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AI-Powered Knowledge Management

Preserve Expertise.
Answer Questions Instantly.
Strengthen Teams.

Turn any business information — conversations, decisions, documents, diagrams — into structured, accessible knowledge that's instantly shareable across your entire organization. Explicit or implicit, nothing gets lost.

How It Works

See Wissenswerk in Action

Step through the core workflows that make Wissenswerk the most effortless way to build organizational knowledge.

Step 01 — Connect Your Knowledge

Import All Existing Knowledge Automatically

Before Wissenswerk captures new knowledge, it ingests what you already have. Upload files directly or connect integrations like Confluence — all existing explicit knowledge is indexed automatically, making your organization's full history searchable from day one.

  • Drag-and-drop PDF, DOCX, XLSX, and more
  • Confluence integration — sync entire workspaces in one click
  • Scheduled re-sync keeps every source continuously up to date
See all integrations
Knowledge Sources
File Upload
Q4 Engineering Decisions.pdf
Onboarding Handbook v3.docx
Integrations
Confluence
Confluence
Syncing workspace...
0 pages
Knowledge base ready — 247 documents indexed and searchable
Step 02 — Visual Knowledge

Knowledge Extracted From Every Image and Diagram

Wissenswerk processes more than text. Upload whiteboard photos, architecture diagrams, and screenshots — or attach image-rich documents including PDFs, DOCX files, presentations, and any other uploadable file format. The AI reads every visual, extracts entities, relationships, and annotations, and adds them to your searchable knowledge base automatically.

  • Whiteboard photos, diagrams, and screenshots
  • Images embedded in PDFs, presentations, and all other supported document formats
  • Charts and graphs interpreted as structured, queryable knowledge
Visual Knowledge Extraction
whiteboard_arch_review.jpg
Client API Gateway DB Cache (Q2) Auth: JWT — see ADR-12 Redis for session cache Rate limit: 1000 req/min
Extracted Knowledge
3-tier system: Client → API Gateway → Database
Auth standard: JWT (ref. ADR-12)
Rate limit: 1,000 req/min on API Gateway
Planned: Redis caching layer (Q2)
Images embedded in PDFs, presentations, and other supported document formats are processed the same way
Step 03 — AI Interview

Conversational Debriefs That Feel Natural

Wissenswerk's AI conducts short, structured interviews with team members — like a quick check-in, not a form. It captures decisions, progress, blockers, and insights through natural conversation via voice or chat.

  • Real-time voice and chat interface
  • Context-aware follow-up questions
  • Takes under 5 minutes per session
AI Debrief Session
Hi! Let's do a quick debrief. What did you work on today?
JM
Finished the authentication module refactor. Switched from session-based to JWT tokens. Had to update 12 API endpoints.
Got it. What was the main reason for switching to JWT? Any trade-offs the team should know about?
JM
Scalability — sessions don't work well across multiple server instances. Trade-off is we need a token refresh strategy now. I went with rotating refresh tokens.
Great context. I'll document the architecture decision and the refresh token strategy. Any blockers for tomorrow?
Step 04 — Knowledge Structuring

Every Input Becomes Structured, Retrievable Knowledge

Regardless of origin — a team debrief, an uploaded document, a Confluence page, or a diagram — Wissenswerk normalizes all incoming knowledge into a unified, structured format. Every piece is tagged, categorized, versioned, and indexed for precise retrieval. Nothing gets lost, nothing stays unstructured.

  • Unified structure across all source types
  • Auto-tagged and categorized for fast retrieval
  • Versioned history — every update tracked
Knowledge Structuring
Debrief PDF Upload Diagram Confluence
Authentication Architecture: JWT Migration
Structured from 4 sources · indexed & retrievable
Architecture Authentication JWT Backend ADR
Step 05 — Ask Astra

Instant Answers From Your Knowledge Base

Astra is your AI knowledge assistant. Ask any question in natural language and get precise answers sourced directly from your organization's documentation — not generic training data.

  • Smart deep search in seconds
  • Source citations with every response
  • Ideal for onboarding and decision support
Astra AI Assistant
Step 06 — Knowledge Map

Visualize How Knowledge Connects

See your entire organizational knowledge as an interactive graph. Topics, authors, and categories form a living network that evolves as your team documents more. Drill into any node to reach the source document instantly.

  • Sunburst, tree, and folder views
  • Filter by author, topic, or tag
  • Click any node to navigate to documents
Knowledge Overview
Step 07 — Conflict Detection

Catch Contradictions Before They Cause Problems

Wissenswerk continuously monitors your knowledge base for conflicting information. When a new document contradicts an existing one, the system flags it immediately — keeping your documentation accurate and trustworthy.

  • Automatic contradiction detection
  • Side-by-side conflict comparison
  • Configurable auto-resolution thresholds
Conflict Detection
Existing Document
Deployment uses a blue-green strategy with a 30-minute rollback window.
Blue-green deployment
New Document
Production deployments follow a canary release pattern with 5% initial traffic.
Canary release pattern
Conflict detected: Deployment strategy differs between documents. The existing doc references blue-green deployment, while the new doc describes canary releases. Review recommended.
Pricing

Simple, Transparent Pricing

Choose the deployment option that best fits your organization.

On-Premise Solution

Need More Information?
Let's Talk

Interested in learning more about Wissenswerk or discussing on-premises deployment options? Get in touch with our team.