Forty hours that turn AI adoption into results across the whole workforce
A 40-hour program covering the full arc of company-wide AI adoption — from baseline literacy through role-based application, internal champions, and AI governance. It confronts the fact that training alone does not change behavior, and links learning, practice, and adoption into one flow.
What is the company-wide AI adoption program?
The company-wide AI adoption program is a 40-hour course covering the full transformation arc: shared literacy for everyone, applied practice by role, internal champions, and governance. McKinsey's research notes that training alone produces almost no lasting behavior change — 9 out of 10 participants agreed the training was useful, but 7 out of 10 skipped onboarding and relied on experience and social learning instead. And while 89% of organizations say they need stronger AI capability, only 6% have meaningfully started upskilling. This program closes that gap by binding learning, practice, and adoption into one flow, with role-based exercises and internal champions at the center.
Everyone aligned
From executives to front-line staff, one shared standard for using AI and one baseline of literacy.
Applied by role
Sales, marketing, planning, and administration tracks, each automating a real task from that job.
Designed to stick
Internal champions and governance keep the training from ending as a one-off event.
Recognize they need AI skills, versus those actually upskilling
Workers who expect their own job to change within five years
Companies planning to prioritize upskilling by 2030
Evidence and cases
Why this training matters now
Training alone changes nothing: 89% say it is needed, 6% have started
In McKinsey's survey, 89% of respondents said their workforce needed stronger AI skills, but only 6% had begun upskilling in any meaningful way. Nine in ten participants agreed formal training was useful, yet seven in ten skipped the onboarding videos and learned from experience and colleagues instead. AI transformation has to be run as change management, with real work assignments and internal spread, not as a one-off class.
Source: McKinsey, Redefine AI upskilling as a change imperative (2025)
A global company that reskilled more than 10,000 employees for AI
One global technology company moved more than 10,000 employees into AI, machine learning, and data engineering skills through structured learning paths. What made it work was not a single course but role-based learning tracks combined with a system for continuous learning. Worldwide, 85% of companies say they will prioritize workforce upskilling by 2030.
Source: Simplilearn, Enterprise AI Upskilling Case Study / World Economic Forum workforce outlook
Curriculum
40 hours (5 days, or split across a schedule) — what's covered
Company-wide AI literacy
8HHow generative AI works and where it fails | Safety, security, and copyright standards | Shared prompting fundamentals for everyone
Applied practice by role
16HSeparate tracks for sales, marketing, planning, and administration | Each participant automates a task from their own job | Departmental workflow redesign
Developing AI champions
8HDeep-dive training for departmental representatives | How to coach and spread adoption | A structure for sharing use cases internally
Governance and adoption
8HAI usage rules and approval steps | Human-in-the-loop review | Impact metrics and an adoption roadmap
Key concepts in the curriculum
A quick look at what this course covers.
Company-wide literacy
Every employee standing on the same base
Champions spread it
A network growing out from internal champions
Adoption that sticks
AI meshed into how the organization runs
Learning objectives
- Align every employee on shared AI literacy and safe-use standards
- Build applied AI capability by role — sales, marketing, planning, administration
- Develop departmental AI champions and a structure for spreading adoption
- Establish company-wide AI governance and human-in-the-loop operating rules
What you take away
- A shared AI usage guide and safety standard for all employees
- Working output from each role's automation exercise
- A playbook for running and scaling internal AI champions
- Company-wide AI governance principles and an adoption roadmap
Expected outcomes
- AI capability leveled up across the whole organization
- Behavior change that outlasts a one-off training event
- Concrete productivity projects secured in every function
- A self-sustaining internal structure for adoption and coaching
How teams put this to use
Literacy for everyone
One shared standard across departments produces safe, consistent AI use
Automation by role
Each function picks a real repetitive task and automates it during the program
Internal scaling
Departmental champions coach colleagues and circulate use cases across the company
Measuring impact
Define before-and-after metrics so results can be tracked in numbers
Company-wide AI adoption program (40 hours) — FAQ
No. It can run as a 5-day intensive, split across weeks, or shaped around your calendar. Departmental tracks can run in parallel, or the stages can be spaced out to leave room for adoption in between.
No. The shared literacy stage aligns the baseline first, then the program branches into tracks by role and level. Both first-time users and existing users work on exercises that are meaningful at their own level.
That worry is exactly why the program is built this way. Since training alone does not change behavior, we add automation exercises on participants' own work, champion coaching, an adoption roadmap, and impact measurement to push past the one-off event.
Each department nominates people with strong interest in AI and the ability to coach colleagues, and they take the deep-dive track. We also design the coaching methods and case-sharing structure that turn them into adoption hubs afterward.
Within the program you define the metrics that compare before and after by role — handling time, output volume, quality. Tracked along the adoption roadmap, they give you quantitative evidence for executive reporting.
Company-wide AI adoption program (40 hours) — get started
Tell us your goals and headcount, and we'll design the program around them.