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BilgeQor

AI Usage Rules & Data Safety Review

From VND 97,500,000~US$3,770Reference date: Oct 9, 2026 · Local price is authoritative; this is not a payment or settlement rate.

Buyer outcome

A practical AI usage rules and data safety review for your Vietnamese business — written rules covering which AI tools are approved, which data employees may share with AI, and what approval steps apply. Delivered as a usable internal guide, not legal advice or a compliance certification.

Why security-led AI usage rules matter

When employees use AI tools without clear rules, sensitive data can leave your business without anyone noticing — customer records, order details, employee information, or financial figures shared with consumer AI services that may retain or train on user inputs.

This review focuses on uncontrolled employee AI usage via personal devices and consumer AI tools, sensitive customer data exposure when staff paste Zalo or Messenger inquiry details into AI tools to draft responses without data boundary rules, unclear approval rules, absence of written AI usage policies, third-party AI tool risk where data storage and handling are unclear, and AI outputs acted on without human review. Vietnamese employees in e-commerce, logistics, and support roles commonly use consumer AI tools to handle customer inquiries — this review establishes written boundaries for that practice.

BilgeQor's AI services are built around written scope, approved data sources, permission boundaries, human approval points, and review before wider rollout. We do not provide legal advice, compliance certification, or guaranteed coverage of any Vietnamese data protection regulation.

Scope drivers

Number of teams or departments covered
Sensitivity of customer, employee, financial, or operational data
Current employee use of consumer AI tools — ChatGPT, Gemini, Copilot, or others, including on personal phones via Zalo or browser
Vendor and third-party AI tool review depth
Required stakeholder involvement
AI usage rules and approval matrix depth
Data boundary requirements reflecting Vietnam-appropriate data handling practices

Ideal for

  • Vietnamese businesses where employees already use AI tools — with or without formal guidance
  • Teams handling customer data, employee records, financial information, or operational documents
  • E-commerce, logistics, clinic, school, and support teams where staff routinely process customer inquiries using consumer AI tools
  • Businesses that want clear written AI usage rules before rolling out AI more widely
  • Management teams that need a practical starting point for safe employee AI usage

What is included

  • AI usage pattern review
  • Approved, restricted, and prohibited use-case guidance
  • Sensitive data handling guidance
  • Human approval matrix
  • Vendor and AI tool risk checklist
  • Employee-facing AI usage rules
  • Misuse escalation path
  • Written AI usage rules summary

What is not included

  • Legal advice
  • Formal compliance certification or audit
  • ISO, SOC, or regulatory certification
  • Employee surveillance programme
  • DLP, IAM, or monitoring tool deployment
  • Full enterprise risk management programme
  • Guaranteed compliance with any regulation

Delivery process

1

Current AI usage intake

Confirm departments, tools in use, data exposure, and stakeholders in writing before review work begins.

2

Data and workflow risk mapping

Map sensitive data types, current AI usage patterns, and approval gaps across in-scope teams — with attention to Zalo and consumer AI tool usage common in Vietnamese workplaces.

3

Rules and control drafting

Draft approved, restricted, and prohibited use cases, plus the approval matrix and employee-facing AI usage rules.

4

Walkthrough and adoption guidance

Written AI usage rules summary and a walkthrough call covering rollout, escalation path, and review cadence.

Representative deliverable

AI Usage Rules + Data Safety Checklist

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.