How I created AI Customer Service Agents Working 24/7 (PraisonAI Call)

Описание: 📞 AI Customer Service Revolution: Step-by-Step Guide
Experience the future of customer service with AI agents! This video demonstrates how to set up your own AI-powered customer service system using Praison AI Call. Learn how to automate tasks like checking contract expiry dates, scheduling appointments, and more.

zcloud: https://bit.ly/zcloud-praisonai
Tools: https://mer.vin/2024/10/realtime-cale...
Dockerfile: https://mer.vin/2024/10/praison-ai-ca...
Business Contact for AI Customer Service Implementation: https://mer.vin/contact/
https://github.com/MervinPraison/Prai...

🔑 Key Features:
24/7 AI customer service
Contract expiry date checks
Appointment scheduling and rescheduling
Payment processing
Calendar integration
Database access

🛠️ Tools & Technologies:

Praison AI Call
OpenAI API
Ngrok
Zcloud (for cloud deployment)

📋 Step-by-Step Guide:

Set up phone calling AI agent
Add tools (calendar, database, etc.)
Publish the application

🔧 Implementation Steps:

Install Praison AI Call
Purchase a phone number
Integrate Praison AI and phone number
Add custom tools
Deploy to the cloud for 24/7 operation

💻 Code & Resources:

All necessary code provided in description
Detailed instructions for beginners
Links to additional tutorials

🚀 Cloud Deployment:
Learn how to deploy your AI agent on Zcloud for 24/7 availability, including:

Docker container setup
Database configuration
Auto-scaling
Encryption
Observability

💼 For Businesses:
Interested in implementing this AI customer service solution? Fill out the form in the description for personalized assistance.

0:00 - Introduction to AI customer service
1:25 - Overview of AI customer service agent setup
2:55 - Three main steps for AI customer service automation
3:19 - Step 1: Installing and configuring Praisan AI
4:23 - Step 2: Purchasing a phone number
5:15 - Step 3: Integrating Praisan AI with phone number
5:54 - Adding tools and customizing AI agent capabilities
6:53 - Publishing the application to the cloud
7:34 - Deploying the app using ZCloud
8:55 - Finalising setup and testing
9:34 - Conclusion

🎓 More Learning:
Check out our linked video on creating custom tools to further enhance your AI agent's capabilities.
👍 Like, Comment & Subscribe:
Share your thoughts on this AI customer service solution in the comments below!
#AICustomerService #PraisonAI #CloudDeployment #CustomerExperience #AITechnology