Ariel Cohen

Magic Ariel Cohen

Exploring the art of automation and AI-powered creativity.

Discover The Magic

Full Interview

Full Interview

Amazing Song

Amazing Song

Speaker Introduction

Speaker Introduction

Interview Highlights

Interview Highlights

Automation Workflows

Deep Research Automation

1
API Request to ChatGPT
2
API Request to Gemini
3
API Request to Claw
4
Aggregator Node
5
Data Parsing Node
6
Data Transformation Node
7
Quality Control Node
8
Summary Generation Node
9
Export to Google Docs
10
Notification Node

This automation gathers competitive insights from multiple AI platforms simultaneously. Pain points alleviated include time savings from manual research and insights aggregation.

Voice Agent Development Automation

1
Data Ingestion Node
2
Call Transcription Node
3
Intent Recognition Node
4
Data Analysis Node
5
Workflow Mapping Node
6
AI Model Training Node
7
Deployment Node
8
Performance Monitoring Node
9
Feedback Loop Node
10
Reporting Node

This automation develops a custom voice AI by analyzing existing call data to inform its training. Pain points alleviated are the need for manual training processes and missed customer insights.

Performance Monitoring Automation

1
Data Collection Node
2
Performance Metrics Node
3
Analytics Dashboard Node
4
Quality Control Node
5
Alert Management Node
6
Error Handling Node
7
Reporting Node
8
Summary Node
9
Feedback Loop Node
10
Notification Node

This automation tracks the performance metrics of voice AI agents over time. Pain points alleviated include lack of visibility into AI performance and delayed responses to issues.

Customer Feedback Loop Automation

1
Data Collection Node
2
Sentiment Analysis Node
3
Feedback Categorization Node
4
Action Recommendation Node
5
Integration with CRM
6
Notification Node
7
Reporting Node
8
Quality Control Node
9
Data Archiving Node
10
Summary Generation Node

This automation collects and analyzes customer feedback to improve voice interactions. Pain points alleviated include slower response times to customer concerns and difficulty in tracking sentiment trends.

Sales Follow-Up Automation

1
Contact List Import Node
2
Outbound Call Scheduler Node
3
Call Performance Tracking Node
4
Meeting Booking Integration
5
Feedback Collection Node
6
Follow-Up Email Node
7
Analytics Dashboard Node
8
Quality Control Node
9
Reporting Node
10
Notification Node

This automation facilitates follow-up interactions after sales calls to ensure lead management efficiency. Pain points alleviated are missed follow-ups and lack of organization in tracking sales progress.