This workflow automates analysis of GoHighLevel (GHL) customer conversations, replacing manual reviews that burden support teams with hours of daily work. The Webhook and Cron nodes capture real-time messages and daily summaries (5 PM weekdays), the If node validates conversation IDs, HTTP Request nodes fetch conversation data, the Set node formats text, another HTTP Request node uses a local LLM for sentiment and urgency analysis, and a final HTTP Request node sends formatted Slack notifications. This enhances support for teams handling 100+ daily interactions, prioritizing urgent issues and improving response times for mid-sized businesses with 10-50 team members.\n\nThis workflow saves 6-10 hours weekly for teams managing 100+ conversations, increasing issue resolution speed by 80%. Use cases include e-commerce for rapid issue detection, SaaS for customer sentiment tracking, or agencies monitoring client chats. Requires GHL ($97/month base), Slack (free or $7/user/month), local LLM like Ollama (free), and n8n (free or cloud from $20/month). Scalable to 1,500 daily messages with proper LLM setup.\n\nThis workflow requires n8n setup via n8n.io download or cloud.n8n.io signup. For GHL, go to Settings > API Key, copy and store as GHL_API_KEY. For Slack, create a bot at api.slack.com, add chat:write scope, store token as SLACK_BOT_TOKEN, and set URGENT_SLACK_CHANNEL, DEFAULT_SLACK_CHANNEL, SUMMARY_SLACK_CHANNEL. Install Ollama, run 'ollama serve' on localhost:11434, pull llama3, store as LOCAL_LLM_URL, LLM_MODEL. Import JSON, set Webhook node to POST with path 'ghl-message', add URL to GHL.\n\nThis workflow’s testing involves Postman with sample GHL payloads (e.g., {body: {conversationId: '123'}}) or triggering Cron manually. Check Slack messages and n8n logs for AI summaries. Common errors: invalid GHL/Slack tokens (regenerate in platforms), LLM server downtime (restart Ollama), missing conversation IDs (verify GHL data). Activate in production, monitor via n8n dashboard. Maintain by reviewing logs weekly, updating tokens quarterly, and optimizing LLM with cloud hosting for >1,500 events/day.", "businessValue": "Saves 6-10 hours/week analyzing 100+ conversations, speeding resolution by 80%", "setupTime": "30-45 minutes", "difficulty": "Intermediate", "requirements": ["GoHighLevel ($97/month)", "Slack (free or $7/user/month)", "Local LLM (Ollama, free)", "n8n instance"], "useCase": "AI-driven GHL conversation analysis with Slack notifications"
$5.49
Workflow steps: 14
Integrated apps: webhook, if, set