Dr Julia Stamm

Magic Dr Julia Stamm

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

Social Media Management

1
Start
2
Text Input (LinkedIn Post)
3
AI Text Generation (Conciseness)
4
Format Text (Formatting Node)
5
Quality Control (Review and Confirm)
6
Post to LinkedIn
7
Trigger (When Post Successful)
8
Notify User (Post Confirmation)
9
Error Handling (Post Failure Check)
10
Log Activities (Record Actions)

Streamlined process for creating and posting concise LinkedIn content. Reduces time spent on editing, ensures message clarity, and verifies successful posting.

Event Preparation

1
Trigger (Upcoming Event)
2
Data Fetch (Event Details from Calendar)
3
AI Text Generation (Content Outline)
4
Format Text (Structure Preparation)
5
Quality Control (Review Outline)
6
Generate Presentation Slides (Slide Creation)
7
Error Handling (Slide Generation Check)
8
Notify Users (Presentation Ready)
9
Archive Document (Save Housekeeping)
10
Log Activities (Record Preparation Steps)

Efficient preparation of presentation slides and content for upcoming events. Minimizes manual content generation, provides structured outlines for presentations, and tracks progress.

AI Consultation Scheduling

1
Trigger (Consultation Request)
2
Data Fetch (Client Details from CRM)
3
Send Email (Consultation Confirmation)
4
Calendar Event Creation (Add to Schedule)
5
Notify Consultant (Consultation Scheduled)
6
Quality Control (Confirm Details with Client)
7
Follow-Up Reminder (Notification for Upcoming Consultation)
8
Error Handling (Schedule Conflict Check)
9
Log Activities (Record Consultations)
10
End Process

Automates scheduling and confirmation of consultations with clients. Reduces scheduling errors, ensures clear communication between consultants and clients, and tracks all consultation activities.

Data Reporting

1
Trigger (Monthly Data Metric)
2
Data Fetch (Metrics from Database)
3
Data Processing (Generate Reports)
4
Quality Control (Review Report)
5
Format Document (Prepare for Presentation)
6
Send Email (Distribute Reports)
7
Archive Documents (Store Reports)
8
Error Handling (Data Integrity Check)
9
Notify Users (Reports Sent)
10
Log Activities (Record Reporting Process)

Smooth generation and distribution of monthly data metrics reports. Ensures timely report delivery, maintains data integrity throughout the process, and logs activities for accountability.