Launching Your AI Program from Zero to One

For organizations launching, or re-launching AI, we’ve built a ramp-up program and framework that helps establish formal governance, accelerate adoption, and build a foundation for scalable success.

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Reading Guide

Below includes our latest content on AI enablement. Jump to any specific section, or begin with the Introduction to read all our posts in order.

Core Team Design
Enterprise Track Daniel Lai Enterprise Track Daniel Lai

Core Team Design

Effective AI programs rely on three connected roles: strategist, tech implementer, and AI operator. Clear ownership enables scalable deployment, prevents stalled adoption, and turns experimentation into sustained, organization-wide AI execution.

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Guidance & Governance
Enterprise Track Daniel Lai Enterprise Track Daniel Lai

Guidance & Governance

This section establishes practical AI guidance using a risk spectrum, decision framework, and workflow examples. It helps teams match AI use to risk and impact while forming a scalable foundation for consistent, enterprise-wide governance.

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AI Onboarding Process
Enterprise Track Daniel Lai Enterprise Track Daniel Lai

AI Onboarding Process

This section defines a Golden Path for AI onboarding, supported by an AI portal and shared learning communities. Together, they remove friction, clarify guardrails, centralize access, and turn individual experimentation into scalable, organization-wide AI adoption.

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Program Scalability
Enterprise Track Daniel Lai Enterprise Track Daniel Lai

Program Scalability

This section outlines how to scale AI through a shared reference architecture, support structure, and staged path to production. Together, they align business and IT, sustain adoption, and turn experimentation into durable, enterprise-grade AI capabilities.

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