eBook

Inside Atlan AI Labs & The 5x Accuracy Factor

Real experiments, quantifiable results, and a repeatable playbook for closing the gap between AI demos and production-ready systems.

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Inside Atlan AI Labs – eBook

TRUSTED BY LEADERS

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.
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The Solution

Our Approach

Narrow the domain

Pick one high-value use case.

Layer the context

Build structured semantic views.

Measure, don't guess

Create evaluation sets to track progress.

Ship with thresholds

Aim for trust, not perfection.

Inside the eBook

What's Inside

Discover the key insights and strategies inside this comprehensive guide

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

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.

Instant Download

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Who's It For?

Who should read this?

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.

Ebook preview

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

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