Free Up Your Time from Email with Amazon Q Apps & GenAI
Built with Amazon Q Apps in just two hours at the AWS & Ingram Micro GenAI Hackathon in Auckland 2025, Reply.ai is an intelligent email assistant that helps you take control of your inbox.
Published Feb 22, 2025
Last Modified Feb 25, 2025
I've been there, you've been there: an inbox with millions of mails to prioritize, digest and answer. Actions to identify and plan. Millions, and the days still have 24 hours. Each email represents a task, a decision, or an opportunity, but the sheer volume can be overwhelming. We spend countless hours sorting through messages, trying to determine what's urgent, what can wait, and what actions need to be taken. It's a universal challenge that affects productivity and work-life balance across all industries.
Introducing Reply.ai, an innovative email management system built on Amazon Q Apps that emerged from the AWS & Ingram Micro GenAI Hackathon in Auckland, New Zealand this February.
Reply.ai is an intelligent email assistant that leverages Amazon Q's generative AI capabilities to revolutionize how users manage their email workflow. The system analyzes incoming emails, prioritizes them based on user-defined criteria, and generates contextually appropriate responses while tracking actions. What sets Reply.ai apart is its ability to understand user roles and goals, ensuring that email management aligns with broader business objectives.
Amazon Q Apps represents a new paradigm in enterprise AI applications. These lightweight, purpose-built applications can be created within the Amazon Q Business environment, allowing organizations to harness generative AI for specific tasks. What makes Q Apps particularly powerful is their accessibility - they can be created by anyone with access to Amazon Q Business, transforming conversations with AI assistants into reusable and shareable applications.
Let's take for example the inbox of Michael Scott, from Dunder Mifflin Paper Company. As Scranton Regional Manager, his goal is to boost sales but besides mails from corporate, staff looking for advice, loyalty programs and award nominations, Michael needs to focus on his goals.
In just a few forms, Reply.ai asks for his name, role, and goals and based on that, it generates a list of the mails with priority, answers and actions lists for every mail.
The system understands that while Michael needs to stay on top of corporate communications and team management, emails related to sales opportunities and client relationships should take precedence given his current goals.
Reply.ai was conceived and developed during the AWS & Ingram Micro GenAI Hackathon in Auckland, where developers and business professionals came together to explore the possibilities of generative AI. The project was brought to life by James Green (Business Co-Founder) and Roberto Allende (Technical Co-Founder), who saw the potential to transform email management using Amazon's latest AI technologies.
While the current version of Reply.ai offers powerful email management capabilities, the team has exciting plans for future enhancements:
- Implementation of automated email polling through Actions
- Development of email delivery mechanisms
- Integration with project management systems for seamless task tracking
- Enhanced plugins for automated workflow triggers
The complete source code for Reply.ai is available on reply.ai's GitHub Repository. The repository includes:
- Detailed prompt instructions for configuring the Q App
- Architecture diagrams for both current (v1.0) and future (v2.0) versions
- Complete documentation for deployment and testing
- Sample configurations for different use cases
These resources make it easy for developers to understand the implementation details and deploy their own instance of Reply.ai.
The innovative approach to email management and the rapid development of a production-ready solution earned Reply.ai the first place in the two-hour AWS & Ingram Micro GenAI Hackathon.
The development of Reply.ai wouldn't have been possible without the support and guidance of the AWS & Ingram Micro GenAI Hackathon organizers. Special thanks go to Andrei Lizarraga and Vivian Weiwei Luo, whose expertise and dedication helped shape this project and many others during the event.
Reply.ai represents just the beginning of what's possible with Amazon Q Apps and generative AI in the enterprise space. As we continue to develop and enhance the platform, we're excited to see how it will transform email management for organizations worldwide.
For more information about Reply.ai or to get started with the platform, look for the GitHub repository, where you can find detailed documentation and deployment instructions.