Exploring the art of automation and AI-powered creativity.
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Full Interview
Amazing Song
Speaker Introduction
Interview Highlights
Automation Workflows
Documentation Analysis Workflow
1
Start Node
2
Document Retrieval (Google Drive)
3
Document Parsing (Text Parsing Node)
4
Document Comparison (Similarity Check Node)
5
AI Suggestion (ChatGPT API)
6
Quality Control (Manual Review Node)
7
Document Compilation (Google Docs)
8
Formatting (Text Formatter Node)
9
Error Handling (Error Catcher Node)
10
Notification (Email Alert)
This automation extracts and analyzes multiple documents to provide a summarized version with suggestions for improvements. Pain points: Reduces manual reading time, ensures more consistent documentation, and keeps stakeholders informed.
Data Source Retrieval (API Integration with Compliance Database)
3
Data Filtering (Data Filter Node)
4
Compliance Check (AI Assessment Node)
5
Quality Control (Review Node)
6
Action Trigger (Webhook to Compliance Team)
7
Documentation Update (Google Sheets)
8
Formatting (Spreadsheet Formatter Node)
9
Error Handling (Error Handler Node)
10
Completion Notification (Slack Message)
This automation continuously checks and updates compliance statuses in real time, providing alerts and necessary documentation. Pain points: Minimizes compliance risks, automates reporting, and ensures audit readiness.
This automation creates summaries of policy documents with recommendations to ensure AI governance aligns with regulations. Pain points: Streamlines the policy review process, enhances regulatory adherence, and fosters organizational alignment.
Incident Data Retrieval (API from Incident Management System)
3
Risk Assessment (Risk Analysis Node)
4
Data Compilation (Google Sheets)
5
Quality Control (Validation Node)
6
Report Generation (PDF Export Node)
7
Formatting (Report Formatter Node)
8
Distribution (Email Dispatch Node)
9
Error Handling (Error Handling Node)
10
Confirmation Notification (SMS Alert)
This workflow generates risk management reports based on incident data to be shared with leadership teams. Pain points: Reduces manual report preparation time, provides data-driven insights, and ensures timely communication.
This automation enhances customer service by generating tailored responses to customer inquiries. Pain points: Improves customer satisfaction, speeds up response times, and captures feedback for continuous improvement.
