Case Study: Enterprise
How an Enterprise SaaS Platform Cut Support Costs by $2.1M While Improving Customer Satisfaction
A global B2B software company transforms their support operations with AI-powered automation.
Annual Savings
Auto-Resolution Rate
Avg Resolution Time
Team Reduction
Customer Profile
| Industry | B2B SaaS / Enterprise Software |
| Company Size | 500+ employees |
| Customer Base | 2,500+ enterprise clients globally |
| Support Volume | 5,000+ tickets/month |
The Decision Maker
“We were drowning in tickets. Our team was burned out, our customers were frustrated with wait times, and we couldn’t scale support costs linearly with customer growth. Something had to change.”
— VP of Customer Success
The Challenge
As an enterprise SaaS provider with a complex product serving thousands of business customers worldwide, the support organization faced mounting pressure:
Scaling Crisis
- 25 support agents struggling with 5,000+ monthly tickets
- 36-hour average first response time
- Customer complaints increasing quarter over quarter
Cost Concerns
- Support costs growing faster than revenue
- High agent turnover due to repetitive work
- Training new agents taking 3+ months
Quality Issues
- Inconsistent responses across agents
- Knowledge scattered across wikis and docs
- Complex issues falling through the cracks
The Solution
After evaluating multiple solutions, the team chose CX-Catalyst for its ability to integrate with their existing Confluence knowledge base and Jira ticketing system.
Implementation Approach
Week 1-2: Knowledge Base Integration
Connected CX-Catalyst to 1,200+ Confluence articles. AI indexed and vectorized all documentation for semantic search.
Week 3-4: Pilot with Review Mode
Started with 100% human review of AI responses. Team refined confidence thresholds and response templates.
Week 5-8: Gradual Automation
Enabled self-service for high-confidence responses. Monitored customer feedback closely. Expanded automation category by category.
Month 3+: Full Deployment
89% of tickets now resolved automatically. Human agents focus on complex enterprise issues and relationship management.
Key CX-Catalyst Features Used
Confluence Integration
Direct sync with 1,200+ KB articles. Real-time updates when docs change.
Jira Integration
Auto-create bug tickets with full context. Bi-directional status sync.
Slack Review Workflow
One-click approve/edit/reject for medium-confidence responses.
Enterprise SSO
SAML integration with existing identity provider. Role-based access.
The Results
Before vs. After
| Metric | Before | After | Change |
|---|---|---|---|
| Support Team Size | 25 agents | 8 agents | -68% |
| Avg First Response | 36 hours | 4 minutes | -99.8% |
| Self-Service Rate | 12% | 89% | +641% |
| Customer Satisfaction | 72% | 94% | +31% |
| Annual Support Cost | $3.1M | $1.0M | -$2.1M |
“The agents we retained are now doing work they actually enjoy – building relationships with key accounts, solving genuinely complex problems, and contributing to product improvements. Nobody misses answering ‘How do I reset my password?’ for the hundredth time.”
— Director of Support Operations
ROI Breakdown
Annual Savings
| Reduced headcount (17 agents) | $1,700,000 |
| Reduced training costs | $150,000 |
| Reduced turnover costs | $200,000 |
| Tool consolidation | $50,000 |
| Total Annual Savings | $2,100,000 |
Investment
| CX-Catalyst Enterprise (annual) | $120,000 |
| Implementation services | $15,000 |
| Total Year 1 Investment | $135,000 |
| Net Annual ROI | 1,456% |
Ready to Transform Your Enterprise Support?
See how CX-Catalyst can deliver similar results for your organization.