AI Lab
ENTERPRISE RAG SYSTEMS

Enterprise Policy & Handbook Copilot.

A grounded semantic retrieval and synthesis system enabling employees to query complex HR handbooks, IT security policies, and standard operating procedures with character-level passage citations and zero open-web contamination.

START THIS PROJECT →ALL USE CASES
HYBRID SEARCHDense vector embeddings fused with BM25 sparse keyword matching for exact terms
EXACT CITATIONCharacter-level citations with clickable source links; declines to answer if absent
RBAC FILTEREDDocument-level access control synchronized with Okta, Azure AD, or Google Workspace
0% IPComplete RAG pipeline, chunking heuristics, and UI integrations owned by client
/ 01SYSTEM ARCHITECTURE SPECIFICATION

System Architecture Specification

Production architectural parameters, integration boundaries, and deterministic safety rails for this system:

INGESTION CORPUS & CONNECTORSContinuous automated synchronization across Confluence, Notion, SharePoint, Google Drive, internal wikis, and PDF policy manuals.
HYBRID RETRIEVAL PIPELINEDense vector embeddings (BGE / Cohere / OpenAI) combined with BM25 sparse keyword matching and reciprocal rank fusion (RRF) to capture both semantic intent and exact policy codes.
IDENTITY & ROLE-BASED ACCESS (RBAC)Permissions synchronized with Okta, Azure AD, or Google Workspace so employees only retrieve answers from documents their user group is authorized to view.
STRICT GROUNDING CONTRACTEvery statement in the synthesized response cites the exact document title, section header, and paragraph. If a question is not answered in the corpus, the system explicitly declines to answer.
/ 02OPERATIONAL EXECUTION PIPELINE

Operational Execution Pipeline

  1. STAGE/01
    Hierarchical Document IngestionDocuments are parsed preserving table structure, hierarchy, and revision dates; text is split into semantic chunks with inherited metadata.
  2. STAGE/02
    Hybrid Search & Query ExpansionUser inquiries are analyzed for domain terminology, mapped to dense and sparse indexes, and filtered by the user's RBAC credentials.
  3. STAGE/03
    Cross-Encoder Re-rankingThe top candidate passages pass through a cross-encoder re-ranking model to isolate the highest-relevance context passages.
  4. STAGE/04
    Verifiable Synthesis with LineageThe system generates a concise answer with clickable links to source documents, highlighting the exact supporting text.
/ 03EVALUATION & VERIFICATION PROTOCOL

Evaluation & Verification Protocol

How system accuracy, schema conformity, and safety are quantitatively benchmarked before production deployment:

INPUT SPECIFICATIONSPolicy document repositories or API credentials, identity provider schema, and a benchmark set of 30–50 high-priority employee questions with verified answers.
EVALUATION HARNESSAutomated RAG evaluation measuring context precision, context recall, faithfulness, and refusal correctness against out-of-scope queries.
PRODUCTION GATINGGround-truth validation review with HR/Legal stakeholders prior to enterprise Slack/Teams bot enablement.
DELIVERABLES & IPSlack/Teams enterprise bot, standalone web search portal, automated ingestion pipeline, continuous eval harness, and complete source code.
/ 04INITIATE TECHNICAL SCOPING

Initiate Technical Scoping

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/ 05TECHNICAL & OPERATIONAL QUESTIONS

Technical & Operational Questions

What happens when company policies conflict across different documents?

The system detects conflicting statements between documents, identifies which document has the most recent effective date, flags the contradiction in the response, and alerts HR/legal administrators.

How does the system stay current when a handbook is updated?

Incremental webhook listeners detect document updates in SharePoint, Confluence, or Google Drive, re-indexing changed sections within minutes without requiring full database rebuilds.

Can this system run inside Microsoft Teams and Slack?

Yes. We build native bot interfaces for Slack and Microsoft Teams with rich card layouts, interactive citation previews, and feedback thumbs for continuous model monitoring.

/ 06COMPLEMENTARY ARCHITECTURES

Complementary Architectures

Other production architectures frequently deployed alongside this system:

03

Customer Support & Triage Agent

Autonomous agent that resolves inquiries against internal documentation, executes account tools, and escalates edge cases with context.

Ready to engineer this enterprise policy & handbook copilot for your operations?

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