Fragmented knowledge
Critical information is distributed across legacy systems, SharePoint, email, PDFs, and operating teams, making it hard for staff and AI systems to retrieve trusted answers.
Governed knowledge your teams can actually use
Turn policies, manuals, and case files into citation-aware answers across WhatsApp, webchat, email, and internal portals — with validation, RBAC, and audit trails.
Four barriers limit AI-enabled knowledge services
Service scalability ceiling
Manual service delivery cannot keep up with rising inquiry volume, creating slower response times and inconsistent service quality.
Governance gaps
Without validation workflows, outdated or erroneous content can reach employees, customers, or regulated service channels.
Disconnected channels
WhatsApp, web, email, and social channels often run independently, duplicating operational effort and producing inconsistent experiences.
Unified AI Knowledge Platform with RAG architecture
DocumentAI combines knowledge governance, document validation, omnichannel conversational AI, enterprise RBAC, audit trail, and analytics dashboards on a GPU-backed AI serving foundation.
Omnichannel conversational AI
Serve multi-turn conversations across WhatsApp, webchat, email, and Instagram DM with consistent responses and escalation handling.
Knowledge citation and validation
Ground responses in approved knowledge sources, show citations, and control publication through review workflows.
Hybrid AI plus human workflow
Handle common inquiries with AI and escalate complex or unresolved cases to human teams with useful conversation context.
Bahasa Indonesia and English
Support multilingual knowledge delivery for Indonesian enterprise operations and customer-facing service channels.
End-to-end architecture layers
| Layer | Components |
|---|---|
| Channel Layer | WhatsApp, Webchat, Email, Instagram DM |
| AI Orchestration Layer | Intent Detection, Dialogue Manager, RAG Retrieval, LLM Response Generation |
| Knowledge Layer | Knowledge Base, Document Vectorization, Embedding Store, Validation Workflow |
| Inference Layer | Qwen / Llama, GPU Cluster H100, vLLM Serving, FP16 / FP8 quantization |
| Data & Security Layer | PostgreSQL, Redis, MinIO, RBAC, Audit Log |
Governance flow and secure access
Upload
Knowledge owners upload policy documents, FAQs, manuals, product references, and service procedures.
Classification
Content is classified and prepared for vectorization, metadata tagging, and access policy alignment.
Review
Subject matter experts validate accuracy, scope, freshness, and publication readiness.
Approve or reject
Governance teams approve trusted content or reject items that require revision before use by AI channels.
Publish
Approved content becomes available to the retrieval layer and conversation channels with audit traceability.
SSO and RBAC
Use SSO, Microsoft Entra ID / Azure AD, role-based access, session management, and audit logs for enterprise control.
Measure service quality and improvement loops
Total interactions
Track demand, volume patterns, and channel adoption across digital service channels.
Response success rate
Measure answer quality and identify knowledge areas that need improvement.
Escalation rate
Monitor when AI needs human support and tune workflows to reduce avoidable escalations.
Unresolved inquiries
Identify knowledge gaps, missing documents, and validation backlog priorities.
Channel distribution
Understand where users engage, from WhatsApp to webchat, email, and Instagram DM.
Frequently asked questions
How is DocumentAI different from a generic chatbot?
DocumentAI adds governed ingestion, validation, metadata, permissions, retrieval, citations, audit trails, analytics, and workflow integration instead of relying only on open-ended model responses.
Can answers include citations?
Yes. RAG-backed responses can be grounded in approved sources and surfaced with citations so users can verify the source of an answer.
Which channels can be integrated?
Typical channels include webchat, WhatsApp, email, internal portals, and social messaging, with human escalation where required.