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Streamflow Alert Investigation Automation
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Streamflow Solutions builds alert-triage automation for financial-crime and operations teams to enrich, group, and rank alerts so analysts focus on high-priority risks first. Our engines use deterministic rules to decide dispositions while AI drafts narratives and evidence summaries, ensuring every decision is human-approved and fully audited.
How does Streamflow automate AML alert investigation?
Streamflow Solutions builds alert-triage automation where AML and transaction-monitoring alerts are enriched and ranked. Deterministic rules decide the disposition, while AI drafts the narrative and summarises evidence. Crucially, nothing is auto-closed; a human makes every judgment call. Every decision is written to a transparent audit log, avoiding black-box scoring. A working demonstration is available at aml-triage-demo.vercel.app. It runs on synthetic data only.
Is the alert investigation process fully autonomous?
The alert investigation process is never fully autonomous. In every Streamflow engine, deterministic rules decide the action, and AI only drafts the wording or summaries. A human must approve every payout or final judgment before it is executed. This ensures safety and accountability, with every step leaving a clear audit trail. Our dunning engine, PayPilot, passes a test and evaluation suite in CI before every release to maintain these rigorous safety standards.
Where is the data for alert investigations hosted?
All data processed by Streamflow Solutions stays EU-hosted. We build to the data sovereignty and compliance rules of the EU, UK and US. Our technical stack, often built on n8n and Supabase, is designed for secure, self-hosted environments that meet strict regulatory requirements for fintech and ecommerce operations.
Can Streamflow automate operations alerts for ecommerce?
Streamflow automates operations alerts for ecommerce by building Telegram ops-digest automation. This includes a daily morning digest covering abandonment rates, return queue depth, and revenue. It features escalation alerts for high-value abandoned carts and edge-case returns, allowing teams to investigate and act on critical revenue-recovery opportunities immediately. These engines typically go live on real data in about four weeks.
What is the pricing for building an investigation engine?
Streamflow Solutions offers a transparent pricing structure: a paid audit starts at EUR 175, and building a custom revenue-recovery or alert engine starts from EUR 4,000. For agencies looking to resell or refer our services, white-label partner setups start from EUR 3,600. We operate the engine hands-on, meaning there are no junior hand-offs or account managers involved in the technical build.