AI Governance, Policy & Data Safety Review
Buyer outcome
A written AI governance policy and data safety review for Hong Kong businesses — covering approved, restricted, and prohibited AI use cases, data handling boundaries, human approval requirements, and vendor risk assessment. The primary first step for Hong Kong teams before widening AI access or presenting governance posture to clients, insurers, or management. No proposal, deposit, invoice, or payment link is issued before written scope is confirmed.
Why written AI governance is the right first step for Hong Kong businesses
Hong Kong businesses across professional services, financial operations, and trading typically already have employees using AI tools — ChatGPT for drafting, Copilot for document review, AI tools for research or translation. Without written rules, sensitive client data, financial information, and HR records are routinely entered into AI tools with no defined boundaries, retention controls, or human approval requirements.
This review focuses on uncontrolled employee AI usage with confidential client documents, data handling gaps where financial, legal, or HR data enters AI systems without documented restrictions, absent approval points for AI-generated content that influences client commitments, pricing, or legal positions, vendor data handling risks where third-party AI tools process Hong Kong business data without clearly understood retention or processing terms, and missing policy infrastructure needed to respond to client security questionnaires or management AI oversight requirements.
BilgeQor's AI governance review produces practical written rules and data safety guidance for internal use. It is not legal advice and it does not constitute formal compliance certification. Legal counsel should review final policy wording before distribution.
Scope drivers
Ideal for
- Hong Kong businesses where employees already use ChatGPT, Copilot, or similar tools with company documents
- Professional services, financial operations, trading, and logistics firms needing documented governance
- Management teams preparing for client security questionnaires, insurance reviews, or board AI oversight requirements
- Legal, compliance, or operations leads who need written usage rules before formal AI programme expansion
- Organisations that want controlled AI adoption with documented data handling — not a blanket prohibition
What is included
- AI usage pattern review across in-scope teams
- Approved, restricted, and prohibited use-case guidance
- Sensitive data handling guidance aligned to Hong Kong data protection expectations
- Human approval matrix and escalation path
- Third-party AI vendor and tool risk checklist
- Employee-facing AI usage rules document
- Misuse and escalation path
- Written governance summary
What is not included
- Legal advice or legal representation
- Formal PDPO compliance certification or audit
- ISO, SOC, or regulatory certification
- Employee surveillance or monitoring programme deployment
- DLP, IAM, or access control tool implementation
- Full enterprise risk management programme
- Direct checkout before written scope confirmation
Delivery process
Current AI usage intake
Confirm departments, tools in use, data exposure patterns, data sensitivity, and stakeholders in writing before review work begins.
Data and workflow risk mapping
Map sensitive data types, current AI usage patterns across in-scope teams, data handling gaps, and approval structure weaknesses.
Policy and control drafting
Draft approved, restricted, and prohibited use cases; data handling rules; the human approval matrix; and employee-facing usage rules aligned to Hong Kong operating context.
Walkthrough and adoption guidance
Written governance summary and a walkthrough call covering policy rollout, escalation path, vendor checklist findings, and recommended review cadence.
Representative deliverable
AI Usage Policy + Data Safety Checklist + Vendor Risk Summary
All AI services are request-first. Scope is confirmed in writing before any payment, deposit, or implementation commitment.