Knowledge Agents

Context-based answers. With source. With rule version.

A selection from over 5,000 projects in 25 years of software development

At a Glance

Source-Verified

Every answer with source reference, rule version, and validity date

5 Anti-Hallucination

Retrieval-first, source verification, confidence, no speculation, audit trail

4 Channels

Teams Bot, SharePoint, web interface, API - where your employees work

RAG Pipeline

Versioned indexing of all knowledge sources with automatic updates

Decision Layer

Confidence scoring and routing - on uncertainty, referral instead of answer

Instant Answers

Seconds instead of hours - consistent across all locations and time zones

Definition: Knowledge Agent

A Knowledge Agent is a specialized AI agent that delivers context-based answers from enterprise knowledge. It uses a RAG pipeline (Retrieval-Augmented Generation) to find relevant information from deposited documents and answer in the correct context.

Core principle: every answer includes the source reference and rule version. A Knowledge Agent never answers a question without a source reference.

Example

Question: "How many days of special leave do I get for relocation?"

Answer: "According to Company Agreement BV-2024-007, § 3 Para. 2 (Version 2024.2, effective since 01.04.2024), you are entitled to 2 working days of special leave for relocation. For employees covered by collective bargaining agreements, § 29 TV-L additionally provides 1 further day."

Source is provided
Rule version is documented
When interpretation is ambiguous: referral to HR

Knowledge Sources

Company agreements - versioned, with validity period
Collective bargaining agreements - per region, per entity
Internal policies - travel policy, expense policy, IT policy
Compliance handbooks - regulatory requirements
FAQ catalogs - frequently asked questions with verified answers
Process documentation - Standard Operating Procedures

Architectural Safety Against Hallucination

Retrieval-First: The agent searches for relevant documents before answering
Source verification: Every statement must be traceable to a specific source
Confidence score: With low confidence, no answer is given - instead, a referral
No speculation: When information is missing or contradictory, the agent refers to the responsible department
Audit trail: Every answer is documented with source, version, and confidence

Knowledge Agent vs. Enterprise Search vs. Standard Chatbot

	Knowledge Agent	Enterprise Search	Standard Chatbot
Result	Specific answer with source	List of documents	Generated answer without source guarantee
Source citation	Always - with version and validity	Link to document	None or unreliable
Hallucination	Architecturally prevented (5 measures)	Not applicable	Frequent - no control
On uncertainty	Refers to responsible department	Shows more results	Gives an answer anyway
Audit Trail	Complete per answer	Search log	Chat history

In Practice: HR Inquiries

Scenario: 200 HR inquiries per month (leave entitlements, special arrangements, company agreements)

Before (manual)

15 minutes per inquiry (HR researches, checks agreements, responds)
~50 hours per month
Inconsistent answers depending on the handler
Wait time for employees: hours to days

After (Knowledge Agent)

78% answered instantly (156 inquiries) - seconds instead of hours
22% escalated to HR (44 complex cases) - with context
~11 hours per month (escalations only)
100% consistent rule interpretation

Result: 39 hours saved per month. Employees receive a verified answer instantly. HR focuses on the complex cases that require genuine discretion.

Use Cases

HR & People Operations

Questions about company agreements, leave entitlements, special arrangements, parental leave, training budgets. Replacing the "just ask someone" principle.

Compliance & Regulation

Questions about internal policies, regulatory requirements, export control, data privacy. Consistent answers instead of individual interpretation.

Onboarding

New employees get immediate access to relevant enterprise knowledge - without waiting for available colleagues.

Integration

Microsoft Teams Bot - directly in daily work
SharePoint integration - embedded in the intranet
Web interface - standalone for complex queries
API - for integration into custom applications

Other Agent Types

The Specialist

Document Agents

Read, understand, and classify documents - with true language comprehension.

The Coordinator

Workflow Agents

Orchestrate processes across systems - SAP, DATEV, SharePoint.

Custom Agents

Co-Build

Your process, your agent. 4-6 weeks to a productive agent.

Deep Dive in the Agent Briefing

Our article series for decision-makers implementing AI agents in the enterprise.

Infrastructure

RAG & Document Intelligence: How AI Understands Your Documents

Governance

Human-in-the-Loop - Architectural Principle, Not Checkbox

Governance

Decision Layer - What It Is and Why Every Enterprise AI Agent Needs One

Knowledge Agent FAQ

What is a Knowledge Agent?

A Knowledge Agent is a specialized AI agent that delivers context-based answers from enterprise knowledge - company agreements, policies, collective bargaining agreements, compliance rules. Every answer includes the source reference and rule version. When unclear, the agent refers to the responsible department.

Does the Knowledge Agent hallucinate?

The Knowledge Agent is designed to answer only based on the deposited knowledge base. Every answer includes the source reference. When information is missing or contradictory, the agent doesn't answer but refers to the responsible department. Confidence scores and source verification reduce hallucination risk architecturally.

What knowledge sources are supported?

Company agreements, collective bargaining agreements, internal policies, compliance handbooks, FAQ catalogs, process documentation. Documents are indexed and versioned via a RAG pipeline (Retrieval-Augmented Generation).

What enterprise knowledge should your first Knowledge Agent unlock?

Talk to us about your specific use case.