AI Training

Understand the opportunity.
Learn by doing.

A strategy needs people who can put it into practice. We help teams build judgment and practical AI skills through workshops, role-specific practice, and build-alongside support, within agreed tool and data boundaries.

Discuss team training
20–100
Participants per cohort
4–6 wk
Program duration
Three formats

A shared understanding.
Practical skills to act on it.

Choose the format that fits your team’s work: understand the opportunity, build practical skills, or learn alongside the engineers delivering your application.

01

Enterprise training program

The full four-step program. Twenty to one hundred participants build working AI tools over four to six weeks, then present what they built to leadership. Team leads hold the accountability structure. Participants work within defined privacy and tool-use guidelines, and the scope is agreed with your legal and security teams before the first session.

Scope the program →
  • 90-minute kickoff workshop, in person or virtual
  • Each participant chooses a problem to solve with AI
  • Weekly office hours with hands-on troubleshooting
  • Team lead accountability structure across cohorts
  • Live showcase where participants present what they built
  • Multiple cohorts can run in parallel across regions
02

Executive keynote and workshop

A 60 to 90 minute session for leadership teams, board offsites, or all-hands meetings. Combines a view of where AI is heading with hands-on building. Useful for creating alignment before a broader program. Designed around the team’s current priorities and approved tools.

Book a session →
03

Build-alongside engagement

Your engineers and analysts build alongside our team. They learn how the application works, why decisions were made, and how to extend it. Documentation and practical handover give them the knowledge to operate the system independently and evaluate new AI capabilities as they emerge.

The governed path →
What participants build

Projects completed
by people who had never written code.

Representative work from employees at Fortune 500 companies, each built during a four to six week cohort.

Decision support tool
A structured comparison engine for a major purchase, weighing options against criteria the builder defined and explaining every recommendation.
Adaptive math tutor
A tutor calibrated to a child's grade level, pace, and curriculum. The builder became the department's internal reference point on AI.
Family command center
Schedules, school activities, and household logistics managed through a system integrated with voice and calendar tools.
Leadership outcomes

Skills your team can put to work.

Agree the learning objectives, review progress, and connect the program to the work your team needs to do.

Practical competency
Guided practice building, evaluating, and improving an AI application, with progress reviewed throughout the program.
Internal champions
A cohort of team leads and capable builders who carry adoption into their own departments.
Capacity to own your systems
Equip internal teams to operate the application, assess its outputs, and prioritize improvements as business needs and models evolve.
A repeatable structure
A program design that extends to other regions, functions, and business units without being rebuilt.
Cultural shift
Movement from passive awareness of AI to confident use of it in daily work.
A controlled risk profile
No company data, company systems, or company logins are used. Participants work within defined privacy and tool-use guidelines, and program boundaries are agreed with your legal and security teams before launch.

What does your team need to put into practice?

Tell us about your team, its current experience, and the priorities ahead. We can consider the format, scope, and support that fit.