Financial Administration and CompliancePurpose
1.2. Automates cross-referencing of transactions against pre-defined risk patterns and suspicious behavior using rule-based and AI-driven detection.
1.3. Automator examines transaction data to ensure regulatory compliance, prevent loss, and trigger rapid response workflows for anomalies.
1.4. Enables automated escalation, report generation, and audit trails for compliance and anti-fraud investigations.
Trigger Conditions
2.2. Automates rules when transaction sizes exceed thresholds, frequency anomalies, or geo-location mismatches appear.
2.3. Automation triggers on system alerts from connected accounting, CRM, or banking APIs indicating risk flags.
Platform Variants
• Feature/Setting: “Radar Rules” API — automate creation of advanced fraud rules for real-time blocking of suspect payments.
3.2. Plaid
• Feature/Setting: “Transactions” endpoint — automate daily pulls and analysis of banking transactions for fraud signals.
3.3. SAP Concur
• Feature/Setting: “Audit Service” — automate monitoring of expense claims and transactions via API against fraud profiles.
3.4. QuickBooks Online
• Feature/Setting: Webhooks/“Banking Transactions” — automate notification and flagging of unusual entries.
3.5. Oracle Financials Cloud
• Feature/Setting: “Watchlist Monitoring” — automate rule-based controls to automatically flag suspect movements.
3.6. Xero
• Feature/Setting: “Bank Transaction” API — automate extraction and pattern-matching for anomaly detection.
3.7. Salesforce
• Feature/Setting: “Financial Services Cloud” triggers — automate alerts on high-risk transaction activity with custom flows.
3.8. AWS Fraud Detector
• Feature/Setting: “CreateDetectorVersion” — automate machine learning models for continuous risk scoring and flagging.
3.9. Microsoft Power Automate
• Feature/Setting: “Monitor Transaction” automation — set up automated flows for compliance alerts across financial connectors.
3.10. KYC-Chain
• Feature/Setting: “AML Check” — automate due diligence with every transaction to block flagged entities.
3.11. Twilio
• Feature/Setting: “Programmable SMS” — automate fraud alert notifications to compliance teams and clients.
3.12. Splunk
• Feature/Setting: “Financial Crime Monitoring” — automate ingestion and correlation of transaction data with pre-built dashboards.
3.13. SiSense
• Feature/Setting: “Automated Alerts” — automate statistic-based anomaly detection in transaction datasets.
3.14. Snowflake
• Feature/Setting: “Data Sharing” — automate sharing of transactional flags with regulatory compliance teams.
3.15. Google BigQuery
• Feature/Setting: “Scheduled Queries” — automate fraud model execution on incoming transactions for continuous oversight.
3.16. Looker
• Feature/Setting: “Looker Alerts” — automate monitoring dashboards with real-time deviation detection.
3.17. DocuSign
• Feature/Setting: “Auto-Tagging” — automate document signing trails alerting on transaction irregularities.
3.18. ServiceNow
• Feature/Setting: “Flow Designer” — automate creation of fraud investigation tickets and escalation rules.
3.19. Zendesk
• Feature/Setting: “Triggers and Automations” — automate creation of compliance tickets based on flagged activity.
3.20. IBM Guardium
• Feature/Setting: “Activity Monitoring” — automate log analysis to detect abnormal financial data access or changes.
3.21. Auth0
• Feature/Setting: “Rules and Hooks” — automate authentication-based transaction risk analysis.
3.22. Datadog
• Feature/Setting: “Security Alerts” — automate alerts and response based on transaction monitoring events.
Benefits
4.2. Automator ensures continuous compliance, audit readiness, and fast incident response.
4.3. Automated escalation streamlines investigation and reporting, improving operational efficiency.
4.4. Automation increases customer trust by rapid detection and prevention of fraudulent activity.
4.5. Automatable and flexible integration across platforms automates workflows for growing investment operations.