing support teams to waste valuable hours reviewing straightforward low-risk cases instead of resolving critical issues.
What it does
An autonomous AI triage agent that ingests incoming transaction dispute payloads, evaluates risk factors, and instantly categorizes cases into auto_resolve, escalate_fraud, or needs_review, returning strict JSON outputs.
How we built it
Built using Relevance AI to configure the core system prompts, execution logic, and structured JSON schema validation layers for seamless downstream data routing.
Challenges we ran into
Balancing flexibility with strict schema enforcement to ensure the agent never breaks conversational character and always returns clean, machine-readable JSON actions.
Accomplishments that we're proud of
Successfully deploying a fully functional low-code triage engine that handles risk assessment and automated decision-making without manual intervention.
What we learned
Rigorous prompt structuring and explicit schema definitions are critical when building reliable autonomous agents for financial workflows.
What's next for PayPal Fraud & Dispute Triage Agent
Integrating live webhook endpoints and expanding downstream action workflows to execute automated refunds and security escalations natively.
Built With
- artificialintelligence
- json
- no-code
- relevance-ai
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