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Internal Knowledge Assistant
Enterprise Operations · Knowledge Management

Internal Knowledge Assistant

A unified AI conversational interface that consumes internal knowledge bases to streamline onboarding and consolidate intelligence.

60%
Faster Onboarding
30 mins
Daily Search Saved/Employee
92%
Query Resolution Rate
4,500+
Documents Indexed

The Challenge

A rapidly growing technology firm with over 1,500 employees faced a critical bottleneck: institutional knowledge was scattered across disparate systems—Confluence pages, Google Drive documents, Slack threads, and Notion databases. New hires spent weeks navigating this labyrinth to find basic process documentation, while tenured staff wasted hours daily answering repetitive questions.

The fragmentation led to version control issues, where outdated policies were inadvertently followed, and "tribal knowledge" silos where critical information existed only in the heads of a few key engineers. As the company scaled, the inability to efficiently access and share knowledge became a measurable drag on velocity and innovation.

The Solution

Syvoq developed a bespoke Internal Knowledge Assistant—a secure, RAG (Retrieval-Augmented Generation) powered chatbot that serves as the single source of truth for the organization.

  • Universal Ingestion Engine: Connectors for Slack, Google Drive, Confluence, and Notion continuously index and vectorise content, ensuring the knowledge base is always up-to-date with the latest documents and conversations.
  • Context-Aware Answers: The assistant doesn't just search keywords; it understands intent. It synthesizes answers from multiple sources, providing citations and direct links to source materials for verification.
  • Smart Onboarding Flows: New employees are guided through role-specific learning paths, with the assistant proactively surfacing relevant documentation and answering "how-to" questions in real-time.

Technical Architecture

Hybrid Search Pipeline

Combines semantic vector search (dense retrieval) with keyword-based search (sparse retrieval) to capture both conceptual queries and specific technical terms. Re-ranking models optimize the relevance of retrieved context before generation.

Role-Based Access Control (RBAC)

The system respects existing permission structures. Users only receive answers based on documents they are authorized to view, ensuring sensitive HR or financial data remains secure.

Feedback Loop & Active Learning

Users can rate answers (thumbs up/down) and provide corrections. Low-confidence answers are flagged for review by domain experts, creating a flywheel of continuous improvement for the knowledge base.

The Impact

Operational Efficiency

  • Reduced onboarding time by 60%, getting engineers to their first commit faster.
  • Saved ~30 minutes per employee per day previously spent searching for information.
  • 92% self-service resolution rate for IT and HR helpdesk queries.

Cultural Shift

  • Democratized access to information, breaking down departmental silos.
  • Proactive knowledge gaps identified by analyzing failed queries.

Key Takeaway

Knowledge is only as valuable as it is accessible. By transforming a static repository of documents into an interactive, intelligent assistant, organizations can unlock the latent potential of their collective intelligence, turning information into immediate action.

Unlock your organization's collective intelligence.

Discover how our Knowledge Assistant can streamline your operations.

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