Amazon and Asana Launch AI-Driven Integration for Workflows

Asana and Amazon Web Services (AWS) have joined forces to integrate Asana AI Studio with Amazon Q index, creating a secure, enterprise-grade AI framework that connects multiple systems and data sources.

The integration blends Asana’s no-code automation with Amazon Q index’s enterprise search capabilities, enabling teams to pull insights from tools like Google Workspace, Microsoft 365, and Salesforce all while maintaining strict governance and compliance controls.

“By bringing Amazon Q Index into our AI infrastructure, we’re able to unify knowledge spread across enterprise systems and deliver highly relevant insights right into workflows,” said Spencer Herrick, Principal AI Product Manager at Asana. “This helps teams move faster and execute at a higher level. AWS has been a great partner, and we’re excited to keep building and innovating together

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Balancing Accessibility with Security

For IT leaders, the integration tackles two key priorities: making data more accessible while keeping it secure.

At the heart of it is Amazon Q Business’s data accessor, a secure bridge that connects Asana AI Studio to the Amazon Q index within a customer’s AWS environment. This setup ensures that only authorized data flows into Asana’s AI features, fully respecting existing IAM policies and access control lists (ACLs).

This allows organizations to offer AI-driven search and automation while still honoring compliance standards and role-based access controls.

High-Value Enterprise Use Cases 

According to Asana, the integration is especially impactful for operational processes that demand cross-system visibility, such as:

• Project intake and routing: Automate complex workflows by gathering context from multiple apps.
• Campaign and product launches: Keep marketing, product, and operations teams aligned with shared, real-time data.
• Unified knowledge retrieval: Use Asana’s smart chat to search across all enterprise content without jumping between tools.

By bringing AI-powered search right into the familiar Asana interface, IT leaders can cut down on shadow IT risks, boost user adoption, and make collaboration across teams easier and more efficient.

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How the Integration Works

When someone starts an AI workflow or asks a question through Asana’s smart chat, the AI orchestrator searches both Asana’s own work data and the Amazon Q index at the same time accessing it securely.

The Q index gathers important info from various connected enterprise systems using AWS’s built-in connectors. Then, generative AI pulls all that together into clear, useful insights citing sources from inside and outside the company right within Asana.

The result: teams can go from query to decision without bouncing between platforms or digging through data silos.

Setup and Implementation for IT Leaders

To enable the integration, organizations need coordinated setup across AWS and Asana, including:

• An AWS account with Amazon Q Business configured
• AWS IAM Identity Center enabled for authentication
• Asana’s AI features activated
• Super admin permissions in Asana

The process begins by adding Asana as a data accessor in Amazon Q Business setting up a domain ID, creating a trusted token issuer, and defining access permissions. Then, IT admins connect the Amazon Q index within the Asana admin console, verify the connection, and choose which data sources are approved for AI workflows.

Once connected, Asana AI Studio can access data from other apps to automate workflows using external enterprise information. Plus, smart chat uses the Amazon Q index to deliver real-time, source-linked answers.

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Strategic Value for CIOs and CTOs

This partnership represents a new way for enterprises to adopt AI. Instead of using separate AI tools with their own rules, businesses can now integrate generative AI right into their secure, existing workflows.

Key benefits include:

• Governance-first AI adoption – Aligning innovation with compliance standards.
• Vendor consolidation – Reducing reliance on multiple point solutions.
• Seamless user adoption – Embedding AI in familiar platforms to minimize training needs.

By connecting Asana’s task management and automation capabilities with Amazon Q’s enterprise search, IT leaders get a blueprint for scaling AI without fragmenting tech stacks or risking security.

The Asana–AWS collaboration underscores a growing trend: AI should live where work already happens, making adoption frictionless and value immediate.

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