Human-Centered
AI Training
Empower AI-Ready Leaders & Teams
Not seeing the impact you expected from your AI investment?
Get to AI Value Faster
Organizations often invest in AI expecting productivity to rise along with it. But the path to AI adoption isn’t that straightforward. In reality, people usually experience a dip in productivity as they adapt to new ways of working before any business gains can emerge.
That’s why it’s helpful to think about AI adoption in three phases, each with its own set of challenges that leaders must address to close the gap between AI expectations and AI reality.
You can’t skip the learning curve, but you can reduce the time spent in the dip. The key is identifying the support people need to move from early friction to workflow optimization and, ultimately, to reimagining their work with AI.
Find your place on the curve
Support AI Adoption at Every Stage
ExperiencePoint’s AI experiences are designed to support you through each different phase of AI adoption, helping your people move forward from wherever they’re at. These experiences can be delivered as standalone training or fit naturally within your talent development programs to help leaders and teams become AI-ready.
PHASE 1: Early Friction
Duration
1.5 - 2 hours
Modality
In-person + virtual
Language
English
Audience
Leaders, teams & individuals
AI adoption moves faster when people understand what is changing, why it matters, and how it connects to their work.
Communicating AI Strategy is AI training designed to give leaders and teams a practical way to create that clarity. This AI change management experience helps people contextualize what AI means for their roles, workflows and organizational strategy. They leave with a clearer understanding of who will be impacted, what needs to change, and a communication plan to support AI adoption more effectively.
Duration
2 hours
Modality
In-person + virtual
Language
English, French & Spanish
Audience
Leaders, teams & individuals
PHASE 2: Optimization
Duration
2.5 - 4 hours
Modality
In-person + virtual
Language
English
Audience
Leaders, teams & individuals
PHASE 3: Reimagination
Duration
2 days
Modality
In-person + virtual
Language
English
Audience
Leaders, teams & individuals
AI Training That Works the Way Your People Do
ExperiencePoint’s AI training experiences are designed for leaders and teams who want to apply AI more effectively in their day-to-day work. It’s focused on practical AI adoption, not technical development or strategy consulting. Our approach is built for real adoption; practical, safe, and centered on how people actually work.
Tool-agnostic
Workflow-specific
Human-centered
What Clients Are Saying
AI Adoption Resource Library
FAQs About AI Training
How can we identify which phase our organization is on in the AI adoption curve?
Most organizations can identify their phase by looking at the challenges they’re experiencing today.
Phase 1: Early Friction
Daily AI usage is typically between 15% and 20%, with many people still hesitant, confused or resistant to using the new tool. Those who do use AI are primarily using it for simple tasks like email formatting. Many have yet to understand how context shapes the quality of AI outputs. Leadership lacks confidence in how AI will amplify the organization, while psychological safety and certainty with AI remain low.
Phase 2: Optimization
Daily usage is at least 60% across non-technical teams. AI guidelines are clear, understood and followed. Teams are using AI regularly to amplify their work and prompting is now considered to be a very basic and well-understood skill. Efficiency is improving but teams are still struggling to identify the highest-value use cases and scale successful practices. There is a desire to upskill everyone on agents and learn to use AI to accelerate internal operations.
Phase 3: Reimagination
More than 90% of the organization is using AI regularly, with agents supporting individual workflows and business operations across the organization. AI is already part of how work gets done. The culture has become AI-native, and products and services increasingly include AI components. The challenge shifts from adoption to reimagination, as teams rethink workflows, products and services from the ground up and discover new capabilities and ways of working that weren’t possible before.
A pattern we’ve seen today is that most organizations are somewhere between Phase 1 (Early Friction) and Phase 2 (Optimization). Phase 3 (Reimagination) is typically most relevant for teams with a specific mandate to rethink part of the business, such as product development, service design, customer experience, or innovation.
The goal isn’t to rush to the final phase. It’s to understand where you are today so you can focus on the capabilities, behaviors, and support needed to move forward.
What is human-centered AI training?
Human-centered AI training is workforce development that helps people use AI in ways that elevate, not replace, their own expertise. It focuses on building the practical skills, judgment and confidence employees need to apply AI tools ethically, creatively and responsibly in their daily work.
At its core, this type of training keeps human intelligence at the helm, regardless of whether you’re using Copilot, ChatGPT, Gemini or another tool altogether. It teaches people how to partner with AI to improve problem-solving, optimize workflows and make better decisions, while preserving the nuance, empathy and critical thinking that only humans can bring.
