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Case Study

Automated Market Intelligence & Content Hub

How we eliminated manual research and automated social media publishing using AI-driven filtering and a simple Telegram approval flow.

The Challenge

Staying relevant on social media requires constant industry monitoring. Our client’s marketing team was wasting up to 15 hours a week manually scraping news sites, filtering out noise, and drafting posts. This manual process was slow, prone to human error, and kept the team from focusing on high-level strategy.

Our Solution

We engineered a fully autonomous intelligence hub. By integrating data feeds with advanced AI models, we created a system that not only finds the news but also reads, evaluates, and drafts the content automatically.

Make.com OpenAI (GPT-5) Telegram Social APIs

How the Workflow Operates

Here is the exact architecture that runs behind the scenes every single morning without any human intervention (until the final approval).

Scrape Data Scan Industry News
AI Agent Filter & Draft Post
Telegram 1-Click Approval
Publish Live on Socials

1. Data Scraping: The system scans dozens of predefined industry sources.
2. AI Filtering: The AI reads the articles, filters out irrelevant news, and drafts a highly engaging caption.
3. The Approval: The drafted post is sent to the Manager's Telegram.
4. Publishing: If the manager replies "Yes", the automation instantly pushes the post live.

The Impact

By removing the human element from data gathering and drafting, the client achieved massive operational efficiency and removed friction from their daily routine.

90% Reduction in content research and drafting time per week.
100% Consistency in daily social media posting without manual effort.

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