Ep101: Beyond Chat - How Asana and Amazon Q Are Embedding AI Into Enterprise Workflows

Victoria Chin of Asana and Michael Horn of AWS demonstrate how Amazon Q integrates with Asana to enable AI-powered workflows while dramatically reducing manual work and improving cross-functional collaboration.

Topics Include:

• Victoria Chin introduces herself as Asana's CPO Chief of Staff
• Michael Horn from AWS discusses customer feedback on generative AI
• AI agents limited by quality of data pulled into them
• Amazon Q Business created to analyze information and take action
• Hundreds of customers using Q Business across various industries daily
• AWS hosts most business applications, ideal for AI journey
• Amazon Q has most built-in, managed, secure data connectors available
• Q Index creates comprehensive, accessible index of all company data
• Security permissions automatically pulled in, no manual configuration needed
• Supports both structured and unstructured data from multiple sources
• Victoria returns to discuss Asana's integration with Q Index
• Billions invested in integrations, but usage still lags behind
• Teams switch between apps 1000 times daily, missing connections
• Root problem: no reliable way to track who/what/when/why
• Content platforms store work but don't manage or coordinate
• Asana bridges content and communication for effective teamwork scaling
• AI disrupting software, but questions remain about real value
• Software must provide structured framework to guide LLMs effectively
• AI needs data AND structure to separate signal from noise
• Asana Work Graph maps how work actually gets done organizationally
• Work Graph visualized as interconnected data, not rows and columns
• Most strategic work is cross-functional, requiring multiple teams collaborating
• Traditional integrations require manual setup and knowing when to use
• Q Index gives Asana access to 40+ different data connectors
• Users can ask questions, get answers with cross-application context
• AI Studio enables no-code building of workflows with AI agents
• Product launch example shows intake, planning, execution, and reporting stages
• AI can surface relevant documents, research, and updates automatically
• Chat is tip of iceberg; real power comes from embedded workflows
• Integration evolves from feature-level to AI-powered product-level connections

Participants:

• Victoria J. Chin – Chief of Staff / Product Strategy, AI, Asana
• Michael Horn – Principal Head of Business Development – Artificial Intelligence & Machine Learning, AWS

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/