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Most "automation" engagements start by buying new software. Mine usually start by flagging what's already broken.
On a recent systems audit for a trades business running on WhatsApp and spreadsheets, I consolidated years of fragmented client, quote, and invoice data into one live workbook, then flagged dozens of data quality issues for human review — not silently auto-corrected. From there: 6 working automation flows, proper accounting, zero new software forced on the business.
Automation only works if the data underneath it is trustworthy. Fix that first.
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Built an end to end lead automation system that turns new inquiries into CRM ready contacts instantly.
When a lead submits a form, the workflow:
• Captures and cleans the data
• Scores the lead automatically
• Creates/updates the CRM contact
• Sends a Slack alert to the sales team
Stack: Zapier · CRM · Slack · Email
Impact:
• 247 leads processed in 30 days
• 98.4% sync success rate
• 12 hours saved per week
• Zero manual copy paste
Here is a quick look at the workflow behind my Al-powered
WhatsApp hotel assistant.
When a customer sends a message, n8n receives it via a webhook and checks Airtable to determine whether the customer already exists. Based on the result, the workflow either continues the conversation or creates a new customer record.
The Al agent (powered by Gemini) responds using the hotel's knowledge base. If it can't answer a question, it intelligently offers to connect the customer with a human staff member.
If the customer accepts, the workflow notifies the team through Green API (WhatsApp), logs everything in Airtable, and waits for staff confirmation. If no one confirms within 5 minutes, the customer automatically receives a form to ensure no request is missed.
Tools used: n8n • Airtable • Green API • Google Gemini
This is just a high-level overview. I will be sharing a full voiceover walkthrough of the entire workflow in my next post, explaining every node and the logic behind it. Stay tuned!
#n8n #automation
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