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  "body": "# Lead Scoring & Qualification Agent\n\n> A-3102 \\u2022 Demand Generation\n\n## Overview\n\n- **Persona:** Demand Gen Manager\n- **Department:** marketing\n- **Objective:** Gemini interprets contextual signals that scoring models miss \\u2014 competitor comparison downloads, pricing webinar attendance, and company job postings. Synthesizes quantitative scores with qualitative context into qualification narratives for SDR outreach. so the Demand Gen Manager can move the MQL-to-SQL conversion KPI.\n\n## KPI summary\n\n- **MQL-to-SQL conversion**: 18% → 35%\n- **Lead scoring accuracy**: Point-based rules → Predictive ML\n- **SDR context quality**: Score only → Score + qualification narrative\n\n## Contents\n\n- [Playbook — role, scope, guardrails](/playbook.md)\n- [Source Systems](/systems/index.md)\n- [Data Entities](/tables/index.md)\n- [Agent Tools](/tools/index.md)\n- [Workflow Stages](/workflow/index.md)\n- [Query Capabilities](/queries/index.md)\n- [Eval Scenarios](/tests/index.md)\n- [Source Documents](/doc",
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