1.Detect new lead row
Integrate Zapier Tables and lead intake tools to trigger on each new lead row and centralize scoring-ready submission data.
When new lead rows land in your Zapier Tables table, low-fit leads can stay unreviewed and slow partner decisions. This automation requests an AI FIT score and updates scoring and rejection fieldsβso your team can triage faster.
Integrate Zapier Tables and lead intake tools to trigger on each new lead row and centralize scoring-ready submission data.
Integrate ChatGPT (OpenAI) and profile extraction tools to map core profile fields into a FIT_SCORE and REASON output format.
Integrate Zapier Tables and record fields to write the numeric FIT score and store the AI reason in dedicated fields.
Integrate Filter by Zapier and scoring rules tools to continue only when the extracted FIT score meets your low-fit threshold.
Integrate Zapier Tables and CRM status tracking tools to update scoring status and set rejection fields for triage.
Build custom automations across your tools in minutes. Describe what you need, connect your apps, and create workflows without the manual effort.
Zapier connects your tools, triggers actions from real-time data, and streamlines workflows so your team can focus on what matters most.
Step 1
Bring your apps together so information can move automatically between the tools your team already uses.
Step 2
Choose the events that should start your workflow, like a new submission, updated record, completed task, or customer action.
Step 3
Let your workflow handle follow-ups, updates, notifications, and reporting so your team can track progress and act faster.
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