AI for fintech and financial services
AI systems that reduce fraud, accelerate underwriting, automate document review, and improve customer service, all built with the security and compliance controls financial services requires.
How we deploy here
Spending limits, receipts, and compliance before autonomy.
Data and product teams want agents that can buy paid API calls and data. We build agent payments on Amazon Bedrock AgentCore Payments where application code enforces approved recipients, per-payment ceilings, and session budgets, and every payment has a receipt in the audit trail.
Built around
- pre-approved spending policy
- per-transaction limits
- segregation of duties (separate IAM roles)
- an audit trail for every payment
Use cases
- Fraud detection & anomaly flagging
- Credit risk modeling & scoring
- Loan application document processing
- Regulatory filing automation (SAR, CTR)
- Customer service AI agents
- KYC / AML document verification
- Financial report summarization
Compliance and security
- Architecture designed to support your SOC 2 controls
- PCI-DSS aware data handling
- All systems in your cloud environment
- No customer data sent to external APIs
- Explainability for model decisions
- Audit trails for regulatory review
Related
- Document and risk automation
Invoice processing, KYC, and risk model support.
- Customer-facing agents
Support and qualification under financial compliance.
- AI readiness audit
Start where the regulatory surface is smallest.
- Fintech use cases
Fraud, risk, and document systems in production.
Start with one workflow
Book a free 30-minute AI audit. We look at one workflow with you and tell you whether it can reach production in 6 to 8 weeks. No commitment, just 30 minutes with an engineer.
Book a free AI audit