AI Training
AI Concept Development
Select high-value, low-risk AI initiatives with our proven methodology for AI project development — from understanding AI’s core capabilities to refining your concepts with research-backed assessment tools.
With Kerry Bodine
CEO & Founder, Bodine & Co.
Co-Author of Outside In: The Power of Putting Customers at the Center of Your Business
Founding Member, Customer Experience Professionals Association
AI CONCEPT DEVELOPMENT
<<Do we want a line or two to set up the major learning outcomes? Also, at this highest level, I’d love to make these learning outcomes as big, powerful, and business-outcome focused as possible. Hook the economic buyer here, people who will attend will keep reading.>>
- AI strategy: Practice a repeatable method for selecting which of your AI concepts you’ll green light for development — and which you’ll toss.
- AI ideation: Develop technically feasible concepts that extend far beyond Gen AI and agents with a significant and surprising twist on traditional brainstorming.
- AI evaluation & refinement: Eliminate AI concepts that pose significant risks to your organization, your customers, and/or the greater world in which we live — and evolve the strongest ones to maximize business and customer value.
- AI risk assessment: Anticipate unintended outcomes before you write a line of code — and develop strategies that mitigate risks and amplify positive impact.
topics we’ll cover
Curriculum
From AI Foundations to AI Concepts
In this fast-paced training, you’ll ground your AI projects in the foundational topics essential for successful deployment — and strengthen your ability to generate practical, high-value concepts.
Module 1
AI DATA FUNDAMENTALS
Get clear on the building blocks of AI — where data comes from, what makes it usable IN AI, and why it matters for your business.
- Why do we need to care about data during AI concept development?
- What are the key attributes of AI-ready data?
- What types of bias are often baked into data sets?
- What are the various types of AI models, and what data do you need to power them?
Module 2
why AI projects fail
Identify the hidden reasons so many AI projects under-deliver, so you can shape bold concepts with clarity and confidence.
- What makes AI a fundamentally different design material from the technologies we’ve been working with for decades?
- What are the common failure patterns in AI?
- Which of these failure patterns are inherent to how AI works?
- How do human processes and decision-making contribute to AI failures?
- Where does AI excel versus disappoint?
Module 3
The 8 Great AI Capabilities
Break the vast world of AI into a simple, actionable set of capabilities that any leader can use to fuel more effective idea generation.
- What are the practical capabilities that today’s established and cutting-edge AI delivers?
- How can these capabilities improve your products, services, and experiences?
- How does application of these capabilities drive better ideation?
Module 4
AI Concept Generation
apply a structured process for matching AI’s strengths with your unique business context — and generate relevant, viable ideas.
- What makes designing for AI fundamentally different — and why do our current methods fall short?
- How can we systematically generate relevant AI concepts for our products, services, and experiences?
- Who are the key participants in the AI concept development process?
From AI concepts to AI confidence
In this series, you’ll evaluate your AI concepts from every critical angle — technical feasibility, business and customer value, and potential for harm — then prioritize the projects most likely to succeed.
Module 5
technical viability assessment
Quickly weed out those AI concepts that present a high degree of TECHNICAL risk — so you can focus on ideas worth pursuing.
- How can we effectively assess the level of technical expertise and accuracy required for our AI concepts — without long and complex tech evaluations?
- How can we modify our AI concepts to make them more feasible?
Module 6
Value assessment
Assess which of your remaining AI concepts have the greatest potential to drive value for your business and your customers.
- What’s the fastest — and still effective — way to assess the potential value of our AI concepts?
- How can we modify our AI concepts to make them more feasible?
- And why are we discussing customer value at such a late stage of the AI-optimized concept development process?
Module 7
POTENTIAL HARM ASSESSMENT
Spot common errors and potential harms early — and apply tools to proactively manage risks and consequences.
- What are the most common types of AI harms?
- How do harm severity and duration factor into harm assessment?
- How can we proactively identify and mitigate negative consequences in a structured way?
- On the flip slide, how can we identify and amplify surprising positive outcomes?
Module 8
Concept prioritization
Apply the tools and criteria to rank, select, and build buy-in for the AI concepts that will drive the most impact with low risk.
- What are the critical criteria for AI concept prioritization?
- Who should be involved in final concept selection?
- How do we build internal buy-in for our selected concepts?
Everything You Need to Succeed
3+ hours of
video instruction
Kerry Bodine guides you through essential customer experience concepts and their practical applications in her trademark relatable and engaging style. With three years of access, you can set your own pace and re-watch the videos as often as you like.
Your own real-
world project
Each of the 10 modules builds on the previous one, empowering you to complete a real-world customer experience project that tackles one of your organization’s business challenges. Not sure which project to choose? We guide you through that decision in Module 1.
