Department Pilot
$11,250
25 employee seats
$450 per employee
A department pilot creates enough learner data to decide whether EA3 should expand, be adjusted, or pause before broader investment.
Medium company AI training
Give your department a shared way to think about AI.
Build shared habits for framing problems, questioning outputs and explaining decisions, with practical learning and feedback across a department pilot.
When teams define tasks differently and judge outputs inconsistently, AI can add review work. EA3 gives employees a common approach to goals, context, evidence and responsibility. Evaluate learning progress and workplace outcomes before expanding.
What employees learn
Frame better problems. Make better-informed decisions.
L&D teams, operations groups, finance teams, HR teams, service teams, customer support groups, and department leaders preparing a broader AI enablement plan.
Define the problem, the audience and what a successful result must achieve.
Express clear thinking in a prompt with relevant context, constraints and review criteria.
Check AI output for missing facts, unsupported claims, tone problems, and risky assumptions.
Protect sensitive data and use public, supplied, made-up, or organization-approved information.
Decide when AI should help, when direct human work is better, and when a person must approve the result.
Build reusable work patterns instead of relying on one-off AI experiments.
Rollout model
Start controlled. Expand only when the evidence supports it.
A department pilot creates enough learner data to decide whether EA3 should expand, be adjusted, or pause before broader investment.
01
Grant one complimentary executive sponsor seat for a CISO, Chief Training Officer, or department lead.
02
Launch a 25-seat pilot in one department or cross-functional cohort.
03
Review progress, completion, support needs, aggregate usage, and privacy-boundary signals.
04
Move to 50 or 100 seats only after the first cohort shows usable evidence.
Leader visibility
Evaluate the pilot while protecting private learner work.
Company reporting should show readiness signals and aggregate usage. It should not expose private learner prompts, answers, profile summaries, coaching feedback, or cross-company data.
Adoption and day-progress patterns.
Required-work completion and Skill Check status.
Prompt Champ shield progress as a practical practice signal.
Aggregate AI usage/cost and check-in risk.
Recommended pricing
A clear pilot price makes the buying decision easier.
Individual learner access remains $299. Company pilots are priced as a business rollout decision, with continuation available after the core program.
PackagePriceNotes
25-seat pilot$11,250$450 per employee
50-seat rollout$21,000$420 per employee
100-seat rollout$39,900$399 per employee
Continuation$49 per learner/monthOptional after the core program
Thinking you can practise
A better question starts with a clearer problem.
AI Trained Me (EA3) is a learning platform for individuals and teams. Across 30 practical lessons, you work through scenarios, explain your decisions, receive feedback and revise gaps. A final project (capstone) brings those decisions together.
01
Frame the problem
Name the decision, who it affects and what a useful result must achieve.
02
Decide whether AI fits
Consider the available facts, privacy boundaries and whether direct human work is the better choice.
03
Ask with purpose
Give relevant context, clear constraints and a way to check the answer.
04
Check the evidence
Test claims against supplied sources. Identify assumptions, gaps and reasons to hold.
05
Improve and decide
Revise the work, explain your choice and keep responsibility with the person using it.
An illustrative workplace example
From a vague request to a useful decision.
“Use AI to improve customer support.”
Before writing a prompt, clarify the problem: are customers waiting too long, receiving incomplete answers or being sent to the wrong team?
A more useful starting point
“Compare the supplied fictional enquiries with the approved service guide. Identify unanswered questions and propose a staff checklist. Flag missing facts. A team lead must review it before use.”
Now there is a purpose, a source boundary, an output to inspect and a person responsible. The learner still has to check whether the proposed checklist solves the problem.
Skill Checks assess the work you submit. Feedback and focused corrections help you address gaps. Completion records learning progress; workplace use still needs appropriate checks and approval.
Company AI training FAQ
Questions buyers ask before a pilot.
Understand the learning approach, practical benefits and reporting boundaries before choosing a pilot.
Can better problem framing reduce AI costs?
Clearer goals and review criteria can reduce unproductive back-and-forth and avoidable rework. The effect depends on the task and tools. EA3 does not promise a quantified saving; evaluate quality, time and cost in your own approved pilot.
What does learning how to think about AI mean?
It means defining the problem, deciding whether AI fits, supplying relevant context, checking the evidence and explaining what to do next. EA3 develops these habits through practical scenarios and feedback.
Is this only prompt engineering training?
Prompting is one way to express clear thinking. EA3 connects it to problem framing, source checks, privacy boundaries, workflow design and deciding when direct human work is the better choice.
Do employees need a paid AI tool?
No paid AI tool is required to begin. EA3 provides guided practice and uses safe training contexts so learners can build judgment before bringing AI habits into real workplace systems.
What can a company sponsor see?
A company sponsor should see adoption, progress, required-work completion, Prompt Champ shields, check-in risk, and aggregate AI usage/cost. Sponsors should not see private learner answers, prompt text, profile summaries, or coaching details.
How long is the core program?
The core path has 30 practical AI lessons, with scenario practice, Skill Checks, feedback, focused corrections and a continuing capstone. Completion time depends on pace and the work needed to address gaps.
Is this compliance training?
No. EA3 reinforces responsible AI habits and privacy-aware behavior, but it is not a substitute for company policy, legal review, regulated-industry compliance, or formal security training.
Compare company options