Internal Knowledge Assistant
Buyer outcome
A searchable internal knowledge assistant built from your approved SOPs, FAQs, product notes, service notes, and onboarding material — giving your Thai team faster answers from knowledge you already have. Designed for businesses where company knowledge is scattered across LINE group chats, informal documents, and personal devices. 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 Unapproved sources, outdated content, or weak access boundaries can expose internal information to the wrong people — or produce confident-sounding answers that are wrong or out of date.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 knowledge sources — including LINE chat exports, personal notes, and informal policies entering the knowledge base without review, outdated hospitality or product information causing incorrect customer-facing answers, retrieval errors in Thai-language content especially where transliteration and colloquial Thai create ambiguity, knowledge-base poisoning where staff insert incorrect policies or promotional content, and no access boundary between customer-facing and internal-only knowledge content. Data handling is structured around Thailand-appropriate data handling practices and applicable personal data protection obligations.
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
- Thai businesses with internal knowledge scattered across LINE groups, informal documents, or personal devices
- Hospitality teams where procedures are shared via LINE group chats and undocumented staff practices
- Support, sales, operations, or onboarding teams that repeatedly search for the same approved information
- Businesses that lose institutional knowledge through staff turnover — common in Thai hospitality and retail
- Leaders who need access boundaries and written scope before introducing an internal AI assistant
What is 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
What is not included
- 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 or checkout before written scope is confirmed
Delivery process
Knowledge intake
Review approved sources, intended users, current knowledge pain points, sensitivity boundaries, and access expectations — including assessment of LINE chat exports and informal documentation.
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 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.