Quick Overview
Automaise and Ada AI platforms help leading brands automate ticket categorization, routing, and resolution. AI agents deflect up to 43% of tickets, reduce ticket volume by 50%, and increase customer satisfaction by over 9%, enabling scalable, efficient support.
Various Leading Brands
Company Size
Not publicly disclosed
Revenue Range
Not publicly disclosed
Primary Challenge
Automating support ticket workflows to reduce volume and improve satisfaction
Key Metrics
\- 43% ticket deflection\- 50% reduction in ticket volume\- 9%+ increase in customer satisfaction
The Problem
Manual ticket handling was inefficient and costly
The Solution
AI-powered platforms automate ticket categorization, routing, and resolution with conversational agents
Results
\- Lower support costs\- Increased customer satisfaction\- Scalable support operations
Details
Industry
Technology & SaaS
Departments
Customer Support & Service
Operations & Workflow Automation
Use Cases
Customer Ticket Management
Tags
NLP
Real-Time Processing
Time-Saving
Cost Reduction
SaaS
Support Teams
AI Tools Used
No items found.
Sources
https://www.vktr.com/ai-disruption/5-ai-case-studies-in-customer-service-and-support/https://www.ada.cx/case-studies/
More Case Studies
See All
How HG Commerciale (HGC) Modernized Expense Management with Yokoy Expense AI Platform
Construction
How eBay Processed Contracts 10x Faster and Reduced Legal Workloads with LawGeex AI
Retail & E-commerce
How Aeon Hire Uses AI Sourcing and Predictive Analytics to Save Time and Improve Hiring Quality
Recruitment
How HubSpot Uses AI-Powered Lead Scoring to Increase Conversion by 35% and Boost Productivity by 50%
Technology & SaaS
How Cove Smart Reduced Response Times by 80% and Increased Self-Service with Tidio’s Lyro AI
Technology & SaaS
How Metinvest Uses Machine Learning with DevRain to Enhance Multilingual Document Search and Management on Microsoft SharePoint
Construction