AI upskilling program
AI Upskilling and AI Champions Program: 90 Days to Daily AI Use
For companies that want AI fluency across the whole team, not one good workshop. Champions, cohorts, office hours and a shared use-case backlog over 60 to 90 days, measured against a baseline and run on the tools you already pay for.
Why one-off AI training doesn't upskill a company
A workshop changes what a few people know. AI upskilling changes what a whole company does on an ordinary Tuesday, and that takes practice over time, a use case for every role and people nearby who can help.
The research points the same way. BCG's AI at Work 2025 study found that employees with five or more hours of training were more likely to become regular AI users, 79% versus 67%, and only 36% said their training was enough. Section's AI Proficiency Report 2026 found that 85% of knowledge workers have no value-driving AI use case. A slide deck fixes neither problem. AI training programs for employees work when they run long enough to build habits and give every person a specific use case, which is how all of our AI training is designed.
The 90-day AI upskilling program at a glance
Most companies run the full 90 days. Smaller teams can compress it to about 60.
| Phase | What happens | Output |
|---|---|---|
| Days 0–14: Foundations | Sponsor kickoff, baseline survey, champion selection, AI policy check and a use-case intake from every team | A baseline, a champions roster and a first use-case backlog |
| Days 15–45: Cohorts | Cohort workshops on the 4Ds and on your tools, with weekly office hours | Two to three working AI assets per participant |
| Days 46–75: Build and spread | Champions run team demos, the backlog is prioritized, and the strongest assets become shared team instances | A shared prompt library and configured team assistants |
| Days 76–90: Measure and hand over | Repeat survey, usage review, sponsor readout and an ownership plan for what comes next | A 90-day readout and a next-quarter plan |
Five parts of an AI upskilling program
An AI champions network
One champion per team or department, trained deeper and earlier than everyone else, who becomes the first person colleagues ask.
Cohort workshops
Hands-on sessions for groups of 8–25, built around each participant's real tasks and run on the tools your company already uses.
Weekly office hours
A standing drop-in where people bring stuck tasks, broken prompts and new ideas. Office hours catch the problems a workshop never sees.
A shared use-case backlog
Every idea goes into one list, scored on time saved, frequency and risk. The top items become team assistants or move to automation.
Measurement
A baseline before kickoff and the same measures at days 30, 60 and 90, so the sponsor sees use and time saved, not session ratings.
How the AI champions program works
Champions are the part of AI upskilling that keeps working after we leave. We help each team pick one person who is curious, respected and close to the work, not necessarily the most technical. Champions get an earlier and deeper track: building reusable assistants, writing Skills and assistant instructions, reviewing prompts and running a short demo in their team's regular meeting.
Plan on one to two hours a week per champion during the program. In return, each champion owns a section of the shared prompt library, brings their team's strongest ideas to the use-case backlog and flags blockers early. By day 90 the champions network is the company's internal AI support desk, with a playbook for onboarding new hires and reviewing new tools.
AI literacy training vs AI fluency vs AI upskilling
| AI literacy | AI fluency | AI upskilling | |
|---|---|---|---|
| Focus | Understanding what AI is, how it works and its risks | Working with AI effectively, efficiently, ethically and safely | Raising fluency across a whole company over time |
| Typical format | Course or e-learning | Hands-on practice on real tasks | A program: champions, cohorts, office hours and measurement |
| Measured by | Completion and quiz scores | Quality of AI-assisted work | Use, time saved and new use cases against a baseline |
Literacy is the floor, fluency is the goal
AI literacy training teaches people what AI is and where it goes wrong, and it matters; see our glossary entry on AI literacy. But literacy alone rarely changes how work gets done. Operator Intelligence builds the program around the AI fluency framework developed by Anthropic with Professors Rick Dakan and Joseph Feller, which treats Delegation, Description, Discernment and Diligence as skills to practice, not facts to memorize.
Discernment usually needs the most work. Anthropic's AI Fluency Index (February 2026) found that only 8.7% of 9,830 analyzed conversations showed users checking facts, so every cohort drills review checklists on real output.
