Enterprise knowledge assistant
Answers questions using enterprise quality-management documents. Combines text and semantic search with document relationships and ongoing conversation context.
Inside the application
Selected use cases, source information and operational outputs.
Documents are retrieved from the source system and version changes are tracked.
Document permissions and user assessment
Turkish text search and semantic retrieval work together.
Document permissions and user assessment
The assistant can be embedded in PRUVA BPM.
Document permissions and user assessment
Application approach
The scope, operating approach and boundaries of this work.
Documents are retrieved from the source system and version changes are tracked. Search combines current document passages with relationships between documents.
Turkish text search and semantic retrieval work together. Prior messages and summaries preserve the context for follow-up questions.
The assistant can be embedded in PRUVA BPM. Local model options are available; identity and document access relate to the application context.
In everyday work
Quality-management users need an answer and the document supporting it. Kaynak handles questions inside the business application using current documents and conversation context.
Reaching the document behind an answer
Turkish full-text and semantic retrieval work together. Preserved messages prevent a follow-up question from becoming an unrelated query.
Turkish full-text and semantic retrieval work together. Preserved messages prevent a follow-up question from becoming an unrelated query.
This component shows incoming information together with its identity and provenance. Document revisions are tracked from the source system. Access is tied to the user’s application context.
This component explains how records are reviewed rather than displaying a result in isolation. Turkish full-text and semantic retrieval work together. Preserved messages prevent a follow-up question from becoming an unrelated query.
This component distinguishes the user’s decision from the next work record. Users can inspect the referenced document. Embedded BPM use aims to reduce switching between information retrieval and the screen where work happens.
The whole operation
These distinctions show the information the application receives, where it needs the user and what it leaves for the next operation.
These are evaluation dimensions, not measured performance results. Comparisons use the same task types, data scope and human-review conditions.
Related work
Interface conceptPlatform developmentEnterprise AI workspace
An enterprise AI workspace connecting knowledge sources, communication channels and models. Access and configuration are managed separately for each organization.
Explore the application
Interface conceptInitial releaseDigital member services
Handles text and voice requests through a digital service channel. Connects knowledge-based responses to a human support queue for requests requiring review.
Explore the application
Interface conceptEngineering infrastructureEngineering knowledge system
Organizes BPM engineering rules, concepts and source relationships in a knowledge repository. Development tasks can retrieve relevant context through files and MCP tools.
Explore the applicationWork with us
Let’s assess your operations, data landscape and priorities together.
