AI Governance, Policy & Data Safety Review
Buyer outcome
A practical AI usage and data safety review for Singapore-based teams, with written rules, approval boundaries, and governance recommendations before wider AI rollout.
Why security-led AI integration matters
AI workflows often connect to documents, customer channels, internal tools, APIs and business systems. Each connection can introduce new risks: data exposure, prompt injection, unsafe outputs, excessive permissions, tool misuse and unclear accountability.
This review focuses on uncontrolled employee AI usage, sensitive data exposure, policy gaps, vendor risk and unclear approval rules.
BilgeQor's AI services are designed around written scope, approved data sources, permission boundaries, human approval points and review before wider rollout.
Scope drivers
Ideal for
- Singapore-based companies where employees already use AI tools
- Teams handling customer, commercial, HR, legal, or operational data
- Businesses preparing for customer security questionnaires or vendor reviews
- Management teams that need practical AI usage rules
- Organisations that want controlled adoption rather than 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 governance summary
What is not included
- Legal advice
- Formal compliance certification
- ISO, SOC, or regulatory certification
- Employee surveillance programme
- DLP, IAM, or monitoring tool deployment
- Full enterprise risk management programme
Delivery process
Current AI usage intake
We confirm departments, tools in use, data exposure, and stakeholders in writing before review work begins.
Data and workflow risk mapping
We map sensitive data types, current AI usage patterns, and approval gaps across in-scope teams.
Policy and control drafting
We draft approved, restricted, and prohibited use cases, plus the approval matrix and employee-facing rules.
Walkthrough and adoption guidance
Written governance summary and a walkthrough call covering rollout, escalation, and review cadence.
Representative deliverable
AI Usage Policy + 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.