---
title: "Inside Atlan AI Labs | Atlan"
url: "https://atlan.com/resources/atlan-ai-labs-ebook/"
description: "Learn how Atlan AI Labs helped teams like Workday and Fox achieve 5x better AI accuracy through context engineering. Download the guide to see real experiments, measured results, and a repeatable playbook for moving AI from pilot to production."
keywords: "atlan, AI, AI lab, context layers, context for AI"
---

> 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/

**Inside Atlan AI Labs & The 5x Accuracy Factor** (ebook): real experiments, quantifiable results, and a repeatable playbook for closing the gap between AI demos and production-ready systems. Access is free behind a short form: [get the ebook at https://atlan.com/resources/atlan-ai-labs-ebook/](https://atlan.com/resources/atlan-ai-labs-ebook/).

Trusted by leaders - customers shown: Nasdaq, Workday, General Motors, Cargill, PPG, Medtronic, Affirm.

## The problem: AI demos don't ship

Research from MIT shows 95% of AI pilots fail in production - not because models are weak, but because they can't handle the messy, context-laden reality of enterprise data.

Leaders lose confidence when AI gives different answers than trusted teams. Shadow experiments bypass governance. The gap between demo and deployment isn't caused by models - it's missing context.

## The solution: our approach

1. **Narrow the domain** - pick one high-value use case.
2. **Layer the context** - build structured semantic views.
3. **Measure, don't guess** - create evaluation sets to track progress.
4. **Ship with thresholds** - aim for trust, not perfection.

## What's inside

- **AI Demo vs. Reality** - understanding how the context gap blocks production-ready AI.
- **Inside AI Labs** - the 9-step flow that guides Atlan AI Labs workshops.
- **The 5x Accuracy Factor** - real customer success stories and research-backed evidence.
- **Field Guide to Getting Started** - the first 7 steps and pitfalls to avoid so you can start tomorrow.

## Why this matters

| Figure | What it measures |
|---|---|
| 95% | AI pilots that fail due to missing context |
| 70% | Forbes Global 2000 customers that will soon require ROI analysis for AI |
| 5x | AI accuracy improvement after implementing Atlan AI Labs methodology |

## Who's it for?

- **Directors of Data Engineering** - start turning ad hoc AI experiments into governed, repeatable capabilities.
- **VPs of Data & Analytics** - get the ROI story and risk mitigation framework to justify AI infrastructure investments.
- **Lead Analytics Engineer** - confidently debug AI failures, measure tactics, and demonstrate improvement.

Inside the ebook:

- Understanding the demo vs reality gap
- Context engineering methodology explained
- How to achieve 5x accuracy improvements
- Building evaluation frameworks that scale
- How to start building context tomorrow

## Related resources

- [Metadata: The Critical Foundation for AI Use Cases](https://atlan.com/resources/metadata-research-report/) (report) - across 522 test queries, enriched metadata improved accuracy by 38%.
- [The CIO's Guide to Context Graphs](https://atlan.com/resources/cio-guide-to-context-graphs/) (ebook) - everything you need to know about context layers and graphs, including implementation.
- [Context Is the New IP - But Who Owns It?](https://atlan.com/know/gdd-who-will-own-ai-context/) (blog) - what leaders from Snowflake, Glean, and more had to say about who owns context for AI.
- [The AI Context Stack](https://atlan.com/resources/ai-context-stack/) (brief) - which context infrastructure model is right for your tech stack.
- [How to Experiment with Conversational Analytics](https://atlan.com/know/regovern-conversational-analytics-guide/) (blog) - create a blueprint before you start a conversational analytics experiment.
- [How to Build an AI-Ready Semantic Layer](https://atlan.com/know/regovern-building-semantic-layer-guide/) (blog) - a step-by-step guide to building a unified, machine-readable semantic layer for AI.