READY-TO-DEPLOY AI AGENTS
Automate live chat support with agentic AI
Handle real-time customer chat conversations with AI-powered responses that feel natural, helpful, and instant—maintaining 95% customer satisfaction scores.
Live chat shouldn't require around-the-clock staffing...
Coverage Gaps

Customers expect instant chat support 24/7, but staffing around the clock is expensive and complex.
Average 16 hours daily without coverage
High Agent Burnout

Chat agents juggle multiple conversations simultaneously, leading to exhaustion and high turnover rates.
3-5 simultaneous chats per agent
Repetitive Questions

Agents spend 70% of their time answering the same basic questions about hours, pricing, and policies.
70% of chats are FAQs
Use agentic AI to handle live chat automatically 24/7
This agent is pre-trained to run the entire authorization workflow. Deploy once on your systems, and it continuously processes incoming requests.
Real-time conversational AI
Magical engages customers in natural, context-aware conversations that understand intent and provide relevant, helpful responses instantly.
Automatically escalate complex issues to human agents with full conversation context, ensuring smooth transitions without repeating information.
Support customers in their preferred language automatically, breaking down language barriers without hiring multilingual staff.
The AI learns from every conversation, approved responses, and customer feedback to continuously improve accuracy and helpfulness.


Step 1: Book a demo
See Magical in action handling live chat conversations in real-time.
Measurable results for your support team
95%
Customer Satisfaction
Maintain excellent CSAT scores with instant, helpful AI-powered responses
24/7
Availability
Provide instant chat support around the clock without staffing costs
800+
Hours Saved Monthly
Free human agents from repetitive FAQs to focus on complex issues
10X
Conversation Capacity
Handle unlimited simultaneous conversations without wait times
Works across your existing healthcare systems


























