Starter Company Pilot
$4,500
up to 10 employee seats
$450 per added pilot seat
A 10-seat pilot gives the owner a simple read on adoption, progress, support needs, and whether a wider rollout is worth it.
Small company AI training
Teach a small team to frame the task, ask useful questions and check the answer through 30 practical lessons with feedback.
A vague request can lead to repeated prompts and more work to correct. EA3 helps employees clarify what they need, choose relevant context and judge whether the result is usable. Start with a focused pilot and evaluate the effect on everyday work.
Starter Company Pilot
$4,500
up to 10 employee seats
$450 per added pilot seat
A 10-seat pilot gives the owner a simple read on adoption, progress, support needs, and whether a wider rollout is worth it.
What employees learn
Founder-led teams, operations teams, administrative teams, customer support teams, and small professional-services firms.
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
A 10-seat pilot gives the owner a simple read on adoption, progress, support needs, and whether a wider rollout is worth it.
01
Start with one complimentary executive sponsor seat for the owner, CISO, or training lead.
02
Open up to 10 employee seats for a 30-lesson problem-framing and AI-judgment pilot.
03
Review adoption, learner progress, support needs, and cost signals before adding more seats.
04
Expand only if the pilot shows useful behavior change and manageable support needs.
Leader visibility
Company sponsors do not receive private learner answers, prompt text, profile summaries, or score feedback. Reporting should stay at adoption, progress, risk, and aggregate usage level.
Who has access and who has started.
Program progress and completion signals.
Skill Check and Prompt Champ shield progress.
Support queue and estimated AI cost signals.
Recommended pricing
Individual learner access remains $299. Company pilots are priced as a business rollout decision, with continuation available after the core program.
Thinking you can practise
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
Name the decision, who it affects and what a useful result must achieve.
02
Consider the available facts, privacy boundaries and whether direct human work is the better choice.
03
Give relevant context, clear constraints and a way to check the answer.
04
Test claims against supplied sources. Identify assumptions, gaps and reasons to hold.
05
Revise the work, explain your choice and keep responsibility with the person using it.
An illustrative workplace example
“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
Understand the learning approach, practical benefits and reporting boundaries before choosing a pilot.
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.
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.
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.
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.
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.
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.
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.
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