Enterprise Readiness Pilot
$39,900
100 employee seats
$399 per employee
A 100-seat readiness pilot gives leadership a controlled signal before procurement, governance, support, and scale decisions.
Large company AI training
Build better AI judgment across your workforce.
Develop the thinking behind purposeful AI use: frame problems, ask better questions and evaluate answers. Begin with a controlled enterprise pilot.
At scale, unclear tasks and unchecked answers can multiply avoidable effort. Teach employees to define success, choose appropriate AI use and make defensible decisions. Use pilot evidence to assess quality, rework, support and readiness for expansion.
What employees learn
Frame better problems. Make better-informed decisions.
Enterprise learning teams, AI adoption leaders, security leaders, operations leaders, and business-unit sponsors evaluating workforce AI readiness.
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 100-seat readiness pilot gives leadership a controlled signal before procurement, governance, support, and scale decisions.
01
Start with one complimentary executive sponsor seat for a CISO, Chief Training Officer, or AI adoption lead.
02
Run a 100-seat readiness pilot in one business unit or controlled cross-functional cohort.
03
Review adoption, progression, support burden, aggregate AI usage, and privacy-boundary evidence.
04
Move to 250 or 500 seats only after capacity validation and production scale readiness are accepted.
Leader visibility
Evaluate the pilot while protecting private learner work.
Enterprise sponsor views should remain privacy-preserving: progress and aggregate signals are visible, while private prompts, answers, coaching details, profile summaries, and cross-company data stay protected.
Company-scoped adoption and progress signals.
Required-work completion and practical evidence signals.
Prompt Champ shield progress and check-in risk.
Aggregate AI usage/cost, including learner-cost guardrails.
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
100-seat pilot$39,900$399 per employee
250-seat staged rollout$87,500$350 per employee
500-seat rollout$149,500$299 per employee after scale validation
Enterprise setupCustomGovernance, reporting, procurement, or integration scope
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