Cost Reduction Through AI-First Support
ClassPass experienced increasing interaction volume with high operational costs. Cyclical demand made staffing unpredictable, and their tech stack lacked automation integrations across channels.
📌Key Takeaways
- 1Cost Reduction Through AI-First Support addresses: ClassPass experienced increasing interaction volume with high operational costs. Cyclical demand mad...
- 2Implementation involves 5 key steps.
- 3Expected outcomes include Cost Reduction: 95% per ticket.
- 4Recommended tools: decagon.
The Problem
ClassPass experienced increasing interaction volume with high operational costs. Cyclical demand made staffing unpredictable, and their tech stack lacked automation integrations across channels.
The Solution
After evaluating 12 AI solutions, ClassPass chose Decagon. They deployed a generative chatbot plus Agent Assist integrated into Zendesk, expanding from 16 hours/5 days to 24/7 coverage.
Implementation Steps
Assess Current Challenges
ClassPass experienced increasing interaction volume with high operational costs. Cyclical demand made staffing unpredictable, and their tech stack lacked automation integrations across channels.
Pro Tips:
- •Document existing pain points and their business impact
- •Identify key metrics to track improvement
- •Map current workflows that need automation
Design the AI Solution
Plan the implementation of cost reduction through ai-first support using Decagon capabilities.
Pro Tips:
- •Configure Decagon for your specific requirements
- •Define success criteria and KPIs upfront
- •Identify integration points with existing systems
Implement and Configure
After evaluating 12 AI solutions, ClassPass chose Decagon. They deployed a generative chatbot plus Agent Assist integrated into Zendesk, expanding from 16 hours/5 days to 24/7 coverage.
Pro Tips:
- •Start with a pilot deployment on a subset of workflows
- •Test thoroughly with real-world scenarios
- •Train team members on the new system
Monitor and Optimize
Track performance metrics, gather feedback, and iterate on the configuration to improve outcomes.
Pro Tips:
- •Review performance dashboards weekly
- •Collect qualitative feedback from end users
- •Adjust thresholds and rules based on real data
Scale Across the Organization
95% cost reduction per reservation and 10x higher deflection than anticipated. Chat expanded from handling 5% to 80% of all support tickets.
Pro Tips:
- •Document best practices from the pilot phase
- •Create onboarding materials for new teams
- •Set up regular review cadences to maintain quality
Expected Results
Cost Reduction
3 months
95% per ticket
Deflection Rate
Immediate
10x higher
Coverage
Immediate
24/7 support
Channel Shift
6 months
5% → 80% chat
ROI & Benchmarks
Typical ROI
400-800%
within 6-12 months
Time Savings
70-90%
reduction in manual work
Payback Period
2-4 months
average time to ROI
Cost Savings
$200K-$1M+ annually depending on volume
Output Increase
10x ticket deflection improvement
Implementation Complexity
Technical Requirements
Prerequisites:
- •Existing helpdesk platform
- •Knowledge base content
- •Support workflow documentation
Change Management
Moderate adjustment required. Plan for team training and process updates.