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BilgeQor

AI Usage Rules & Data Safety Review

From PHP 220,000~US$3,500Reference 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 Philippine 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 a compliance audit or legal document.

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, employee information, financial figures, or internal documents shared with public AI services accessed on personal phones or devices.

This review focuses on uncontrolled employee AI usage, sensitive data exposure through public AI tools — particularly via personal devices common in Philippine workplaces, unclear approval rules, absence of written AI usage policies, third-party AI tool risk where data storage and handling are unclear, and AI-generated outputs acted on without human review. Philippine businesses face specific risk from employees pasting customer PII or pricing data into consumer AI tools without realising the data may be retained or used for training.

BilgeQor's AI services are built around written scope, approved data sources, permission boundaries, human approval points, and review before wider rollout. Our AI services are designed around written data boundary agreements, approved data sources, and defined handling rules — reflecting data discipline consistent with Philippine privacy expectations. We do not provide legal advice, Data Privacy Act compliance certification, or NPC filing services.

Scope drivers

Number of teams or departments covered
Sensitivity of customer, employee, financial, or operational data
Current employee use of public AI tools — ChatGPT, Gemini, Copilot, or others, often on personal phones
Vendor and third-party AI tool review depth
Required stakeholder involvement
AI usage rules and approval matrix depth
Data boundary requirements relevant to Philippine privacy expectations and applicable data protection obligations

Ideal for

  • Philippine businesses where employees already use AI tools — with or without formal guidance
  • Teams handling customer data, employee records, financial information, or operational documents
  • 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
  • Organisations that want controlled adoption rather than a blanket prohibition

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
  • NPC registration, filing, or Data Privacy Act audit

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.

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, and data context. We will respond with a written scope and confirmed deliverables before any commitment.