Internal Knowledge Assistant
Buyer outcome
A controlled internal knowledge assistant for Hong Kong businesses — built against approved internal documents and sources, with documented data boundaries, role-limited access, and human review guidance. Designed for professional services, financial operations, trading, and compliance-aware teams that need controlled internal knowledge retrieval without public AI model exposure. No deposit, invoice, or payment link is issued before written scope is confirmed.
Why controlled knowledge boundaries matter for Hong Kong firms
Internal knowledge assistants in professional services and financial operations environments access documents that may include client records, legal opinions, financial reports, HR policies, and operational procedures. Without defined source boundaries and role-limited access, sensitive information becomes accessible beyond its intended audience — a risk that is difficult to detect and harder to explain to clients or insurers.
This assistant is built around documented source restrictions that define exactly which documents are accessible, role-based access controls that limit retrieval to users with appropriate access, confidence boundary handling that surfaces low-confidence responses for human review rather than presenting uncertain outputs as authoritative, and data boundary documentation that your team can present to management or use to respond to client security questionnaires.
BilgeQor builds internal knowledge assistants around confirmed, permission-limited data sources only. The assistant does not access documents or systems outside the agreed scope. This is a design requirement — not a configuration option.
Scope drivers
Ideal for
- Hong Kong professional services, legal, financial, or compliance-adjacent teams needing controlled internal document retrieval
- Operations and administrative teams handling large volumes of internal procedures, policies, and reference documents
- Firms that need internal AI assistance without routing sensitive documents through public AI services
- Management teams that require documented data boundaries and role-based access before any assistant is deployed
- Teams that need a human escalation path built in — not a fully autonomous knowledge source
What is included
- Knowledge source review and ingestion boundary documentation
- Approved document and data source confirmation in writing
- Access scope and role-based retrieval configuration
- Confidence handling and human escalation path design
- Usage guidelines and data boundary documentation
- Testing against confirmed knowledge sources
- Handoff documentation and review call
What is not included
- Public or customer-facing knowledge base
- Legal advice or PDPO compliance certification
- Unlimited document ingestion or source expansion
- Guaranteed retrieval accuracy for all query types
- Ongoing 24/7 operations or maintenance
- CRM, ERP, or document management platform rebuild
- Direct checkout or payment before written scope confirmation
Delivery process
Knowledge scope intake
Confirm approved document sources, access scope, role boundaries, data sensitivity, and delivery expectations in writing before build work begins.
Source preparation and boundary documentation
Prepare approved knowledge sources and document data boundaries, access rules, and confidence handling approach in writing.
Assistant build and configuration
Build the internal assistant against confirmed knowledge sources with role-limited access and human escalation path as agreed.
Testing and handoff
Test assistant against confirmed sources and query types. Deliver usage guidelines, boundary documentation, and handoff call.
Representative deliverable
Internal Knowledge Assistant + Data Boundary Documentation + Usage Guidelines
All AI services are request-first. Scope is confirmed in writing before any payment, deposit, or implementation commitment.