Actionable
tools
We’ve provided all the tools you’ll need to complete your experience improvement project — including practical frameworks, guides, and worksheets. These tools are yours to keep and use in your own experience practice after you’ve completed the course.
Knowledge
assessments
By challenging you to articulate key course concepts in your own words, our quizzes will help you assess your learning — and prepare you to champion the business value of exceptional experiences across your organization.
Discussion
guides
Our discussion guides help you reflect on key course topics on your own or with your team members. Use these same guides to lead thought-provoking conversations with both your team and the broader organization.
Add on: Live
coaching sessions
Get the most of your training investment. Add on individual or team coaching sessions to get personalized support and drive greater business value for your customer experience improvement projects.
Cut through the AI HYPE.
BUILD WHAT WORKS.
AI training for every role,
EVERY FUNCTION
We created this course for everyone who needs to cut through the hype and make confident, informed choices about where and how to use AI.
You don’t need a tech background — you just need to be responsible for decisions that affect your team, your customers, or your company’s future.
FOR INNOVATION LEADERS
- Founders
- Entrepreneurs
- Business strategists
FOR OPERATIONAL & SUPPORT ROLES
Customer experience
Customer success
Customer support
Marketing & SALES
HUMAN RESOURCES
Training & Enablement
FOR TECHNICAL ROLES
AI / ML Engineers
Data Scientists
Software DeveloperS
FOR PRODUCT & DESIGN ROLES
- Product managers
- CX designers
- Service designers
For executive & LEADERsHIP ROLES
C-Suite EXECS
Policy Leaders
Board MemberS
AI TRAINING FOR PROFESSIONALS
We offer two solo and small-group training formats to meet your learning needs and busy schedule. Let’s get started!
On-demand AI training & coaching
MORE HERE>>> You’ll gain the technical foundations and business tools you need to accelerate successful AI projects.
Check text on: https://maven.com/bodine/hcd4ai
One idea: What do you think of making this box about the training and the second box about the coaching?
Learn on your own
Expand your expertise and make smarter AI decisions. Work through concise videos, up-to-date readings, and practical exercises — all on demand. In just two weeks, you’ll learn how to quickly identify AI projects that are low-risk, high-impact, and aligned with the needs of your users and your organization.
AI TRAINING FOR
TEAMS & ORGANIZATIONS
This is the AI strategy course that CEOs wish their teams had taken. Ready to be the team that makes your CEO proud? Our AI concept development methodology is step one.
We offer four training formats to fit your organization’s goals.
Learn Together,
Anytime
Up-level your team with flexible, on-demand training. Build the technical foundations and business acumen to accelerate the right AI projects. Learn through videos and readings on your own schedule, tackle exercises together, and bring your collective knowledge back to work — so you can drive smarter, faster AI decisions that actually stick.
Pro Tip! Pair your training with coaching.
Guided AI Training
& Coaching
Learn, practice, and get expert feedback — all in one program. Focused video lessons, private group discussions, interactive exercises, and live coaching with Bodine & Co. experts give your team tailored insights and practical, real-world guidance.
Pro Tip! Kick off your training with a speaking engagement tailed for your organization.
Immersive AI Workshops
Elevate your team’s expertise with a deep-dive workshop experience. Begin with foundational video lessons, then immerse your team in one ore more live workshops featuring dynamic discussions and hands-on exercises led by Bodine & Co. experts.
Customized AI Training
We develop training programs for teams of all sizes. Please get in touch to discuss customized AI training for your organization.
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about your instructors
Who is Kerry Bodine?
Kerry Bodine is a leading authority on experience design that drives business results. As the founder of Bodine & Co. and co-author of the market-defining book, Outside In: The Power of Putting Customers at the Center of Your Business, she has helped global enterprises and high-growth tech companies improve customer and partner experiences that lead to higher retention, faster adoption, and stronger brand loyalty.
Kerry’s work has been featured in Harvard Business Review, Fast Company, and The Wall Street Journal, and her insights continue to influence how organizations compete — and win — through experience-led growth.
Kerry took her first AI coding class in 1996. (Lisp, anyone?)
Who is Dan Saffer?
Dan Saffer bridges the worlds of design practice and academia. As Assistant Professor of the Practice at Carnegie Mellon University, he helps shape the next generation of designers by connecting the theory of human-computer interaction to the realities of professional design work.
Before entering academia, Dan spent over two decades as a professional designer — more than half of that leading UX teams across industries, from robotics to social media giants like Twitter. He is the author of four influential books on design, including the best-selling Microinteractions, which has become essential reading for designers around the world.
Dan holds a Master’s in Design from Carnegie Mellon and has been honored with ten nominations for the National Design Award. He brings a rare blend of strategic insight, practical know-how, and deep empathy for both users and the teams who design for them.
