AI Customer Intake & Lead Qualification
What you get
An AI-assisted customer inquiry and lead qualification workflow for Malaysian SMEs — built around high-volume channels including WhatsApp Business, website chat, and contact forms. Written scope, defined data handling, and human handoff rules confirmed before any payment or build commitment.
Why security-led AI integration matters
Customer-facing AI connects directly to your inquiries, contact data, and business systems. Each connection introduces specific risks: customer-facing hallucination, prompt injection through chat or form inputs, data boundary violations, and escalation failures when human review is bypassed.
This build focuses on customer-facing hallucination risk, prompt injection through WhatsApp and chat inputs, privacy and data boundary obligations under PDPA 2010, poor lead qualification logic, escalation failure risk, missing human handoff rules, and unclear consent or sensitive customer data handling — AI assisting your support team, not replacing human judgment.
BilgeQor's AI services are built around written scope, approved knowledge sources, permission boundaries, human approval points, and review before wider rollout.
Scope drivers
Ideal for
- Malaysian SMEs receiving customer inquiries through WhatsApp Business, website chat, or contact forms
- Support, sales, or service teams that want faster inquiry triage without replacing human agents
- B2B teams that need structured lead intake before sales follow-up
- Businesses that want AI assisting their team, not making autonomous decisions on their behalf
- Leaders who need written scope, escalation rules, and approved response boundaries before launch
Included
- Customer inquiry channel mapping
- Approved FAQ and knowledge boundary definition
- Lead intake and qualification logic
- Escalation and human handoff rule design
- Customer summary format for sales or support teams
- Data handling and consent notes
- Test conversation scenarios
- Written implementation summary
Excluded
- Replacing the customer support team
- Autonomous customer decisions or refund and cancellation automation
- Unlimited conversation paths or knowledge sources
- Regulated decisions — financial, medical, legal, or compliance matters
- Full CRM or helpdesk rebuild
- Voice call agent implementation unless separately scoped
- Payment before written scope is confirmed
How it works
Inquiry and channel intake
Review 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, and when it must hand off to a human agent.
Workflow preparation
Prepare conversation paths, qualification logic, escalation notes, and test scenarios.
Review and handoff
Walk through the engagement flow, response limits, handoff model, and next implementation steps.
Representative deliverable
Customer Inquiry Flow + Lead Qualification and Handoff Pack
All AI services require scope confirmation before work begins. Submit a request — we review and confirm in writing before sending a payment link.
Frequently Asked Questions
Ready to get started?
Submit a service request — we confirm scope before any payment