AI Governance & Policy Review
What you get
A practical AI usage and data safety review for Indonesian businesses — 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 policy, not a compliance audit.
Why security-led AI integration matters
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 that retain or train on inputs.
This review focuses on uncontrolled employee AI usage, sensitive data exposure through public AI tools, unclear approval rules, vendor and third-party AI tool risk, policy gaps that leave data handling to individual judgment, and AI outputs acted on without human review.
BilgeQor's AI services are built around written scope, approved data sources, permission boundaries, human approval points, and review before wider rollout.
Scope drivers
Ideal for
- Indonesian 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 practical written rules before rolling out AI more widely
- Management teams that need a starting point for safe employee AI usage
- Organisations that want controlled adoption rather than a blanket prohibition
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
Excluded
- 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
How it works
Current AI usage intake
Confirm departments, tools in use, data exposure, and stakeholders in writing before review work begins.
Data and workflow risk mapping
Map sensitive data types, current AI usage patterns, and approval gaps across in-scope teams.
Policy and control drafting
Draft approved, restricted, and prohibited use cases, plus the approval matrix and employee-facing usage 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 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