What you get
A searchable internal knowledge assistant built from your approved SOPs, FAQs, product notes, service notes, and onboarding material — giving your team faster answers from knowledge you already have. Written scope and source approval confirmed before any payment or build commitment.
Why security-led AI integration matters
An internal knowledge assistant draws answers directly from your business documents. Unapproved sources, outdated content, or weak access boundaries can expose internal information to the wrong people — or produce confident-sounding answers that are wrong or out of date.
This sprint focuses on unapproved source material entering the assistant, internal information exposure across team or role boundaries, retrieval errors from conflicting or outdated documents, knowledge-base poisoning risk, and over-trusting AI answers without human review for sensitive cases.
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
- Malaysian SMEs with internal knowledge scattered across documents, WhatsApp groups, or informal team practices
- Support, sales, operations, or onboarding teams that repeatedly search for the same approved information
- Businesses that lose institutional knowledge through staff turnover or informal handoffs
- Leaders who need access boundaries and written scope before introducing an internal AI assistant
- Teams preparing a controlled first AI assistant before broader AI adoption
Included
- Knowledge source inventory
- Content readiness and risk review
- Assistant scope definition
- Access boundary and usage notes
- Retrieval and knowledge structure recommendations
- Reliability test scenarios
- Staff-facing usage guidance
- Written implementation summary
Excluded
- Uploading all company documents without review
- Full data classification programme
- Legal advice or formal compliance certification
- Unlimited knowledge source cleanup
- Role-based access engineering beyond agreed scope
- Full intranet, CRM, or document-management rebuild
- Payment before written scope is confirmed
How it works
Knowledge intake
Review approved sources, intended users, current knowledge pain points, sensitivity boundaries, and access expectations.
Scope and boundary design
Define what the assistant may answer, which sources it may use, and which content should remain excluded or restricted.
Assistant preparation
Prepare the knowledge structure, answer rules, reliability tests, and staff usage guidance.
Review and handoff
Walk through the assistant scope, limitations, test results, and next implementation steps.
Representative deliverable
Knowledge Source Inventory + Assistant Reliability Test Set
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