Why do most corporate AI training programs fail?
Most corporate AI training programs fail because they focus too much on tools and not on people. According to Gartner, 85% of AI projects don’t deliver meaningful return because employees aren’t given the support or behavior-change skills needed to integrate AI into their real work.
Successful AI adoption requires a shift in how people think, collaborate and problem-solve. When teams lack the soft skills that enable change, like adaptability, communication and curiosity, AI remains a concept, not a capability.
We’ve seen the difference a human-centered approach can make when rolling out AI training. Our partners at CYY Consulting in China ran the Work Better With AI™ workshop with their clients and saw weekly AI usage jump from 44% to 100% in just three weeks.
Why are AI-ready leaders important?
Leading with AI is no longer just a technology shift. It is becoming a core leadership capability, changing how decisions get made, how work gets done, and how value is created.
AI-ready leaders are better equipped to see where AI can improve performance, make thoughtful decisions about when and how to use it, and help their organizations adapt as expectations for work continue to evolve.
They also play a critical role in turning AI from short-lived enthusiasm into a sustainable capability. By helping people build confidence through hands-on, human-centered practice, leaders can make AI part of how work gets done, not a separate tool or one-time initiative. To learn more, read “5 Ways Leaders Can Drive Better ROI from AI Adoption.”
How do ExperiencePoint’s AI workshops fit into talent development programs?
ExperiencePoint’s AI workshops can be integrated into talent development programs as practical experiences that help leaders and teams apply AI to real-world leadership challenges. They can complement existing modules on change, communication, coaching, innovation, collaboration, and strategic decision-making by giving people hands-on practice with AI in the context of changing work.
The workshops can stand alone, extend an existing talent journey, or serve as an application layer that helps people connect AI readiness to the behaviors, workflows, and team conditions they are already developing.
Here are some common ways ExperiencePoint’s AI workshops have been used:
- Leadership development programs: Add AI capability as a practical layer within existing leadership behaviors you’re already developing.
- Action learning programs: Give participants the literacy and shared AI framework needed to apply AI directly to real problems they’re working through.
- Events: Bring people together while building practical AI capability along the way, whether it’s a retreat, conference, hackathon, keynote, or team event.
- Project kickoffs: Set projects up for success by helping teams identify where AI can support the work, improve collaboration, and unlock new opportunities early on.
How experiential are ExperiencePoint’s AI workshops?
Experiential learning is the bedrock of ExperiencePoint’s philosophy and the core of our most successful workshops.
Our AI workshops are designed to be hands-on, practical, and application-based, not passive presentations about AI. Participants bring their own AI change challenges, storyboard real workflows, identify opportunities for AI to create value, and practice collaborating with the real interest holders who shape adoption within their organizations.
The experience helps people move from awareness to action, so AI becomes something they can apply, discuss, and adapt in their day-to-day work. For more on our experiential approach to AI capability building, read “Deliver AI Training That Hits The Mark.”
How do teams and leaders adopt AI without weakening human judgment?
When teams and leaders start using AI, there is a common fear that people will “turn off their brains.” Research shows the risk is real only when AI is misused. A Wharton study found that when people rely on AI for action signals (explicit instructions on what to do), their judgment eventually declines. But when AI provides attention signals (surfacing options without prescribing a decision), human thinking actually gets stronger.
That’s why ExperiencePoint’s human-centered AI training doesn’t teach people to outsource thinking. It teaches them how to use AI to augment their perspective, strengthen critical thinking and make better decisions. Instead of replacing human insight, AI becomes a tool that broadens it, offering teams a wider view of infinite possibilities while keeping the final call in human hands.
What are AI agents? What kind of AI agents do participants build during ExperiencePoint’s AI workshops?
AI agents are AI-powered tools that handle tasks, work with information, and help you get to a decision or output with less manual effort. In ExperiencePoint’s AI workshops, participants build a working agent tied to a real task from their job. Think Copilot Agents, Custom GPTs, Gemini Gems, and Claude Skills; all agents that gather inputs, draft, summarize, prepare recommendations, or support team decisions.
We start here because the underlying logic is the same wherever you build. Once you understand how to scope a goal, give an agent context, define what it can do, and shape how it decides, moving to the next level up is much simpler. At that point, it’s mostly a question of learning the specific tools and interfaces, whether that’s scheduled jobs, multi-step orchestration, or autonomous workflows. Get the foundation right and the rest follows.