Kannan Kaliyur

Magic Kannan Kaliyur

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

Lead Generation and Outreach

1
Trigger
2
Lemlist Integration
3
Data Retrieval from Salesforce
4
Send Personalized Email
5
Wait for Response
6
Quality Control Check
7
Log Response in CRM
8
A/B Testing Node
9
Resend Follow-up Email
10
End Workflow

Automation for personalized outreach to potential clients using targeted data, reducing manual effort and increasing engagement. Pain points alleviated include lack of personalized communication, time-consuming outreach efforts, and difficulty tracking responses.

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Client Appointment Scheduling

1
Trigger
2
Receive Request via Email
3
Salesforce Data Lookup
4
Check Expert Availability
5
Send Confirmation Email
6
Quality Control Check
7
Update Calendar
8
Notify Expert
9
Send Reminder to Client
10
Handle Rescheduling Requests
11
End Workflow

Automation that streamlines the scheduling of client appointments with experts, ensuring quick responses and effective calendar management. Pain points include missed opportunities for meetings, manual coordination struggles, and inefficient use of time.

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Sentiment Analysis and Reporting

1
Trigger
2
New Support Ticket Created
3
Data Extraction from Support Ticket
4
Analyze Sentiment Using AI
5
Generate Report
6
Send Report to Management
7
Quality Control Review
8
Archive Ticket
9
Update Ticket Status
10
Notify Team of High-Priority Issues
11
End Workflow

Automation for analyzing support ticket sentiment, providing insights for management and enhancing response strategies. Pain points alleviated cover inefficiencies in manual report generation, missed high-priority issues, and lack of insight into customer sentiment.

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Market Research and Hypothesis Testing

1
Trigger
2
New Market Research Question
3
Data Collection from Third-Party API
4
Analyze Data Trends
5
Generate Insights Report
6
Quality Control Review
7
Log Insights in Database
8
Send Report to Relevant Teams
9
Schedule Follow-up Meeting
10
Hypothesis Verification
11
End Workflow

Automation focused on market research and data analysis to support business decisions and hypotheses. Pain points include time-intensive data analysis, lack of structured insights sharing, and difficulties in coordinating follow-up discussions.

Build the Magic