AI Automation

AI Automation for Support Ops

Reduced handling time and improved response consistency with automated triage and routing.

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-35%

Avg. response time

-40%

Manual workload

+12%

CSAT lift

Overview

A growing support team needed faster resolution times without scaling headcount. We introduced automation for intake, classification, and routing—paired with dashboards to measure impact and continuously improve workflows.

Below is a delivery snapshot—what we were optimizing for, the constraints we worked within, and the approach we used to ship measurable improvements. If you’re planning something similar, we can help you scope a clear path to results.

Challenge

High ticket volume and inconsistent categorization
Manual routing caused delays and escalations
Limited visibility into bottlenecks and team performance

Approach

Mapped support journeys and defined success metrics
Built an automation pipeline for triage and routing
Added human-in-the-loop review for edge cases
Implemented analytics to track SLAs and outcomes

Deliverables

Automated triage + routing serviceAgent dashboard + analyticsEvaluation metrics + monitoring

Stack

ReactNode.jsAutomationAnalytics

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