AI Customer Intake & Lead Qualification
Buyer outcome
A scoped AI customer intake and lead qualification workflow for Vietnamese teams, built around Zalo inquiry handling, Facebook Messenger intake, approved FAQ boundaries, inquiry sorting, lead qualification logic, escalation rules, and human handoff — with written scope confirmed before any payment or build commitment. This is the recommended first AI service for Vietnamese SME support and inquiry-handling teams.
Why security-led AI customer intake matters
AI that interacts with customers is connected directly to your inquiry channels, customer contact details, and business systems. Each connection carries specific risks: hallucination in customer-facing responses, prompt injection through chat or form inputs, privacy boundary violations, and escalation failures when human review is not correctly triggered.
This build focuses on hallucination risk in customer-facing Zalo and Messenger responses where AI provides confident but incorrect answers about pricing, availability, or delivery timelines — damaging customer trust; prompt injection through Zalo or Messenger chat inputs that manipulate AI responses or extract internal information; privacy risk from Zalo conversations containing customer PII — name, phone number, address, order details — entering AI context without explicit consent checkpoints, a specific risk for Vietnamese social commerce operators; escalation failure where the AI does not correctly identify complex, sensitive, or frustrated inquiries requiring human attention; human handoff failure where escalation logic is absent or misrouted, leaving customers unresolved; and support-team augmentation — this service is designed to assist and route inquiries, not to replace human judgement or customer service staff.
BilgeQor's AI services are built around written scope, approved knowledge boundaries, permission boundaries, human approval points, and review before wider rollout.
Scope drivers
Ideal for
- Vietnamese SME support teams managing Zalo and Facebook Messenger inquiry overload with limited staff
- E-commerce and social commerce operators on Shopee, TikTok Shop, and Facebook Shop handling high-volume product and order inquiries
- Logistics and freight teams triaging shipment inquiries, document requests, and client onboarding through Zalo or email
- Clinics, dental practices, and wellness businesses managing appointment requests and patient FAQ via Zalo and web form
- Schools, tutoring centres, and admissions offices fielding enrollment inquiries via Zalo and Facebook Messenger
- Hospitality and travel teams receiving booking inquiries via Zalo, email, or web form and needing human handoff rules for reservations
What is included
- Customer inquiry workflow mapping — Zalo, Messenger, web form, email
- Approved FAQ and knowledge boundary definition
- Lead intake and qualification logic
- Inquiry sorting and triage rules
- Handoff and escalation rule design
- Human handoff triggers and escalation protocol
- Intake form structure recommendations
- Customer summary format for support or sales teams
- Data handling and permission notes
- Test conversation scenarios
- Written implementation summary
What is not included
- Replacing the customer support team
- 24/7 live support staffing
- Unrestricted autonomous customer decisions
- Refund, cancellation, payment, legal, medical, or regulated decision automation
- Full CRM, helpdesk, or website rebuild
- Voice call agent implementation unless separately scoped
- Payment or checkout before written scope is confirmed
Delivery process
Channel and inquiry intake
Review Zalo, Messenger, and other customer entry points, common inquiry types, lead fields, escalation needs, and approved knowledge sources.
Conversation and boundary design
Define what the AI can answer, what it must collect, when it must sort and triage, and when it must hand off to a human agent.
Engagement workflow preparation
Prepare conversation paths, qualification logic, intake form structure, escalation notes, and test scenarios.
Review and handoff
Walk through the engagement flow, response limits, human handoff model, and next implementation steps.
Representative deliverable
Customer Inquiry Flow + Lead Qualification and Human Handoff Pack
All AI services are request-first. Scope is confirmed in writing before any payment, deposit, or implementation commitment.
Frequently asked questions
Request a scope review
Tell us about your team, workflows, inquiry channels, and data context. We will respond with a written scope and confirmed deliverables before any commitment.