GUIDE: Governed Unified Intelligence for Document-to-Artifact Generation in Enterprise Settings

Source

• Source name: arXiv
• Source kind: paper
• Authors / organization: Shivali Dalmia, Sumukha Thoppanahalli, Mohammadreza Sediqin, Abhishek Mukherji
• Venue: arXiv: cs.AI
• Published: 2026-08-12
• Collected: 2026-08-13
• URL: http://arxiv.org/abs/2608.12133v1
• PDF: https://arxiv.org/pdf/2608.12133v1
• DOI: UNKNOWN
• Registry group: academic_apis_and_preprints
• Evidence role: canonical_academic_index
• Language: en
• Country / region: UNKNOWN

Plain-Language Brief

The paper introduces GUIDE, a framework designed to automate the creation of enterprise guideline documents. The system uses six specialized agents to parse, extract, check consistency, evaluate, escalate human intervention when needed, and generate persona-tailored artifacts. The study reports that GUIDE was successful in 96% of tested documents, extracted over 3800 rules, produced 812 deployment-ready artifacts, and reduced the turnaround time to between 40 and 125 minutes per document.

What the Document Says

• The paper presents GUIDE, a framework for automating enterprise guideline document creation.
• GUIDE consists of six specialized agents.
• The agents are responsible for parsing, extraction, consistency checking, evaluation, human-in-the-loop (HITL) escalation, and artifact synthesis.
• Evaluation on 120 real-world enterprise guideline documents shows that GUIDE achieved a success rate of 96%.
• It extracted 3896 rules with 71.4% auto-approved.
• The system produced 812 deployment-ready artifacts.
• GUIDE reduced the turnaround time to between 40 and 125 minutes per document.

Key Concepts Mentioned

• Enterprise Guideline Documents
• Automation
• Multi-agent Framework
• Parsing
• Extraction
• Consistency Checking
• Evaluation
• Human-in-the-Loop (HITL) Escalation
• Artifact Synthesis

Claims Made by the Document

• GUIDE can automate the creation of enterprise guideline documents.
• GUIDE reduces turnaround time to between 40 and 125 minutes per document.

Evidence Used

• The paper presents GUIDE's structure and functionality.
• The evaluation results are provided in the paper.

Methods / Approach

UNKNOWN

Limitations Stated by the Authors

UNKNOWN

Limitations Noted by the Agent

Agent interpretation — not from the source.

UNKNOWN

Open Questions

UNKNOWN

Notes for Future Q&A

May include interpretation. Labeled where it does.

UNKNOWN

Raw Abstract / Excerpt

Enterprise guideline documents are heterogeneous and multimodal, combining narrative text, complex tables, and embedded images. Existing LLM and VLM systems face hallucinated content, table structure degradation, and lack governed workflows extending beyond extraction to validation and artifact generation. This leaves enterprises to perform this manually, consuming 2-3 days per document. To address this, we introduce GUIDE, a governed multi-agent framework built on a shared versioned rule store with schema-validated inter-agent contracts and end-to-end provenance tracking. Six specialized agents handle parsing, VLM-driven extraction, consistency checking, evaluation, human-in-the-loop (HITL) escalation, and persona-tailored artifact synthesis. Evaluated on 120 real-world enterprise guideline documents, GUIDE achieves 96% document success, extracts 3,896 rules with 71.4% auto-approved, produces 812 deployment-ready artifacts, and reduces turnaround to 40-125 minutes per document.