Developed an AI-assisted lead qualification and conversion system that evaluates inbound leads, a...Developed an AI-assisted lead qualification and conversion system that evaluates inbound leads, a...
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Mohsen Sajjadi
• 2d
Developed an AI-assisted lead qualification and conversion system that evaluates inbound leads, applies scoring logic, triggers automated responses, and routes opportunities into the appropriate pipeline path.
The system was designed to reduce response time, improve qualification consistency, and create a repeatable conversion process across multiple acquisition channels, including forms, messaging platforms, and CRM workflows.
Completed work
Business Workflow AutomationLead GenerationOperationsGo High LevelOpenAIVoiceflow
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Md Arifur Rahman
• 1d
Nice separation between scoring, response, and routing. For production, I’d retain the scoring inputs, rule/model version, final decision, and any manual override on the CRM record. That keeps routing explainable and makes re-scoring safer when the logic changes. How are you handling re-score history and overrides?
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Mohsen Sajjadi
• 1d
Appreciate that — that’s exactly the direction I’m taking it.
I’m treating scoring as an auditable event rather than a single field: storing the scoring inputs, rule version, timestamp, final decision, and any manual override separately from the active score.
For re-scoring, the...
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