FluxWise 智流科技
Scenario Solution

Enterprise Knowledge & Policy Management

Extract policies, processes, product knowledge, and organizational experience from scattered documents — creating a role-aware, permission-controlled enterprise knowledge portal.

The real difficulty in knowledge Q&A is permissions, versions, and process linkage

Enterprise knowledge cannot be just broad search — it must account for role differences, version status, policy boundaries, and downstream action linkage.

  • The same question yields different answers for different roles and departments — employees receive contradictory responses.
  • Policy versions update frequently, outdated documents are not cleaned up promptly, leading to inconsistent messaging and execution deviations.
  • Knowledge Q&A and process execution are disconnected — employees find the policy but do not know who to contact next or what to do.
  • Knowledge is scattered across OA announcements, department network drives, shared documents, and personal notes — retrieval efficiency is extremely low.
  • New employee onboarding and role transfers lack systematic knowledge guidance — self-learning costs are high and mistakes are common.

System Integration

Connected Systems

Document SystemKnowledge BaseWeComService DeskOA SystemTraining Platform

Business Capabilities

Automation Capabilities

Policy retrievalProcess guidanceVersion trackingApplication status queriesKnowledge graph constructionSmart recommendations

Execution Flow

How the AI Agent Executes

1

Identify the questioner's role, department, and context to determine knowledge retrieval scope and priority

2

Retrieve the latest version of policy documents from multi-source knowledge bases — return precise answers with version labels and applicability scope

3

When answers involve process execution, automatically guide users to the corresponding approval or processing portal, reducing intermediate steps

4

Log unanswered questions and low-satisfaction feedback — auto-flag knowledge gaps and alert knowledge managers to fill them

5

Preserve high-frequency Q&A as structured knowledge entries, continuously improving knowledge base coverage and answer accuracy

Expected Results

Expected Results

Repetitive policy inquiries reduced by 60%+

Knowledge retrieval accuracy improved to 90%+

Average employee path from question to action shortened by 70%

After policy updates, organization-wide alignment shortened from days to instant

Knowledge base coverage continuously improves with gap areas automatically visualized

Security Controls

Governance Mechanisms

Role-based permissions
Version control
Sensitive knowledge boundaries
Audit logs
Knowledge change review

FAQ

Frequently Asked Questions

Why does knowledge Q&A also need an execution engine?
Because enterprise knowledge scenarios go beyond answering questions — they involve permission control, version tracking, process linkage, and long-term accumulation. For example, when an employee asks 'What is the travel reimbursement policy?', the system should not only give the correct answer but also return the relevant standard by role and guide them into the reimbursement process.
Can we start with HR/admin policies?
Yes, and it is typically a low-barrier, high-visibility entry point. HR and admin policy inquiries are frequent and highly standardized — ideal for quickly validating the knowledge management system's effectiveness.
How do we ensure knowledge base content stays up to date?
The system automatically monitors policy document version changes — new versions are auto-updated in the knowledge base and old versions are flagged as expired. Unanswered questions and user feedback also continuously surface knowledge gaps, driving administrators to fill them.

Start with this scenario — run through your first workflow

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