---
title: "The Enterprise Context Layer Architecture in Action"
url: "https://atlan.com/live-demo-series-enterprise-context-layer-architecture/"
description: "The teams winning with AI aren't the ones with the best models. They're the ones building context that compounds. Watch how, live."
---

> 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/

**Context in Action: The Enterprise Context Layer Architecture in Action.** The teams winning with AI aren't the ones with the best models. They're the ones building context that compounds. A 45-minute live session with Q&A: watch Atlan mine knowledge from your existing stack, build and certify a context layer through a development lifecycle, and deploy it to any agent platform.

**Date as listed on the page:** Nov 11 / Virtual / 11 AM ET / 45 min / Live Q&A. The session page: [https://atlan.com/live-demo-series-enterprise-context-layer-architecture/](https://atlan.com/live-demo-series-enterprise-context-layer-architecture/).

## About this session

Most context strategies stop at metric definitions. But agents also need to know how work gets done and what's allowed. In this 45-minute session, watch Atlan mine knowledge, expertise, and norms from your existing stack, build and certify a context layer through a development lifecycle, and deploy it to any agent platform.

Presenter: Omar Farah, Strategic Sales Engineer, Atlan.

## What you'll see

1. **Same question. Different results.** Two agents, same question. The one without context queries table after table and can't confidently answer. The one with a shared context layer loads exactly what it needs upfront and returns a traceable answer.
2. **Knowledge, expertise, and norms, mined automatically.** Context isn't just metric definitions. It's how work gets done: the procedures, the business logic, the rules about what's allowed. Context Agents mine all three from your existing stack with 100+ connectors across your data platforms, BI tools, and systems of record, and turn them into a shared context foundation.
3. **Built, tested, and certified before it ships.** Context Engineering Studio takes a plain-language goal, finds the right assets, generates a semantic model and skills, and runs evals against your real query history. Expected outputs compared to actual. Gaps traced to the exact missing definition.
4. **Every agent, smarter than the last.** Deploy your context layer to any agent platform via MCP, APIs, or native integrations. Every question answered feeds back. Every correction sharpens the shared context. The tenth agent is smarter than the first.

## 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).