WEBVTT 00:00:00.600 --> 00:00:16.808 This is Maple Payments. Forty-two accounts, thirty-two thousand support tickets, eight thousand opportunities — a complete, production-scale company. And nobody is babysitting its operations. 00:00:17.158 --> 00:00:30.300 Maple's contracts promise first-response times by tier — thirty minutes for Enterprise, two hours for Growth. Somewhere in thirty-one open P1 tickets, those promises are being missed. 00:00:30.650 --> 00:00:37.012 So JieGou runs the sweep — joining tickets, to accounts, to the actual contract terms. 00:00:37.362 --> 00:00:51.248 The catch: twenty-seven breaches. Not thirty-one — two tickets sit on accounts with no SLA, and two are too new to breach. The exclusions come with reasons, because precision is the product. 00:00:51.598 --> 00:01:00.468 Every row carries its receipt — the clock math, from the data. Not an assertion; a computation you can check. 00:01:00.818 --> 00:01:15.725 For each breach, a client-facing response is already drafted — from their reported problem, and their tier's terms. And here's the part that matters: nothing sends without a human. 00:01:16.075 --> 00:01:19.233 A person reads the draft — and approves it. 00:01:19.583 --> 00:01:28.314 That decision just became an audit entry. Who approved what, and when — the trail a compliance review actually wants. 00:01:29.014 --> 00:01:43.596 That was the exception path. Most tickets just need a good answer, fast. Here, the AI drafts replies grounded in the knowledge base — citations attached. Proposed, never sent on its own. 00:01:43.946 --> 00:01:51.469 Deflection numbers only matter if the drafts are trustworthy. Trustworthy means showing sources. 00:01:52.169 --> 00:01:59.042 Zoom out, and this is what a month looks like. Sweeps that ran. Drafts approved — and a few rejected. 00:01:59.392 --> 00:02:09.655 And once, a bulk action the governance policy held — too big to auto-approve, so it waited for sign-off. That's the leash, working. 00:02:10.355 --> 00:02:17.414 One more thing no single system can answer: how much revenue is sitting behind the open critical tickets? 00:02:17.764 --> 00:02:28.213 Nine hundred twelve thousand dollars in the top product area — computed across tickets, the product hierarchy, and account ARR, with the method stated. 00:02:28.913 --> 00:02:41.452 Here's the point. Nobody at Maple configured any of this. JieGou set it up, and operates it — the team only ever sees the green checks, and the approval taps. 00:02:41.802 --> 00:02:54.434 It's all live at showroom.jiegou.ai. Click around, approve something yourself — and when you're ready, we'll stand up your first workflow, on your operations, in week one.