Proof from live queues, not demos.

15,000 open cases, three kinds of case, one team.

The bank's LEA team carried a backlog of 15,000 cases. Complaints reach it in three states: fresh, reassign and response received. Each state needs different handling.

Every case meant the same manual loop. Read the request, search five internal systems for the facts, write the response, then update the bank's own records. New complaints arrived faster than that loop could clear them.

Analysts stopped gathering and started deciding.

CaseLEA took on the preparation. The evidence is already collected when an analyst opens a case, and the response is drafted with the reasoning behind it. The analyst reviews and approves. Cases the evidence cannot settle go to human review rather than getting a guess.

We built it inside the live operation, one edge case at a time. 76 resolution scenarios are now covered, and 637 improvements have shipped as the rules and the cases changed. That is why the backlog stayed down after the cleanup - most cleanups decay.

32k+ complaints closed, across all three case states.

The backlog is down 95%. Turnaround is 3x faster. 490k workflow runs later, the operation returns 3.4x what it costs.

Every legal request is a reply that goes on the record.

Requests from police and legal teams reach a bank by email. A request for account details. An instruction to act on an account. A notice, or the draft of a court order. None of it can be answered from memory. Each reply needs account and transaction facts pulled from the bank's own systems first.

Email is the one channel that is a conversation and a paper trail at once. So every reply is evidence of what the bank said and when. It has to be right the first time.

The reply is drafted before anyone opens the email.

CaseLEA reads each email and its attachments, finds the account and transaction context, and prepares the reply. Every reply passes safety and correctness checks before it can be sent. Anything uncertain goes to an advisor instead, with the draft and the facts already in front of them.

86% handled end-to-end, at 65% lower cost.

A reply is ready about 3 minutes after an email lands. An issue takes two emails on average. The queue holds up at 75 emails a minute at peak, with 99.9% uptime.

Cost is down 65% against manual handling, while turnaround and SLA performance improved at the same time. Cheaper and faster usually trade off. Here they did not.