Help your people use AI with confidence and judgment.
Intuition's AI programs build capability around the work each team does. Three learning tiers serve four audiences through a rolling twelve-week cycle, with practical application and manager support built into the program.
Explore the learning tiers, twelve-week cycle, and approach to measurement.
Explore where AI can help during a working day, where human judgment matters, and how to measure its contribution from the start.
A twelve-week cycle, built around your next cohort.
Assess needs and agree priorities
The Gap Mapper and maturity assessment help establish a starting point. Together, we review the findings, agree priorities, and develop the business case before defining the program's scope.
- Roles mapped to four audiences
- An agreed capability baseline
- A recommended starting point
Establish a shared foundation
Tier 1 covers AI fundamentals, responsible use, prompting, output validation, and business application. A live orientation introduces the program, followed by self-paced learning on Know-How.
Practice with work that matters to each role
Tier 2 and Tier 3 learning follows each audience's needs. Business teams work on role-specific workflows, data storytelling, and process automation. Technical teams use labs and sandboxes for API integration and model work. Workshops and peer cohorts give people time to practice and compare approaches.
Apply, coach, and measure
Capstone projects bring learning into live work, supported by manager coaching. Assessment compares progress with the starting baseline, with reporting focused on behavior and workflow adoption.
A shared foundation, with depth for each audience.
Practical AI literacy for everyone
Help people understand what AI can do, recognize its limits, and check its outputs. The foundation connects responsible use with practical application in their own role.
Applied · business and functional teams
Practice with role-specific workflows and decision frameworks, using the problems teams already need to solve.
Advanced · technical builders
Develop technical capability through labs, sandboxes, coding exercises, and API integration.
Strategic · leadership
Explore AI opportunities, governance, and organizational readiness, with attention to the decisions leaders need to make.
What shapes the program
Learning, practice, and support throughout the program.
Four delivery methods connect individual study with facilitated practice and feedback across the twelve-week cycle.
On-demand digital
Self-paced tutorials on Know-How, personalized by role and available when learners need them.
Live virtual workshops
Facilitator-led sessions with breakout exercises and case work drawn from your business.
In-person intensives
Focused classroom sessions for cohorts that benefit from practicing together.
Coaching and progression
Individual performance support and feedback tied to development goals.
Programs and the people who lead them
The assessment helps us recommend a starting point that fits your priorities and the people involved.
AI Leadership Strategy Program
Led together by Cameron Hedrick, former Chief Learning and Culture Officer at Citi, and Owen Fitzpatrick, behavioral psychologist and author. Available as a one-day executive immersion, a three-session leadership series, or an executive and manager cascade.
Delivered together by Cameron Hedrick and Owen FitzpatrickAI Accelerator
A train-the-trainer program that develops internal champions to support continued learning and adoption.
Engineering and enterprise AI
AI for Engineering Teams and Enterprise AI Systems Engineering develop capability for technical audiences.
Executive Leadership Retreat
A separate offering led by Peter Whealy, author of Lead with AI. Stay Human. The retreat runs for two to three days with roughly ten participants and four capability tracks.
What the program is designed to support
Progress toward productive use
A structured learning path gives teams a way to build understanding, practice, and apply AI in their roles.
Evidence of behavior change
Assessments before and after the program track progress in workflow adoption, giving learning leaders evidence to discuss with the business.
Consistent principles across the institution
Leadership, technical, and business teams develop a shared vocabulary and approach to responsible AI use.
Start with the team you're planning for.
Tell us what they need to do with AI. We'll discuss the relevant learning path and what their first twelve weeks could involve.
AI Programs Overview
See how the three tiers meet the needs of four workforce audiences, who delivers the named programs, and how learning progresses through the twelve-week cycle. The overview also explains how we establish a baseline and measure changes in how people work.
Inside the overview
- The learning depth and outcomes for each audience
- How digital learning, workshops, and coaching fit together
- The twelve-week cycle and your team's role in delivery
Get the overview
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