# Move From Pilot to Production

Eliminate the dependency conflicts, environment drift, and broken pipelines that stall AI deployment.

## THE CHALLENGE

### Most AI Projects Never Reach Production

The gap between a promising AI experiment and a deployed system costs organizations months of rework and ground they can’t recover.

### 80%
##### of AI projects fail  
Most AI initiatives stall before delivering value, not because the models are wrong, but because the path to production is broken.

1. RAND Corporation, August 2024.

### 9+ months
##### from pilot to launch  
Most AI projects take the better part of a year to reach production, compounding delays that erode business value before it’s ever realized.

2. MIT NANDA Initiative, July 2025.

### 95%
##### of GenAI pilots fall short  
Most generative AI pilot programs fail to deliver meaningful results, leaving organizations with sunk costs and no path forward.

3. MIT NANDA Initiative, July 2025.

## THE SOLUTION

### Close the Gap With Trusted AI Workflows

Every package, model, and dependency is signed, verified, and consistent at execution so what works in development runs reliably in production.

###### Reproducible environments

Consistent packages and dependencies across every stage, from local experimentation to production.

###### Consistent deployment anywhere

Deploy across cloud, self-hosted, on-premises, and edge with environments that behave the same wherever they run.

###### Governed model delivery

AI and Software Bill of Materials (AIBOM and SBOMs) travel with every deployment. Governance enforced at every target.

###### Multi-model support

Build compound AI systems with LLMs, vision models, and embedding models on one platform.

###### Consistency in production

What your team approves is what runs in production, secured, verified, and tamper-proof from deployment to inference.

## Ready to Close the AI Execution Gap?

See how Anaconda gives your teams a trusted path from experimentation to production, built for your infrastructure and workflows.