Each case needed a complete, documented decision. Investigators assembled the evidence by hand. In account takeover, 33% of manual deny-list checks were wrong; customers waited with locked accounts.
I led the redesign from twelve source screens to one case record and directed the deployment in a payments company’s fraud operation. Change management ran jointly with the client. The deployment runs in production.
Name and card changes close under written policy. Every regulated decision reaches an investigator, who approves, corrects and sends back, or escalates. Account-takeover handling time fell from 9 minutes to 4.
I evaluated where Sierra and Decagon could help the service team track interactions, draft replies and trigger actions. A guardrail audit of the chatbot and voice AI checks that every billing dispute reaches a person.
The twelve source screens become Case 4471. The investigator approves, corrects and sends back, or escalates the regulated decision.
Inspect the assembled record →The record is ready before the investigator opens it.
Name and card changes close by written policy.
Case accuracy reached 98%.
The engine assembles them across 8 systems and about 150 data points, none of them retyped.
of regulated decisions go to an investigator, who approves, corrects or escalates.
The engine drafts the report and a person files it, with every actor and source named.
{{ tkP1 }}
{{ tkP2 }}
{{ tkNext }} → Let's talk about a deployment leadership role.