Build Your Fraud Detection AI Agent
Risk and compliance teams use Jinba Flow to build custom fraud detection AI agents with a visual editor, then deploy them as secure APIs with full audit trails and enterprise controls.
Build a fraud detection AI agent workflow for a risk or compliance team at a Fortune 500 financial institution. When a transaction or case is flagged, enrich it with account history and known fraud signals. Route it based on risk score: low-risk cases are auto-cleared, medium-risk go to a fraud analyst for review, and high-risk cases require a compliance officer sign-off. Anything involving repeat offender patterns must also trigger a regulatory alert. Log every decision with a full audit trail for compliance reporting.
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A Custom Fraud Detection AI Agent Built for Enterprise Governance
Jinba's SOC II compliant platform lets risk and compliance teams build fraud detection AI agents that reflect their actual policies, thresholds, and escalation paths. With Jinba Flow's chat-to-flow generation and visual editor, teams can encode fraud rules and deploy them as governed, reusable workflows without writing custom services from scratch.
- Describe your fraud detection logic in natural language and refine it in a visual flowchart editor, setting risk thresholds, routing rules, and escalation paths specific to your organization
- Configure conditional routing based on risk scores, transaction patterns, or flagged attributes, with separate paths for low-risk auto-clearance, analyst review, and compliance officer escalation
- Automatically enrich flagged cases with account history, transaction context, and external signals from connected systems before any human review begins
- Maintain a complete, timestamped audit log of every detection decision, analyst action, and escalation event for regulatory reporting and internal compliance verification
How Jinba Powers Fraud Detection AI Agent Workflows
Describe your fraud detection process in natural language, for example: flag transactions above a risk threshold, enrich with account data, route by score. Jinba generates a workflow draft you refine in a visual editor.
Publish the fraud detection workflow as a secure API or MCP server. Enterprise controls including SSO, RBAC, SOC II compliance, and private hosting keep sensitive data within your environment.
Fraud analysts and compliance officers interact with flagged cases through Jinba App using chat or auto-generated review forms. Every action is logged and access is governed by role-based controls.
Enterprise Ready
Control, security, and support for large organizations.
Advanced access control
Role-based permissions and SSO integration.
Organization management
Spaces, roles, and approvals for your team.
Dedicated Engineer Support
Work side-by-side with our engineers to remove blockers and accelerate your workflow development.
On-premises or private cloud hosting
Run Jinba in your own environment with full data control.
Advanced access control
Role-based permissions and SSO integration.
Audit logging
Complete compliance and security oversight tracking.
Organization management
Spaces, roles, and approvals for your team.
Pre-built & custom integrations
100+ pre-built integrations plus custom connectors for your internal systems.
Dedicated Engineer Support
Work side-by-side with our engineers to remove blockers and accelerate your workflow development.
Private model hosting
Use Bedrock, Azure AI, or your own models securely.
Build a Governed Fraud Detection AI Agent with Jinba
If your fraud detection process relies on manual reviews and disconnected tools, Jinba can turn it into a secure, auditable AI workflow your risk and compliance teams can trust.
Frequently Asked Questions
Everything you need to know about Jinba. Can't find the answer you're looking for? Reach out to our support team.
Can I define custom fraud risk thresholds and routing rules?
How does Jinba maintain an audit trail for fraud decisions?
Does the fraud detection workflow integrate with existing systems?
Who can access and execute the fraud detection workflow?
Can non-technical compliance teams use the fraud detection agent?
What deployment options are available for sensitive fraud data?
Can I build this fraud detection workflow without writing code?
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The AI layer for your entire organization.