Your monitoring system generates alerts. Most are false positives. A trained analyst clears them and documents the disposition.
Volume and enterprise pricing available · you set the budget per task
Your transaction monitoring system generates tens of thousands of alerts a year. The overwhelming majority are false positives. Each one still has to be reviewed, dispositioned, and documented — and analyst headcount can't grow as fast as alert volume. The cost per alert is the whole problem.
Via form, API, or SDK. From any workflow or AI agent.
AI assembles the alert package — triggering activity, customer profile, transaction history
Trained AML analyst reviews flagged items within your SLA. Credential requirements vary by task.
Structured decision. SHA-256 audit hash. Tamper-proof record.
Reviews the triggering transaction against customer profile and account history
Determines whether the pattern has a legitimate explanation
Dispositions the alert as cleared or escalated for SAR consideration
Documents the reasoning at the standard an examiner expects
Produces an attributed record of who cleared it and why
Verified professionals matched to the Finance category
Credential requirements vary — some tasks require specific certifications, others are open to all verified operators
Every review includes a SHA-256 audit hash for verification
Preferred credential for this use case: Trained AML analyst
This use case was built with the HumanAgent API. You can build your own version — customize the workflow, set your own pricing, integrate your own AI, and choose your operators.
Operator credential requirements vary by task. Some tasks are open to all verified operators.