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