Corporate AI training for lean companies and Fortune 1000 teams
The program scales in both directions. For a $1M–$10M company, the whole staff might be two cohorts and three champions, and the program doubles as the company's AI operating model. For enterprise AI training at a Fortune 1000 company, we run the program for one business unit at a time with its own sponsor and baseline, so results stay measurable and the model can spread to the next unit. Companies with EU staff should also review the EU AI Act's AI literacy provision with counsel; we provide the training, not legal advice.
What the company keeps
- A trained AI champions network with a written champion playbook
- Two to three working AI assets per participant, in your own accounts
- Shared team assistants, such as Claude Projects and Skills, ChatGPT projects or Gemini skills
- A shared prompt library organized by role and task
- A prioritized use-case backlog, with the next candidates for automation
- An AI acceptable use policy adapted to your business
- Baseline and day-90 results, plus a next-quarter plan
What we need from you
- An executive sponsor who owns the outcome and attends the readout
- Business-tier seats on your chosen AI tools for participants
- One champion per team, with one to two hours a week protected
- About three hours a week per participant during their cohort
- Managers who join the opening briefing and protect practice time
- An admin or IT contact for accounts, sharing and connectors
Who leads the program
AI upskilling programs are led by Operator Intelligence co-founder Chad Westleigh, who completed Anthropic's AI Fluency: Framework & Foundations and Teaching AI Fluency courses (certificates of completion), holds an MIT Professional Education certificate in Applied Agentic AI for Organizational Transformation and has logged 5,500+ hours of hands-on AI work over the last two years. Co-founder Luke Freeman brings 20+ years in promotional products distribution and sales, which keeps sales-team cohorts grounded in how deals close.
Frequently asked questions
How is the upskilling program different from the Team AI Bootcamp?
The Team AI Bootcamp is a two- to four-week cohort for one group of 8–25 people. The upskilling program runs 60 to 90 days across several cohorts and adds champions, office hours, a shared backlog and company-wide measurement. Many programs use bootcamp cohorts as their core.
How much employee time does AI upskilling take?
About three hours a week per participant during their cohort, and one to two hours a week for champions. Because people train on their own tasks, much of that time produces real work.
Can the program run remotely?
Yes. Cohorts and office hours run virtually, in person or hybrid. Many companies run the kickoff and capstone in person and everything else virtually.
We use several AI tools. Does that work?
Yes. We train on the tools you already pay for, whether Claude, ChatGPT, Gemini or Copilot, and recommend by job rather than vendor. The prompt library and assistant instructions are written to carry across tools.
What does an AI upskilling program cost?
Cost depends on headcount, the number of cohorts and champions, the tools involved and delivery format. We don't publish fixed prices; see how we price and request a scoped proposal.
What happens after day 90?
The champions network keeps the program running, and the use-case backlog shows what to build next. Some clients add an AI Workspace Setup for shared assistants or move top backlog items into automation pilots.
Plan a 90-day AI upskilling program
Tell us how many people, which teams and which tools. We'll send a scoped program plan with champions, cohorts and the measures your sponsor will see at day 90.
Plan an upskilling programSources
- BCG, AI at Work 2025 (2025): Employees with 5+ hours of AI training were more likely to be regular users (79% vs 67%); 36% say their training is enough
- Section, AI Proficiency Report 2026 (2026): 85% of knowledge workers have no value-driving AI use case
- Anthropic, AI Fluency Index (2026): 8.7% of 9,830 analyzed Claude.ai conversations showed fact-checking (AI Fluency Index, published February 2026)
- Anthropic, The AI Fluency Framework (2025): AI Fluency: interacting with AI in ways that are effective, efficient, ethical and safe; 4D Framework copyright 2025 Rick Dakan, Joseph Feller and Anthropic
- Anthropic Academy (2025): AI Fluency: Framework & Foundations course developed with Prof. Joseph Feller (University College Cork) and Prof. Rick Dakan (Ringling College)
- artificialintelligenceact.eu (2024): EU AI Act Article 4 addresses AI literacy for providers and deployers (mentioned only as a prompt to consult counsel)
Related
Team AI Bootcamp
The two- to four-week cohort at the core of most programs.
The AI Fluency Framework
Anthropic's 4Ds explained, with exercises.
What Is AI Literacy?
A plain-English definition and how it differs from fluency.
Executive AI Workshop
Leadership alignment before a company-wide program.
AI Training & Fluency
All programs and the tools we configure.