The 6-8 Hour Problem Is a Workflow Problem
Sardine flags a high-risk event. An analyst opens the case, pulls the Socure identity risk profile, checks the Galileo account event history for corroborating signals — login from new device, address change, linked account modification — writes up the investigation, gets approval, triggers the account lock, and initiates the Twilio outreach sequence. Done correctly, that's thorough. Done across a queue of ATO signals during a fraud spike, it takes 6-8 hours per case and the accounts are still compromised while analysts are working through the queue. The investigation step that makes sense for ambiguous fraud signals doesn't belong in the workflow for high-confidence ATOs where three independent signals are already corroborating each other.
Automated Confirmation for High-Confidence ATOs, Human Review for Everything Else
An AI Labor Company agent mines your fraud analysts' ATO investigation workflow — the signal combinations from Sardine and Socure that have historically confirmed ATOs versus false positives — and builds a high-confidence threshold model. When an incoming signal combination crosses that threshold, the agent automatically confirms the ATO, triggers an account lock in Galileo, sends a customer notification via Twilio, and opens a case in Zendesk for analyst review and recovery. Cases below the threshold route to the standard analyst queue. The analyst's time goes to reviewing completed high-confidence lock-and-notify actions and working the ambiguous cases that need human judgment — not to manually assembling signals that already clearly point one direction.
Revenue Protection and Customer Retention as the Real Stakes
ATO fraud response is fundamentally a customer trust problem. A customer who experiences an account takeover and learns their bank waited 6-8 hours to lock their account has a fundamentally different relationship with the product than a customer who received a notification and a frozen account within 30 minutes. Faster response reduces fraud losses on the accounts that get locked sooner, and it meaningfully improves the customer recovery experience — which matters for retention at scale in a neobank model. Fraud ops labor in this function typically runs $250K–$550K/year, and shifting analysts from signal correlation to decision-making and recovery typically reduces manual handling by 65–85%. Deployment typically takes about four weeks.
What safeguards prevent the agent from locking legitimate customer accounts?
The high-confidence threshold is calibrated on your historical ATO data from Sardine and Socure to minimize false positives at automated lock. Below that threshold, cases route to analyst review. Analysts can review and reverse any automated lock, and the Zendesk case record captures the full signal basis for every automated action.
How does this interact with Reg E dispute obligations if an account is locked?
The agent's account lock and customer notification workflow is designed to initiate the dispute resolution process, not replace it. The Zendesk case opened for every automated lock includes the signal basis and timeline for the fraud analyst handling the Reg E investigation. Your existing dispute workflow continues from that case.