---
title: "Atlan + AWS: Building Context-Aware Enterprise AI Agents"
url: "https://atlan.com/live-demo-series-atlan-amazon-quick-2026/"
description: "Amazon Quick gives every business team agentic teammates that research, answer, and automate. Atlan grounds every answer in certified, governed context. Watch on demand."
---

> Atlan is hosting Context Conference, bringing together the leaders and builders at the frontier of giving AI the context it needs to understand their business. It runs online on October 28, 2026, from 11:00 AM to 2:00 PM ET. Atlan co-founder Prukalpa Sankar opens and closes the day. Leaders from AstraZeneca, BNY and Verizon share why they invest in context and what they get from it. Registrants get early access to The AI Context Gap, a new study from MIT Technology Review Insights. Register: https://atlan.com/context-conference/

**Atlan in Action live demo with AWS and Amazon Quick.** Amazon Quick gives every business team agentic teammates, AI agents that research your data, answer your questions, and automate your workflows. Atlan grounds every answer in certified definitions, lineage, and ownership from across your estate. Together they deliver answers grounded in certified context, traceable to source.

**Status as listed on the page:** On demand / 45 min / recorded Oct 14, 2026. Free access to the recording on the session page: [https://atlan.com/live-demo-series-atlan-amazon-quick-2026/](https://atlan.com/live-demo-series-atlan-amazon-quick-2026/). More demos: [https://atlan.com/live-demo-series/](https://atlan.com/live-demo-series/).

## About this session

Every enterprise runs on meaning no database holds. What the metrics really measure, which source is the certified one, the rules for what's allowed. That knowledge lives in glossaries, wikis, and experienced heads. Models have gotten dramatically better, but any agent, however capable, can only answer from the context it can reach.

Amazon Quick and Atlan close that gap together, each doing what it's built for. Quick is where business teams already work, with agentic teammates that research the data, answer the question, and automate what comes next. Atlan is the context layer where that scattered meaning gets defined, governed, and certified once, across AWS and every other system it lives in. Quick agents pull that context straight from Atlan. Every answer carries the business's own certified meaning, and shows where it came from.

Watch AWS and Atlan show the integration working, then take your questions.

## Speakers

- Shekhar Kopuri, Head of Product, Structured Data & AI Analytics, Amazon Quick (AWS)
- Chandru Sugunan, Director, Product, Atlan
- Razi Shafiq, Strategic Partner Sales Engineer, Atlan

## What you'll see

1. **A first look at Atlan + Amazon Quick.** AWS and Atlan walk through Quick agents at work, from question to answer to automated follow-up, and where Atlan context enters the flow through the Model Context Protocol (MCP).
2. **Context, certified at the source.** How teams define and govern business context in Atlan. Definitions people agree on, lineage back to source, named owners, and quality signals, across AWS and the rest of the estate, so there is one set of definitions instead of one per tool.
3. **An answer with its receipts.** A Quick agent answers a real business question. Then we trace it back to the certified definition it used, the lineage behind it, and the owner who signed off.
4. **Institutional memory on day one.** Curate context once in Atlan, and every new Quick agent starts with it. One correction in Atlan propagates to every agent that asks.

## Customers

Trusted by 500+ AI-forward enterprises. Customers shown: Mastercard, HubSpot, Zoom, Dropbox, Autodesk, Nasdaq, Fox, GitLab, Unilever, Workday, Elastic, NHS, Affirm, General Motors, easyJet, Medtronic, New York Life, Grainger.

Customer videos ("The only proven way to create context"): DigiKey: Context Readiness (Sridher Arumugham) / CME Group: Context at Speed (Kiran Panja) / Mastercard: Context by Design (Andrew Reiskind) / Virgin Media O2: Context for All (Mauro Flores).