{"title":"LeadLight: Your AI Intake & Lead Qualifier","one_liner":"Turn first contact into clear next steps — an AI employee that triages, qualifies, and books the right leads so you stop chasing prospects and start closing the ones that matter.","description":"Many small businesses lose momentum at first contact: inquiries arrive, someone reads an email or voicemail days later, details get missed, and warm interest goes cold. In this 5-minute panel episode we introduce LeadLight — a single-purpose Marblism AI Employee that captures inbound leads, asks the right qualifying questions, scores intent, and either books a meeting or routes the lead to the right human. We keep the tech talk light and focus on practical steps: what inputs LeadLight needs, the minimal outputs that drive action, where humans must review, and one simple action you can take after listening. Guests unpack a real-world example (a local contractor) so you can hear the exact questions, scoring cues, and follow-up messages that work. By the end you’ll know how to start small, avoid over-automation, and get faster, clearer follow-up without losing the human touch.","why_now":"Every business benefits from faster, clearer first-response and better triage; this is a timeless efficiency problem that doesn’t depend on trends and pays off immediately when solved.","target_audience":"Everyday business owners and founders who want a simple, no-jargon path to automate lead intake, qualify interest faster, and improve follow-up without hiring more staff.","episode_type":"panel","estimated_runtime_s":300,"outline":["00:00-00:30 — Opening & Promise: Welcome to Marblism for Dummies and what listeners will learn about LeadLight — saving response time and turning inquiries into qualified next steps.","00:30-01:10 — The Big Problem: Panel discusses how slow, messy intake loses customers and ties it to real business pain (missed calls, scattered notes, wasted time).","01:10-01:40 — Plain-English Explanation: What an AI intake employee is and how it differs from a chatbot — role-based, rule-driven, and focused on one business outcome.","01:40-02:20 — Real Business Example: A local contractor’s inbound lead flow — the questions LeadLight asks, the criteria for a qualified lead, and typical results.","02:20-03:10 — AI Employee Blueprint: Introduce LeadLight with role, department, problems solved, main tasks, inputs, outputs, human review points, and success metric.","03:10-03:50 — Workflow Walk-Through: Step-by-step: lead arrives, LeadLight captures details, asks clarifying questions, scores and routes or schedules, human reviews when needed.","03:50-04:10 — Practical Lesson: One core principle — start with one clear decision you want the AI to make and protect it with human review.","04:10-04:30 — Action Step: Simple task listeners can do now — list three repeat intake questions and one rule for auto-scheduling.","04:30-05:00 — CTA & Closing: Invite listeners to the AI Workforce Survey / AI Founders Network; outro and signature line.","tags":["lead-intake","lead-qualification","sales-automation","AI-employee","workflow"],"duplication_check":{"nearest_match_title":"Schedule Sentry: Your AI Employee for Fewer No-Shows and Filled Appointments","similarity_score":0.32,"decision":"distinct"},"risks":["Qualification rules too strict and discard good leads","Automation feels impersonal to prospects","Collecting sensitive personal data without safeguards"],"mitigations":["Start with conservative scoring and flag borderline leads for human review rather than auto-discarding","Use friendly, conversational wording and offer easy options to reach a human","Limit intake to necessary fields, store minimal PII, and follow privacy best practices; log human review checkpoints"]}