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Support AI

Track automation health with real-time status updates

Monitor resolution rate, escalations, and automation performance in real time so your team can spot issues quickly and keep support quality high.

May 30, 2025
Track automation health with real-time status updates

Description

Automated support can revolutionize your customer service, but only if you know how well it’s really performing. With Yuma’s Support AI, you can track automation health with real-time status updates, keeping a close watch on everything from resolution rates to ticket escalations. As soon as your AI agent begins handling queries, whether they’re about refunds, shipping info, or product troubleshooting, you’ll see an instant snapshot of which tickets get resolved automatically, which ones are flagged for human review, and how quickly answers go out. This live dashboard offers a single source of truth, helping you spot issues fast and make data-backed adjustments on the fly. Instead of waiting for end-of-month reports or manual audits, you’ll have continuous visibility into the metrics that matter most, ensuring your AI automations stay accurate, efficient, and aligned with your brand’s quality standards.

User Example

A Boston-based online retailer sells premium home fitness equipment. After rolling out AI-powered support for routine questions like shipping updates on treadmills or warranty details for stationary bikes, they noticed a spike in automated resolutions. However, they have no real-time way to confirm success. By the time they run manual checks, any small glitch or misclassification could have affected multiple customer interactions.

To streamline oversight, they implement Yuma’s Support AI to track automation health with real-time status updates. Now, whenever the AI handles a ticket like confirming a delivery status or providing assembly instructions, managers see immediate metrics on resolution time, escalation rate, and overall success rates. If the system flags a complex issue, it alerts a human agent right away, preventing confusion before it escalates. With this live feed of performance insights, the store quickly optimizes its AI workflows, ensuring that the right tickets stay automated while unusual or high-value cases get the personal touch they deserve.

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