This is an in-person class!

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

AI-Native Change Agent (AICA) May 27, 2026 - May 29, 2026 (CST) (In Person) (English)