Objective
Improve customer experience, operational efficiency, and employee engagement by leveraging Genesys Cloud CX platform with AI-powered automation, virtual agents, and workforce engagement tools to streamline support operations and modernize service delivery.

Introduction
Genesys, a global leader in experience orchestration, transformed its own product support operations by adopting Genesys Cloud CX and its advanced AI capabilities. The goal was to enhance customer support experiences, reduce operational complexity, and enable more personalized, efficient, and proactive service delivery.
By using its own platform internally, Genesys created a fully AI-driven support ecosystem where automation, analytics, and workforce tools work together to improve both customer and employee experiences at scale.

Challenges
Before implementing Genesys Cloud AI-powered support transformation, the product support team faced several challenges:

• Need to scale support operations efficiently to support business growth
• Limited ability to innovate quickly with AI in legacy systems
• Multiple separate on-premises technologies creating fragmentation
• Manual, spreadsheet-based workforce scheduling and planning
• Inefficient routing processes increasing handling time and delays
• Limited automation across support channels and workflows

Our Strategy
To address these challenges, a full AI-powered experience orchestration strategy was implemented:

AI-Powered Support Transformation

• Implemented Genesys Cloud CX with embedded AI capabilities
• Introduced virtual agents and Agent Copilot for real-time assistance
• Enabled AI-driven automation across support workflows

Omnichannel Engagement

• Expanded support across chat, voice, email, and web messaging
• Shifted significant interactions from live calls to digital chat channels
• Improved customer accessibility and engagement flexibility

Intelligent Routing & Automation

• Reduced manual routing using AI-powered intelligent distribution
• Enabled faster connection between customers and support engineers
• Decreased routing time and improved response speed

Workforce Optimization 

• Replaced spreadsheet-based scheduling with Genesys WEM tools
• Enabled dynamic forecasting and automated scheduling
• Improved employee engagement and development planning

Data & Analytics Enhancement

• Introduced speech and text analytics for better insights
• Used AI-driven summaries and post-interaction automation
• Improved decision-making through real-time operational visibility

Results
Following implementation of Genesys Cloud AI, the support organization achieved significant improvements:

20 -Point Increase in CX Score
Customer satisfaction improved significantly across support interactions.

35% Shift to Chat Channels
Customers rapidly moved from voice to digital chat-based engagement.

34% Reduction in Routing Time
AI-powered routing significantly improved response efficiency.

3-5 Minutes Saved Per Interaction
Agent Copilot and virtual agents reduced handling time per call.

Higher Operational Efficiency 
Automation reduced manual workload and improved case resolution speed.

Improved Employee Engagement 
Better tools and automation increased productivity and reduced stress for support engineers.

Lower Case Escalations
AI-driven workflows helped resolve issues faster and reduce escalations.

Strong Workforce Improvements
Automated scheduling and WEM tools improved employee satisfaction and planning accuracy.

Conclusion
By implementing Genesys Cloud CX with advanced AI capabilities, Genesys successfully transformed its own product support operations into a highly efficient, intelligent, and customer-centric system.
The organization achieved significant improvements in customer experience scores, reduced handling time, and increased digital engagement while also enhancing employee productivity and satisfaction.
This transformation demonstrates how AI-powered experience orchestration can deliver measurable business impact while redefining modern customer support at scale.