Capture expert knowledge
before it walks out the door
AI-guided voice interviews that turn decades of implicit process knowledge into structured, searchable documentation.
Critical process knowledge exists only in the heads of long-tenured experts. Retirement and turnover create irreversible knowledge gaps.
An AI interviewer conducts structured voice conversations, asks targeted follow-ups, and distills raw dialogue into clean knowledge artifacts.
Structured, searchable knowledge — approved by the expert, stored securely, available to the organization permanently.
How It Works
Four steps from assignment to approved knowledge.
Manager creates a knowledge topic and assigns an expert.
Expert has a voice conversation with the AI. Screen sharing captures visual context.
The system cleans the transcript, removes filler, and structures the content.
Expert reviews the summary, corrects if needed, and approves.
Capabilities
Contextual Interviews
Builds on prior sessions, references uploaded documents, and adapts questions to the expert's domain and experience level.
Multi-Language
Conducts interviews in German and English. Automatically adapts to the language configured per task.
Multi-Provider AI
Runs on Google Gemini, Azure OpenAI, or AWS Bedrock. Provider routing is configurable per organization or per user.
Task & Project Management
Organize knowledge capture by project. Assign topics to experts, track progress from open through review to completion.
Data Sovereignty & Compliance
The entire platform runs on STACKIT Cloud infrastructure in Germany. No user data — audio, transcripts, or profiles — is stored outside the EU.
STACKIT Cloud (Germany)
Self-hosted Keycloak
Self-hosted Infisical
STACKIT-hosted model
Ephemeral audio only
Explicit opt-in per session