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Illustration of an n8n workflow fetching and summarizing financial news from FT.com and sending it via Gmail at 7:00 AM.

Stay Updated with Automated Financial News Emails

Imagine starting every morning with a clean, well-structured financial news summary—without lifting a finger. This workflow uses n8n, Groq AI, and Gmail to fetch, summarize, and deliver the latest from the Financial Times directly to your inbox at 7:00 AM daily.

No need to browse multiple sites or scan long articles. Everything is neatly summarized and formatted for quick reading, perfect for busy investors, analysts, and financial professionals.

How the Automation Works

  1. Scheduled Trigger: The workflow kicks off at 7:00 AM daily.
  2. Fetch News: An HTTP Request node retrieves the latest Financial Times content.
  3. Parse Content: Headlines, editor’s picks, spotlight, and Europe news are extracted into structured data.
  4. AI Summarization: Groq Chat Model creates an HTML summary highlighting market trends, sector movements, and key stories.
  5. Email Delivery: The summary is sent via Gmail—formatted, clickable, and ready to share.

Pro Tips & Variations

  • Customize delivery time for different time zones.
  • Add Slack or Teams integration to share summaries with your team automatically.
  • Filter specific sectors like Tech or Energy to personalize insights.
  • Extend beyond FT—fetch from multiple sources (Bloomberg, Reuters, etc.) for richer coverage.

Ready to Build Smart Automations Like This?

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Automated Workflows That Cut 60% of Processing Time

Solution Overview:

Manual processes were slowing down a growing business. Conversantech implemented N8N-based automation and AI logic to replace repetitive tasks with fast, scalable workflows.

Key Features:

  • AI-driven task routing and decision-making.
  • N8N workflow engine integrated with Google Sheets, Gmail, and CRM
  • Real-time Slack/email alerts
  • Zero-code implementation
  • Phased rollout for easy adoption

Business Challenges:

  • Heavy reliance on manual data entry and task repetition
  • Delays due to lack of real-time task visibility
  • Frequent errors in daily operations
  • Over-dependence on individuals for process execution

Our Proposed Solution:

We built a smart automation system powered by N8N and AI logic that connected the client’s existing tools. The system automatically detected task triggers, processed them based on defined conditions, updated relevant platforms, and notified the team — all without human intervention.

Conclusion:

The company saw a 60% reduction in task processing time, eliminated errors, and empowered their team to focus on growth instead of admin. The result: higher productivity, faster turnaround, and scalable internal operations.

Want to streamline your operations with automation?
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