Week 1: Foundation & Policy (Goal: Draft Policy Signed Off)

Day 1-2: Kickoff & Stakeholder Mapping. Assemble core team. Identify key stakeholders (Legal, Compliance, Security, Privacy, Risk, IT, key business units using AI). Map known AI projects (shadow AI hunt!).
Day 3-4: Gap Analysis & Principles Review. Audit existing relevant policies (IT, Security, Privacy, Ethics, Procurement). Review current AI principles. Identify immediate high-risk AI use cases.
Day 5-6: Draft Risk Classification Schema & Core Requirements. Define simple High/Medium/Low criteria. List 5-7 non-negotiable mandatory requirements based on principles and regulations.
Day 7: Develop Policy Draft. Consolidate schema and requirements into a concise Enterprise AI Policy & Standards draft document.
Deliverable: Draft AI Policy & Standards Document.

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Nate Patel is a leading AI strategist and business consultant specializing in enterprise AI adoption and digital transformation. He helps organizations innovate responsibly by designing ethical AI frameworks and aligning technology with business goals. As a global keynote speaker, Nate advocates for responsible, scalable, and impactful AI-driven innovation.

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