AI Solutions (Operations)

AI Knowledge Base—Ask Your SOPs and Policies; Get Cited Answers, Not Hallucinations

Teenva AI & Digital Ventures builds internal AI knowledge bases for operations, HR, IT, and support teams from Bangalore, India. Staff ask “What’s the refund SOP?” or “How do I provision AWS access?”—the assistant answers from your policies, SOPs, and runbooks with citations, role-based access, and content workflows—fed by document processing and governed by workflow automation for publish approval.

Confluence search returns titles; employees still Slack each other. Teenva delivers curated KB + RAG chat on intranet, Slack/Teams, or custom portal—with analytics on gaps and stale articles.

AI knowledge base internal RAG by Teenva AI

Build your AI solution with us

AI knowledge base—SOPs, policies, and runbooks searchable by chat with citations and access control.

Hub: AI solutions · Domain: Operations & Management

sales@teenvaai.com · +91 9572020107

What employees search

Content typeExamples
SOPs / playbooksEscalation steps, onboarding checklist
HR policiesLeave, expense, code of conduct
IT runbooksVPN, password reset, incident response
Product / ops docsFeature flags, pricing rules (internal)
Support macros (scoped)Approved customer reply snippets
Legal / compliance (scoped)Contract clause summaries—read-only
Training materialsHow-to videos transcribed and indexed
Approved contracts (scoped)From document processing archive

Answers cite source article—version and last-updated visible.

Features we implement

  • RAG chat

    Natural language Q&A with snippet citations
  • Classic search

    Keyword + semantic hybrid results page
  • Role-based access

    HR docs not visible to all roles; SSO groups (scoped)
  • Content CMS

    Draft → review → publish; owner and expiry dates
  • Connectors (scoped)

    Confluence, Notion, Google Drive, SharePoint sync
  • Slack / Teams bot

    /ask-kb in channel with thread citations
  • Intranet embed

    Widget on business website or internal portal
  • Gap analytics

    Unanswered questions → content backlog
  • Feedback

    Thumbs down triggers article improvement ticket
  • Multilingual (scoped)

    Hindi/English articles with per-locale index
  • Eval harness

    Regression on critical policy questions
Slack internal knowledge bot
AI knowledge base chat UI cited SOP answer mockup

Intranet embed on business website or internal portal.

Architecture

  1. Content sources (CMS, Confluence, IDP archive, uploads)

  2. Ingest pipeline (chunk, embed, metadata: role, dept, version)

  3. Vector index + access control filter

  4. Query: chat or search → retrieve → LLM answer with citations

  5. Analytics (queries, gaps) + optional ticket to workflow automation

  6. Re-index on publish webhook

AI knowledge base RAG architecture diagram access control
  • Private LLM — Azure OpenAI / VPC models; no training on your data by default (scoped)
  • ACL at retrieval — Chunks filtered by user permissions before LLM sees them

Use cases by team

TeamValue
OperationsStandard work instructions without hunting PDFs
HRPolicy Q&A; deflect repeat emails to HRBP
IT helpdeskRunbook answers before ticket create
Customer supportInternal-only product truth for agents
Sales (scoped)Battlecards and objection handlers cited
New hiresOnboarding “what do I do day 1?”
AI knowledge base use cases HR IT ops support onboarding

Integrations

SystemRole
Document processingAuto-index via AI document processing
Workflow automationPublish approval via workflow automation AI
Zoho Desk / CRMLink articles via Zoho integration (scoped)
SSO / IdP (scoped)Okta, Azure AD group → ACL
API integration servicesLegacy wiki via API integration services
RAG enterprise searchAdvanced layer via RAG enterprise search

ChatGPT doesn't know your 2024 leave policy.

We index your approved articles with permissions—so interns don't see executive comp bands.

Knowledge base vs related products

ProductFocus
AI knowledge baseCurated internal KB + chat + CMS lifecycle
RAG enterprise searchBroad enterprise search across many silos
AI document processingExtract structured data from incoming files
Workflow automation AIApprovals and system actions
Meeting intelligence AIMeeting notes → optional KB draft (scoped)
Customer FAQ botsExternal-facing— travel, ecommerce siblings

Why Teenva AI

  • KB product, not demo RAG

    CMS, ACL, analytics, and chat together
  • Ops-first

    SOP accuracy and citation matter more than flashy UI
  • India teams

    Hindi content, shift-handover runbooks, WhatsApp internal bot (scoped)
  • Content gap loop

    Unanswered queries become assigned articles
  • Ops

    Managed IT support when connectors break
Why Teenva AI for internal knowledge base

Managed IT support when connectors break. Fed by document processing.

Delivery process

AI knowledge base implementation process
  1. Discovery

    Teams, content sources, SSO, compliance constraints

  2. Content audit

    Top 50 questions; find canonical answers or gaps

  3. IA & permissions

    Spaces, roles, review owners

  4. Ingest v1

    Priority SOPs and policies indexed

  5. Chat + search UI

    Intranet or Slack bot MVP

  1. Eval set

    HR/IT policy questions must cite correctly

  2. Publish workflow

    Hook to workflow automation (scoped)

  3. Pilot

    One department; measure deflection

  4. Expand

    Connectors, languages, customer-facing subset (scoped)

Frequently asked questions

Complement or front—connectors sync content; KB adds RAG chat + ACL analytics.

Citations required; low-confidence → “not found”; critical topics in eval suite.

Policies + optional PII redaction; audit logs; training (scoped).

Yes (scoped)—groups map to collection ACL at retrieval time.

Expiry dates + owner reminders; analytics flag old sources still queried.

Both common—same index, different surfaces.

Knowledge base = curated internal KB product; enterprise search = wider federated search program.

Use domain bots—this page is internal; external scoped separately.

Vector index and LLM in your VPC (scoped).

8–10 weeks MVP (200 articles + chat + SSO) with content ready from your team.

Build your internal AI knowledge base

Build your AI solution with us—SOPs, policies, and runbooks searchable by chat with citations and access control.

Build your AI solution with us

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