The AI Transformation Platform for Payments Infrastructure

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Secure Agentic AI for Payment Operations and Merchant Support

StackAI helps payments infrastructure companies like Stripe deploy secure AI agents that automate support ticket resolution, streamline refund and dispute processing, enforce compliance checks against internal policies, and connect to internal knowledge bases—saving thousands of hours across operations, risk, and engineering teams.

On-premise deployment

Built-in governance and analytics

White-glove support from AI experts

Templates for payment dispute resolution, fraud detection, and merchant support automation

Governance

Multi-Layer Governance

Governance on StackAI ensures that AI agents are built and deployed safely, so enterprises can scale their AI initiatives with confidence.

Governance

Multi-Layer Governance

Governance on StackAI ensures that AI agents are built and deployed safely, so enterprises can scale their AI initiatives with confidence.

Governance

Multi-Layer Governance

Governance on StackAI ensures that AI agents are built and deployed safely, so enterprises can scale their AI initiatives with confidence.

Granular RBAC

Create custom roles and groups

Global Policy

Admins set cross-cutting policy

Agentic Development Life Cycle

The safest path from prototype to production

Analytics

Customizable audit logs and global analytics

Delegated Permissions

Enforce end-user access to sensitive information

Scope Control

Assign users and groups to private folders

Case Studies

Trusted by Leading Financial Services Innovators

Financial services leaders trust StackAI to automate compliance, manage risk, and scale operations with AI agents.

Case Studies

Trusted by Leading Financial Services Innovators

Financial services leaders trust StackAI to automate compliance, manage risk, and scale operations with AI agents.

A major U.S. digital bank used StackAI to automate compliance workflows and deploy AI agents across its risk and operations teams, saving 8,000+ hours per month while accelerating regulatory processes and reducing manual bottlenecks at scale.