Qualify and route sales leads with Mistral-Saba AI and MCDM scoring

by Cheng Siong Chin ✓ · 63 views · created 2025-11-12 · Lead Generation, AI Summarization

What this workflow does

This AI workflow has 20 nodes and runs on a schedule (every hour). Along the way it connects OpenRouter Chat Model.

How it runs

Trigger: On a schedule (every hour).

1. Workflow Configuration (Edit Fields (Set)): sets 9 fields: demographicApiUrl, behavioralApiUrl, transactionalApiUrl…
2. Fetch Demographic Data (HTTP Request): calls an HTTP API
3. Fetch Behavioral Data (HTTP Request): calls an HTTP API
4. Fetch Transactional Data (HTTP Request): calls an HTTP API
5. Merge Lead Data Sources (Aggregate): combines items into one
6. MCDM Scoring Engine (AHP-TOPSIS) (Code): runs custom JavaScript code
7. AI Lead Qualification Agent (AI Agent): runs an AI agent, with model: OpenRouter Chat Model; 1 tool (Lead Enrichment Tool)
8. Prepare Lead Scores (Edit Fields (Set)): sets 4 fields: leadScore, leadTier, aiInsights…
9. Route by Lead Quality (Switch): routes items into 4 branches
10. Assign to Enterprise Sales Team (HTTP Request): calls an HTTP API (POST)

…plus 7 more steps. See the full node list below.

Services it uses

OpenRouter Chat Model

Before you upgrade to n8n 3.0

Nodes used (9)

• Schedule Triggern8n-nodes-base.scheduleTrigger
• Edit Fields (Set)n8n-nodes-base.set
• HTTP Requestn8n-nodes-base.httpRequest
• Aggregaten8n-nodes-base.aggregate
• Coden8n-nodes-base.code
• AI Agent@n8n/n8n-nodes-langchain.agent
• Code Tool@n8n/n8n-nodes-langchain.toolCode
• Switchn8n-nodes-base.switch
• OpenRouter Chat Model@n8n/n8n-nodes-langchain.lmChatOpenRouter

From the author

How It Works The workflow starts with a scheduled trigger that activates at set intervals. Behavioral data from multiple sources is parsed and sent to the MCDN routing engine, which intelligently assigns leads to the right teams based on predefined rules.…

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