Amazon Quick Suite User Group – Chicago: Agentic AI takes center stage

This post was written with Hrishikesh Puzhankara and Alida D’Costa from Wavicle Data Solutions.

The Amazon Quick Suite User Group – Chicago is a local community of Amazon Quick Suite users based in the Chicago area who come together quarterly to share knowledge, best practices, and experiences with the platform. These User Groups typically serve as collaborative forums where members can:

  • Learn and Share: Exchange inspiration and learnings about Quick Suite, including how to create custom agents and how to leverage unified AI agents for research, business insights and automation.
  • Network: Connect with other professionals in the region who are using Quick Suite for enterprise AI applications, data analytics, and workplace productivity.
  • Problem-Solve: Discuss challenges, solutions, and innovative use cases for leveraging Quick Suite’s capabilities across different business contexts.
  • Stay Updated: Learn about new features, updates, and best practices directly from peers and experts.
  • Build Community: Foster a local support network that complements the broader Quick Suite ecosystem.

User Groups like this provide valuable peer-to-peer learning opportunities and help organizations maximize their investment in the Amazon Quick Suite platform through shared expertise and collaborative problem-solving within a specific geographic community.

In this post, we’re excited to share highlights from the second Chicago Amazon Quick Suite User Group meetup. We had over 90 innovators attend the event and the energy around agentic AI and what Amazon Quick Suite can do was incredible!

Agentic AI: The future of work is here

For many attendees, this was their first deep dive into the world of agentic AI with Amazon Quick Suite; the excitement was palpable throughout the day. The diverse crowd included familiar faces alongside newcomers from renowned organizations creating the perfect environment for exploring how AI agents are transforming workplace productivity.

The Chicago Quick Suite community in action—learning, building, and sharing insights together.

A community learning together

Based on input from our previous User Group meetup, the User Group leadership team designed a focused agenda that delivered what customers had requested – increased hands-on experience, product demonstrations, and opportunities to share ideas:

  • Introducing Amazon Quick Suite: Reimagine the Way You Work — Set the foundation for understanding how agentic AI is transforming business operations.
  • Live Quick Suite Demo — Brought the platform’s unified capabilities to life with a real-time demonstration.
  • Interactive Hands-On Workshop — Attendees explored Quick Suite’s unified research, business intelligence, and automation capabilities firsthand.
    Engaging Open Forum — Facilitated vibrant idea exchanges and “aha moments” that made our time truly memorable.

Featured speakers included Dr. Patience Mudundulu, John Rouse, Giri Badanahatti, Tarush Gupta, Vaidy Janardhanam and Brahmi Shah, from Amazon Quick Suite and Amazon Web Services’ Go-To-Market and Solution Architect Teams.

Real-world agentic AI impact

Amazon Quick Suite helps business users make better decisions faster and act on them by unifying AI agents for research, business insights, and automation into a single experience – all while maintaining security and user access policies. Business users of any skill level can find answers across relevant data sources in minutes instead of days, analyze data through natural language, create sophisticated visualizations, immediately act on insights without switching tools, and automate any task. At the heart of these enhancements is the unification of structured and unstructured data sources, driving its powerful new capabilities.

The power of agentic AI lies in its ability to understand context and act across systems — surfacing insights, automating workflows, and executing tasks with appropriate oversight to help you work smarter. At our Chicago User Group, we explored how Quick Suite’s AI agents can:

  • Intelligently search and synthesize information across multiple data sources, providing contextual answers that would traditionally require manual research across various systems
  • Automate complex workflows through Quick Flows, turning repetitive multi-step processes into streamlined, AI-powered automations
  • Personalize user experiences by learning from interaction patterns and adapting responses to individual needs and preferences
  • Act alongside human decision-making, not just providing recommendations but executing approved tasks and updates

AI agents can dynamically adjust dashboard views, highlight critical metrics based on user roles and current business context, and proactively surface insights that matter most at any given moment. This shift from static, one-size-fits-all dashboards to intelligent, adaptive interfaces represents a fundamental change in how we work with data.

Our Chicago community is particularly excited about applying these concepts to their own use cases, from automating customer research workflows to building custom agents that understand industry-specific terminology and business processes. The conversations at our meetup revealed that organizations are moving beyond simple chatbots to truly agentic systems that can plan and act—transforming productivity across teams.

