How Throxy Automated Their Operations with Invicta AI

Throxy, a B2B sales automation platform, needed to scale their operations without growing their team. They turned to Invicta AI to automate their customer support, sales operations, and internal processes.

Challenge

As a growing startup, Throxy faced the classic scaling problem: increasing customer demands without proportionally increasing headcount. They needed a solution that could:

• Handle 24/7 customer support efficiently
• Streamline sales meeting scheduling
• Automate internal operations
• Track competitor movements
• Handle HR tasks

Solution

Throxy implemented Invicta AI's multi-agent system across several key areas:

1. Customer Success Automation

• Deployed AI agents to handle customer queries
• Set up intelligent routing and escalation protocols
• Integrated with Slack for team collaboration

2. Sales Operations

• Automated meeting scheduling
• Handled initial prospect qualification
• Managed calendar coordination

3. Internal Operations

• Market and competitor monitoring
• HR process automation
• Document processing and management

Results

Customer Support:

• 85% of customer queries resolved autonomously
• 15% of complex cases efficiently triaged and escalated
• Average response time reduced to under 2 minutes
• 24/7 support coverage achieved

Operational Efficiency:

• Sales team saved 20+ hours per week on scheduling
• Real-time competitor monitoring without manual tracking
• HR onboarding time reduced by 60%

Key Benefits

1. Reliability: The system operates 24/7 with consistent performance
2. Scalability: Support volume handled without adding headcount
3. Integration: Seamless connection with existing tools (Slack, Calendar)
4. Cost Efficiency: Significant reduction in operational costs

Implementation

Throxy's implementation was completed in under two weeks, with minimal disruption to existing operations. The system required minimal training data, leveraging Invicta AI's zero-shot learning capabilities.

"The ROI was immediate," notes Arneybe. "What impressed us most was how the system handled complex queries with human-like understanding while knowing exactly when to involve our team."