SKAIA Foloup

# SKAIA Foloup ## The AI Revenue Operating System that turns conversations into customers, and customers into revenue SKAIA Foloup connects customer inquiries, consultations, bookings, follow-ups, CRM, schedules, revisits and revenue data of local service businesses into one flow. Its purpose is not just automation: it reduces the disconnects from first inquiry to booking, transaction and revisit, converting demand a business already has into actual revenue. ## Why Foloup is needed Local businesses lose revenue not only from lack of customers. Inquiries disappear because: calls unanswered, slow replies, quotes sent with no follow-up, hesitating bookers lost, empty slots unfilled, no-shows, no post-service contact, missed revisit timing, unknown ad-to-revenue attribution. Together this is one problem: Revenue Leakage. ## Core goals: Capture Demand, Convert Demand into Revenue, Continue the Relationship Revenue flow: ACQUIRE -> CAPTURE -> CONVERT -> SCHEDULE -> OPERATE -> RETAIN -> RETURN. ## Technology Foloup is not one chatbot or one LLM. It connects multiple AI models, company data, customer records, CRM, schedules, messaging channels and business rules into an AI operating system that continuously executes revenue work. 1. Company Memory: company info, services, pricing/policies, customers, past conversations, quotes/bookings, staff/roles, rules, schedules, behavior, sales records, documents — so AI works with full context of what happened with this customer. 2. AI Context & Reasoning: selects only the needed customer, policy, history and state to judge intent, missing info, booking potential, handoff and next action. 3. Workflow Automation: inquiry -> customer check -> history lookup -> intent analysis -> answer -> info gathering -> availability check -> booking or handoff -> CRM update -> follow-up schedule -> outcome record. 4. Multi-Channel: Website, Web Form, Email, SMS, Phone, Messaging, CRM, Calendar, Booking, Customer Database — different channels, same customer and transaction flow. 5. CRM + Operational Memory: customer states like New Inquiry, Contacted, Quote Sent, Follow-up Needed, Booked, Completed, Review Requested, Reactivation Candidate, Returned — so you see which action each customer needs now. ## Follow-up Follow-up is the core Revenue Recovery mechanism: last contact, service inquired, waiting or not, capacity, right timing, right channel and message — then generates the follow-up action. ## People and AI AI handles classification, Q&A, info gathering, history search, draft answers, booking requests, reminders, follow-ups, CRM records, reactivation, analytics. Humans approve pricing, special discounts, complex complaints, legal/safety/insurance matters, exceptional terms, brand-critical decisions. Goal: Trustworthy Automation, not Maximum Automation. ## Key differentiator Not another chat window, not a CRM replacement. A Revenue Operations Layer on top of existing systems: website, phone, CRM, calendar, customer data — AI connects the broken work in between. ## Ultimate vision The owner says "I want 30 bookings next week" and Foloup understands open slots, services, pending inquiries, stalled quotes, unbooked leads, past customers, revisit timing, campaigns and conversion data — then builds a Revenue Plan, gets approval where needed, executes automatically, measures, and learns. ## Product relationship SKAIA is the company and vision. Hey SKAIA is the Intelligence & Operating Layer. Foloup is the commercial Revenue Operations System applying it to acquisition, response, booking, follow-up and revenue. ## One-line definition SKAIA Foloup is an AI Revenue Operating System that turns customer conversations, missed inquiries and follow-ups into measurable bookings, repeat customers and revenue. (Korean: SKAIA Foloup은 고객 문의와 후속관리를 실제 예약·재방문·매출로 연결하는 AI 매출 운영 시스템입니다.) ## Modules shown in gallery KPI Dash (advertising/inquiries/bookings/revenue analytics), SMS Follow-up (AI-assisted Twilio conversations), KakaoTalk (selected chats with AI auto-reply and follow-up checklists), Work calendar (capacity and schedules), CRM (contacts, sales activity, shared memory), Blog/Journal (multi-channel publishing), Image search (memory image search by sentence), Memory (company wiki + shared knowledge), Add menu (install only needed modules).

Project contribution and results

Henry founded SKAIA Foloup, an AI Revenue Operating System that turns customer conversations into bookings and repeat revenue for local service businesses. He designed the full revenue flow — ACQUIRE → CAPTURE → CONVERT → SCHEDULE → OPERATE → RETAIN → RETURN — around Company Memory, AI reasoning and workflow automation, so shops recover demand they were already losing. The product vision: an owner says "fill 30 bookings next week" and Foloup builds the revenue plan, executes, measures and learns.

Client: SKAIA

Role: Founder

Project story