Attendees learn how Quick Suite helps teams get the right answers and act quickly with the help of AI agents.

The leadership team is what makes it all happen—they bring individual Quick Suite enthusiasts and innovators into a global connected community through thoughtfully planned meetups, technical deep-dives, and networking opportunities that drive real value for Chicago-area professionals.

The numbers speak for themselves—our attendees rated this meetup a 4.86 out of 5! This score reflects not just the quality of the content, but the genuine value our community finds in exploring agentic AI technology together.

Community partnership excellence

Special recognition goes to our incredible AWS Partners—West Loop Strategy: AWS Analytics & Migration Consulting, and Wavicle Data Solutions—who consistently bring their expertise to enrich every Chicago user group experience.

Our success is powered by an incredible Chicago leadership team.

  • Alida Dcosta, Sr. Business Intelligence Architect, Wavicle Data Solutions
  • Brett Hafstad, AWS Analytics & Migration Consulting, West Loop Strategy
  • Hrishikesh Puzhankara, Sr. Data Engineering Architect, Wavicle Data Solutions
  • Bhavik Contractor, Associate Director, Wavicle Data Solutions
  • Akshara Acharekar, Sr. BI Engineer, Wavicle Data Solutions
  • Giri Badanahatti, Sr. Solutions Architect, Amazon Web Services
  • Tarush Gupta, Generative AI Solutions Architect, Amazon Web Services

The Chicago Quick Suite User Group leadership and launch team at the AWS office.

Community learning to build and analyze interactive dashboards with Quick Suite’s powerful BI tools.

Expanding our global impact

We’re actively seeking passionate individuals to join leadership teams in expanding cities including London, Seattle, Irvine, Phoenix, New York, and more. Whether you’re an agentic AI expert, Quick Suite specialist, or bring skills in event planning or marketing, you can help shape our growing global community.

We’re looking for leaders with a passion for:

  • Amazon Quick Suite and agentic AI
  • Event planning
  • Marketing and communications
  • Fostering community building, innovation and collaboration

Get involved

Join our Chicago Quick Suite LinkedIn Group for updates and announcements — including our Thursday, March 12, 2026 meetup details. Be part of the conversation and connect with fellow agentic AI innovators. Don’t miss the next opportunity to dive deeper into Quick Suite’s revolutionary capabilities. Sign up and we’ll see you at the Thursday, March 12 meetup—where the next wave of agentic AI innovation awaits!

Not in the Chicago area, but interested in starting an Amazon Quick Suite User Group near you? Contact kmandia@amazon.com and complete our leadership interest form to help bring agentic AI innovation to your city.

If starting a group isn’t for you, you can still learn with others on the Amazon Quick Suite Community. This is your hub for 500+ learning resources, events, networking, and new ways to leverage the platform’s capabilities. Connect with fellow users, share your experiences, and stay at the forefront of AI-powered workplace innovation.


About the authors

Tarush Gupta is a Generative AI Solutions Architect at AWS, where he helps enterprise customers design and implement cutting-edge AI and generative AI solutions. He specializes in Amazon Quick Suite services and has been instrumental in driving analytics transformation initiatives across various industries. A cricket enthusiast and avid traveler, Tarush enjoys exploring new destinations both within the country and internationally.

Hrishikesh Puzhankara is a Sr. Data Engineering Architect at Wavicle Data Solutions where he specializes in designing and implementing enterprise-scale data architectures. With extensive experience in data engineering and analytics, he helps organizations transform their data infrastructure to drive business value. He focuses on building robust, scalable solutions that enable data-driven decision making.

Alida D’Costa is a Sr. BI Architect at Wavicle Data Solutions with deep experience leading large-scale data and cloud transformation programs. With a strong background in AWS, data engineering, and BI modernization, she bridges technical execution with business value realization. She is known for driving cross-functional collaboration, ensuring delivery excellence, and helping clients scale their analytics capabilities efficiently. In her free time, she loves to travel and try her hand at cooking dishes from different parts of the world.


This is a companion discussion topic for the original entry at https://aws.amazon.com/blogs/business-intelligence/amazon-quick-suite-user-group-chicago-agentic-ai-takes-center-stage/
1 Like