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Boost Productivity with Kore.ai and Amazon Q Business Integration

October 2, 2025•Unknown•Original Link•2 minutes
AI
Productivity
EnterpriseSearch

Learn how integrating Kore.ai's AI for Work platform with Amazon Q Business enhances employee productivity by enabling enterprise search and agentic workflows.

By AWS Team | September 29, 2025

Integration Diagram

Organizations grappling with sprawling enterprise data systems now have a powerful solution to boost productivity. A new integration between Kore.ai's AI for Work platform and Amazon Q Business enables employees to search across multiple systems while executing complex workflows through conversational AI.

The Productivity Challenge

  • Employees waste approximately 30% of their time searching for information (IDC study)
  • Data resides in silos across numerous enterprise applications
  • Manual processes slow down critical business operations

Solution Benefits

The combined solution offers:

  • Enhanced search: Access to 90+ enterprise connectors plus Amazon Q's vector search
  • Agentic workflows: Automate multi-step processes from search to action
  • Security: End-to-end encryption and document-level access controls
  • Cost savings: Reduce operational overhead through automation

How It Works

The integration architecture:

  1. AI for Work's orchestrator routes queries between Kore.ai retrievers and Amazon Q index
  2. Secure cross-account API calls maintain strict access controls
  3. Users build personalized workflows executable through single queries

Architecture Diagram

Implementation Options

Enterprises can configure Amazon Q Business in two ways:

  1. As primary knowledge source: Acts as fallback search layer
  2. As search agent: Works alongside existing search infrastructure

Use Cases

The solution transforms business processes including:

  • Automated roadmap generation from feature requests
  • RFP response automation pulling compliance documentation
  • Client meeting preparation compiling information from multiple systems

Getting Started

Prerequisites include:

  • AWS account with service access
  • Amazon Q Business configured with IAM Identity Center
  • Access to Kore.ai's AI for Work platform

The post provides detailed configuration steps for both implementation options.

About the Partners

  • Kore.ai: Gartner-recognized leader in conversational AI
  • Amazon Q Business: Managed vector search service for enterprise data

The integration marks a significant advancement in enterprise productivity tools, combining robust search with intelligent automation.

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AWS announces expanded Amazon Bedrock AgentCore Gateway support for MCP servers, enabling centralized management of AI agent tools across organizations.

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CEOs Must Prioritize AI Investment Amid Rapid Change

Forward-thinking CEOs are focusing on AI investment, agile operations, and strategic growth to navigate disruption and lead competitively.

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About the Author

Dr. Lisa Kim

Dr. Lisa Kim

AI Ethics Researcher

Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.

Expertise

AI Ethics
Algorithmic Fairness
AI Governance
Responsible AI
Experience
13 years
Publications
95+
Credentials
2
LinkedInResearchGate

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