Businesses and organizations struggle with scattered, inconsistent datasets—whether it’s multiple spreadsheets, customer databases, or mismatched records across systems—making cleaning, merging, and making sense of this data time-consuming, error-prone, and expensive. In this hands-on AI-powered workshop, attendees will build a No-Code AI agent that can analyze, clean, merge, and visualize messy data—without writing a single line of code.

Using Voiceflow, Make, OpenAI, and Airtable, we’ll go from disorganized spreadsheets to a structured master database, then generate instant AI-powered insights and dashboards in Airtable with a single prompt. Imagine your own AI-powered data agent working tirelessly to transform your data chaos into actionable insights.

What Attendees Will Learn:

AI-Powered Data Analysis: Build an AI assistant to analyze messy datasets and detect inconsistencies.

Automation with APIs & Webhooks: Use Make + OpenAI to automate data cleaning and merging.

Relational Database Structuring: Convert messy records from different sources into an organized, accurate database.

AI-Powered Dashboards: Use AI to auto-generate a real-time, interactive dashboard.

Who Should Attend?

Business leaders & data managers dealing with fragmented records.

Entrepreneurs & startup teams automating operations.

No-Code & AI enthusiasts eager to see AI-powered database management in action.

Tools Used (All No-Code!):

Voiceflow → Build an AI agent to analyze & detect data inconsistencies.

Make + OpenAI→ Use Make + Op to automate data cleaning and merging.

Airtable → Final master database storage & real-time updates.

Airtable Interfaces → AI-powered dashboard creation with a simple prompt.