Sreeram Thiagarajan

Sreeram Thiagarajan

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

Prospect Research Intelligence Brief

1
Webhook
2
LinkedIn Company Scraper
3
Company Website Data Extractor
4
News API Aggregator
5
CRM Record Fetch (Salesforce or HubSpot)
6
AI Insight Summarizer
7
Formatter
8
Google Docs Brief Generator
9
Error Handling Node
10
Quality Control Check

Automates the process of researching target companies by collecting information from LinkedIn, company websites, news sources, and CRM records. Generates a structured executive brief summarizing company initiatives, risks, and opportunities. Reduces time spent on manual prospect research and improves sales preparation quality.

Personalized Sales Outreach Generator

1
CRM Lead Trigger (Salesforce or HubSpot)
2
Lead Data Enrichment (Clearbit or Apollo)
3
LinkedIn Profile Extractor
4
Company News API Fetch
5
AI Personalization Engine
6
Formatter
7
Gmail Draft Generator
8
CRM Activity Logger
9
Error Handling Node
10
Quality Control Check

Creates personalized sales outreach messages using enriched lead data and recent company activity. Generates high quality email drafts and logs interactions within the CRM. Reduces generic outreach and improves response rates through deeper personalization.

Sales Call Transcription Intelligence

1
Zoom Recording Trigger
2
Google Drive File Fetch
3
Speech-to-Text Transcription API
4
AI Conversation Summary Engine
5
CRM Opportunity Matching
6
Key Insight Extractor
7
Formatter
8
CRM Record Update (Salesforce or HubSpot)
9
Error Handling Node
10
Quality Control Check

Processes recorded sales calls by transcribing audio and extracting important insights such as objections, pain points, and next steps. Automatically updates CRM opportunity records with structured notes. Eliminates manual note taking and improves data accuracy.

Sales Workflow Inefficiency Analyzer

1
CRM Data Export (Salesforce or HubSpot)
2
Workflow Step Analyzer
3
Historical Sales Timeline Parser
4
AI Pattern Detection Engine
5
Bottleneck Identification Node
6
Revenue Impact Calculator
7
Formatter
8
Google Docs Insight Report
9
Error Handling Node
10
Quality Control Check

Analyzes sales process data to detect inefficiencies such as unnecessary approval steps or delays in the pipeline. Generates structured reports highlighting bottlenecks and opportunities for improvement. Helps organizations streamline complex sales processes.

Customer Support Interaction Automation

1
Zendesk Ticket Trigger
2
Customer History Retrieval (CRM Salesforce or HubSpot)
3
Intent Classification Engine
4
AI Response Generator
5
Knowledge Base Search (Notion or Confluence)
6
Policy Compliance Validator
7
Formatter
8
Ticket Response Update
9
Error Handling Node
10
Quality Control Check

Automates responses to common customer service inquiries while referencing company policies and historical customer data. Updates the support ticket with a suggested response. Reduces support workload and ensures consistent responses.

Fraud Detection Exception Workflow

1
Insurance Claim Submission Webhook
2
Claims Database Lookup
3
Historical Claims Pattern Analyzer
4
AI Fraud Probability Engine
5
External Risk Data API (Credit Bureau or Government Registry)
6
Exception Flagging Node
7
Case Management Update
8
Formatter
9
Error Handling Node
10
Quality Control Check

Evaluates insurance or financial claims for suspicious patterns and flags high risk cases for investigation. Integrates internal claim records with external risk data sources. Prevents fraud while allowing legitimate claims to process normally.

Customer Upsell Recommendation Engine

1
Stripe Payment Trigger
2
Customer Purchase History Fetch
3
CRM Profile Retrieval (Salesforce or HubSpot)
4
Product Affinity Analyzer
5
AI Recommendation Engine
6
Inventory Check (ERP or NetSuite)
7
Offer Formatter
8
Email Campaign Trigger (Mailchimp or HubSpot Marketing)
9
Error Handling Node
10
Quality Control Check

Identifies cross sell and upsell opportunities based on customer purchase patterns and CRM profile data. Generates targeted marketing campaigns with recommended products. Increases revenue through automated opportunity detection.

AI Data Quality Governance

1
Data Warehouse Trigger (Snowflake or BigQuery)
2
Data Extraction Node
3
Data Completeness Validator
4
Duplicate Detection Engine
5
Data Normalization Node
6
AI Anomaly Detection
7
Formatter
8
Data Correction Update
9
Error Handling Node
10
Quality Control Check

Monitors enterprise data sources to ensure that records used in analytics and AI systems remain accurate and complete. Detects anomalies and duplicates before they propagate downstream. Protects data integrity and prevents incorrect AI outputs.

Compliance Monitoring Automation

1
Regulatory Feed API Trigger
2
Internal Policy Database Lookup
3
Compliance Rule Matching Engine
4
AI Risk Interpretation Node
5
Regulatory Impact Analyzer
6
Severity Scoring Node
7
Formatter
8
Compliance Report Generator
9
Error Handling Node
10
Quality Control Check

Tracks regulatory updates and evaluates how they impact internal company policies and operations. Produces structured compliance reports for legal teams. Reduces risk of regulatory violations and improves governance visibility.

AI Usage Governance Monitoring

1
AI Platform Usage Logs Trigger
2
Identity Matching (Okta or SSO)
3
Sensitive Data Detection Engine
4
Request Classification Node
5
Risk Assessment Analyzer
6
Incident Flagging Node
7
Jira Ticket Creation
8
Formatter
9
Error Handling Node
10
Quality Control Check

Monitors how employees use AI systems and detects unsafe practices such as sharing confidential information with external models. Automatically creates incident tickets when risky activity is detected. Improves security oversight and AI governance.