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BilgeQor

Internal Knowledge Assistant

From PHP 445,000~US$7,080Reference date: Oct 9, 2026 · Local price is authoritative; this is not a payment or settlement rate.

Buyer outcome

A searchable internal knowledge assistant built from your approved SOPs, FAQs, product notes, service notes, and onboarding material — giving your Philippine 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 Unapproved sources, outdated content, or weak access boundaries can expose internal information to the wrong people — or produce confident-sounding answers that are wrong or out of date.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 — including informal documents circulated in group chats, internal information exposure across team or role boundaries, retrieval errors from conflicting or outdated documents, knowledge-base poisoning risk, and over-trusting AI answers without human review for sensitive or regulated cases. Philippine businesses often operate with informal documentation practices — establishing a document approval and review cycle is part of what this sprint delivers.

BilgeQor's AI services are built around written scope, approved data sources, permission boundaries, human approval points, and review before wider rollout.

Scope drivers

Number and type of approved knowledge sources
Document volume and content readiness
Internal user groups and access boundaries required
Sensitivity of operational, HR, product, support, or commercial information
Existing tools — Google Drive, SharePoint, Notion, Confluence, or helpdesk knowledge bases
Source citation or visibility requirements
Reliability testing depth and rollout support needs

Ideal for

  • Philippine SMEs with internal knowledge scattered across documents, group chats, 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

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

1

Knowledge intake

Review approved sources, intended users, current knowledge pain points, sensitivity boundaries, and access expectations.

2

Scope and boundary design

Define what the assistant may answer, which sources it may use, and which content should remain excluded or restricted.

3

Assistant preparation

Prepare the knowledge structure, answer rules, reliability tests, and staff usage guidance.

4

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.