Initiate AI - United States

This is an in-person class!

AI-Native Foundations (AIF)

You’ve been told to “use AI.” But between hype, half-truths, and a flood of tools, it’s hard to know where to start.

AI-Native Foundations cuts through the noise. In two immersive days, teams gain the fluency, frameworks, and confidence to put AI to work. Not just in theory, but in the flow of the actual day-to-day.

This isn’t another webinar about prompts. Teams learn in-plain-English how AI really works, master the 7 AI-Native Success Factors, and redesign one of their own workflows to create measurable business value from day one.

By the end, teams walk away with:

● A shared AI vocabulary that accelerates alignment across business and tech

● A responsible adoption playbook to reduce compliance and brand risk

● A 30-60-90 day AI action plan tailored to their role, ready to implement immediately

Who this is for?

AI-Native Foundations is built for professionals who are expected to deliver AI results without the luxury of trial and error.

You’ll fit right in if you are:

● A business leader who needs to translate AI potential into measurable ROI

● A product or delivery professional responsible for integrating AI into value streams without breaking what already works

● An operations or enablement lead tasked with creating standards, playbooks, and guardrails for responsible AI use

● A change-maker inside your team who wants to bridge the gap between technical possibilities and business realities

Business outcomes

By the end of AI-Native Foundations, you and your team will be able to:

● Align faster across business and tech with a shared AI vocabulary that reduces friction and misinterpretation.

● Turn existing tools into real ROI by redesigning workflows to save hours and deliver measurable results immediately.

● Lead with confidence and credibility by knowing how to assess feasibility, risks, and expected returns before committing resources.

● Innovate without increasing risk by applying compliance and safety guardrails from the start.

SYLLABUS

Day 1

Lesson 1

• EDGE and AI-Native

Lesson 2

• AI Basics

• Data

• Large Language Models

• Prompting and Safe Use

• RAG

• Agents

• Frontiers

Day 2

Lesson 3

• AI-Native Success Factors

Lesson 4

• Workflow Improvement

• Business Brief

• Transformational Thinking

Lesson 5

• Roadmap to AI-Native

Lesson 6

• The AI-Native Pitch

AI-Native Change Agent (AICA)

Most AI initiatives never make it past the pilot phase. Hype burns hot, priorities shift, and promising projects stall out before delivering business value.

AI-Native Change Agent is built to fix that. In 2.5 hands-on days, you’ll learn how to guide real AI initiatives from spark to scale translating technical potential into business results that stick.

This isn’t theory. You’ll lead a live initiative through practical milestones, learning how to align stakeholders, navigate blockers, and deliver measurable outcomes that move beyond the POC graveyard.

By the end, you’ll have:

● A repeatable framework for leading AI initiatives across functions

● Tools to engage both business and technical leaders in plain language

● A 30-60-90-120 day roadmap for turning opportunity into production impact

Who this is for?

AI-Native Change Agent is for those tasked with moving the enterprise from “AI-curious” to “AI-capable.”

You’ll fit right in if you are:

● A team lead or coach who needs to align cross-functional groups on AI opportunities and delivery

● A transformation leader driving enterprise adoption and looking for ways to scale success patterns

● A digital strategist or change agent who must balance experimentation with business impact

● A practitioner on the front lines ready to bridge the hype of AI with the hard part of execution

Business outcomes

Graduates of AI-Native Change Agent are equipped to:

1. Move initiatives out of the POC graveyard: Guide projects through lean delivery cycles that result in production impact.

2. Align business, tech, and leadership: Build stakeholder maps, charters, and implementation plans that accelerate execution and reduce rework.

3. Avoid common blockers: Spot hype traps, stalled pilots, and misaligned priorities before they waste time and resources.

4. Establish repeatable success patterns: Create proven playbooks for launching and scaling AI solutions across the enterprise.

Course Outline

DAY 1: PREPARE

• AI Opportunity Blind Spots

• AI Fluency

• Value Maximization

• AI-Powered Facilitation

• AI-Powered Discovery

DAY 2: DESIGN

• Value Proposal

• AI Solution

• Data Strategy

• Product Operations

• Risk Management & Compliance

• Value Realization

DAY 3: BUILD & SCALE

• The Implementation Roadmap

• Guiding Successful Implementations

• Tell The Story

• Expanding Your Impact