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Sales calls generate a lot of raw information. Notes, transcripts, rambling 45-minute recordings where the actual insights are buried somewhere in the middle. My client's team was supposed to be capturing competitive intel, objection patterns, and deal blockers from those calls — but realistically, nobody had time to do it consistently.
I built a pipeline in n8n that takes call transcripts (auto-generated via their existing recording tool), runs them through an LLM with a structured prompt, and writes the extracted data directly to a Google Sheet. Each row gets: deal stage, top objections raised, competitor mentions, next-step commitments, and a one-sentence summary.
The prompt engineering was the most iterative part. Generic "summarize this call" prompts give generic output. What worked was being extremely specific about output format and giving the model examples of what "a real objection" looks like versus filler. Once that was dialed in, the extractions were consistently useful.
The sheet now gets updated automatically after every call. The sales manager does a 10-minute review on Monday mornings instead of chasing reps for notes all week. Patterns that would've gone unnoticed — like a specific competitor coming up in 60% of deals in one region — became visible within the first month.
The automation didn't replace judgment. It just made sure the information existed in a usable form.
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Before you spend six figures training a custom model, we check if better prompting and retrieval solve the actual problem. Sometimes the cheap fix is the right fix.
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Hook: Most businesses don't need another full-time hire — they just need 5 automated workflows to save 20+ hours a week. ⚙️
Here is how I use n8n to help founders and teams cut operational overhead:
CRM Automation: Syncing leads instantly from forms to CRM and notifying Slack/WhatsApp in real time.
AI-Powered Workflows: Connecting n8n with OpenAI/Claude to automatically draft email replies and summarize reports.
Data Integration: Seamlessly moving data between custom databases, Stripe, and Google Sheets without breaking a sweat.
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📌 Building or scaling your tech stack? Drop a comment or send a DM to discuss how we can automate your manual work.
Every business loses deals because leads sit unqualified for hours. This automation fixes that permanently.
When someone submits a Tally form, N8N captures the data instantly, flattens it into clean structured fields, and sends it to GPT for AI analysis. GPT scores the lead from 0 to 100, assigns a priority level of High, Medium or Low, identifies their intent, writes a summary for the sales team, and recommends the next action — all automatically. Every enriched lead logs to Google Sheets with full AI output visible. The lead receives a personalised welcome email within seconds.
Result: What normally takes a sales rep 15 minutes per lead happens in under 10 seconds for every single submission.
Tools used: N8N, Tally, OpenAI GPT, Google Sheets, Gmail
