Fraud Detection

Challenge

AstroPay's Compliance analysts faced manual, fragmented investigations, with data scattered across multiple systems. Each case took between 45 and 60 minutes, creating operational bottlenecks. Reports were inconsistent — dependent on each analyst's judgment — and team overload increased the risk of missing relevant signals.

Our solution

A conversational AI assistant that centralizes critical KYC, transaction, and historical case data, speeding up AML investigations with human review in the loop.

The analyst triggers the agent. It pulls the user's KYC and full transaction history, maps behavior against known AML typologies, and drafts the official Investigation Report. The analyst reviews, edits, and approves the final version — with full versioning and an audit trail.

The agent enables

• Natural-language queries on KYC, transactions, and cases.
• Automatic identification of AML patterns and anomalies.
• Standardized analysis and reporting, with full traceability.
• Less manual work, more focus on high-judgment decisions.

Added value

The solution amplifies the analyst's decision-making capacity within the regulatory space — applied directly to compliance and risk in fintech.