AI-Native Change Agent (AICA) Jan 28, 2026 - Jan 30, 2026 (EST) (In Person) (English)
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
Instructors
Phil Gardiner
Contact us
- Organizer
- ma••••t@eng••••y.com
Location
Classifications
Categories
- AI - Native Change Agent (AICA)
- Phil Gardiner