The NATIVE Framework™

The enterprise implementation standard for turning AI strategy into production-grade capability.Six phases from pilot to self-sufficiency.

You've learned the theory. You've completed the workshops. Now it's time to build.

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The 6 Phases of AI-Native Transformation

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Navigate

Assess your technical readiness and data landscape. Identify where AI implementation will deliver the highest ROI.

Technical Readiness Audit
Data Infrastructure Review
Implementation Roadmap
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Activate

Build and deploy your first AI workflow in a sandboxed environment. Hands-on from day one.

Pilot Project Deployment
Sandbox Environment
First Working Prototype
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Transform

Scale your initial success into a production-grade, integrated system capable of enterprise demands.

Production Deployment
Enterprise Scale
Performance Optimization
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Integrate

Connect your AI capabilities across the enterprise using MLOps pipelines and secure API integrations.

MLOps Implementation
API Integrations
Cross-System Workflows
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Validate

Measure technical performance and business impact. Verify compliance and ensure reliability.

Performance Metrics
ROI Validation
Compliance Verification
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Evolve

Use advanced modules to maintain, monitor, and continuously improve your AI systems for long-term self-sufficiency.

Continuous Improvement
Self-Sufficiency
Advanced Capabilities

Why NATIVE™?

Proven Methodology

Built on frameworks from DeepLearning.AI, Google Cloud, and enterprise best practices

Role-Specific

Customized transformation paths for every role in your organization

Measurable Impact

Clear KPIs and success metrics at every phase of transformation

Ready to Transform?

See how the NATIVE Framework™ can accelerate your AI transformation