Role fit
Pick the learner's function, workflows, tools, maturity level, and first useful AI use cases.
Start every learner and team with a role-aware AI readiness assessment. AIducation identifies practical AI skill gaps, routes people into the right academy, and creates evidence leaders can use before scaling AI at work.
The baseline checks behavior that matters in real work: role fit, workflow maturity, verification, safety, tool fluency, and manager-visible evidence.
Pick the learner's function, workflows, tools, maturity level, and first useful AI use cases.
See whether AI is used as a one-off helper, repeatable assistant, or governed workflow system.
Check facts, calculations, sources, citations, policy claims, and handoff quality before live use.
Measure privacy behavior, approved-tool awareness, escalation judgment, and data handling.
Route learners into missions for ChatGPT, Claude, Gemini, Copilot, Cursor, Excel AI, and automation tools.
Produce readiness scores, skill gaps, coaching priorities, certificates, and org-level reporting.
Choose a role to see the academy, simulations, skill atoms, tool missions, and readiness signals the baseline assessment should route toward.
Support, CX, QA, and support operations teams
Sales, revenue, SDR, AE, and customer growth teams
Marketing, content, growth, lifecycle, brand, and creative teams
HR, people operations, recruiting, L&D, and managers
Finance, FP&A, accounting, revenue, and operations teams
Engineering, platform, security, QA, and developer productivity teams
Product managers, product ops, research, and design partners
Executives, transformation leaders, CIOs, COOs, and business unit leaders
Operations, process excellence, business ops, and service delivery teams
Students, independent learners, and early-career professionals
Teachers, instructional coaches, curriculum teams, and school leaders
Public-sector teams, procurement leaders, citizen service teams, and administrators
Healthcare administrators, patient communication teams, and compliance operations
Legal, procurement, compliance, contracts, and risk teams
Owners, operators, local teams, and growing small businesses
The assessment is not a survey that disappears into a dashboard. It becomes the learner's plan, simulation queue, rubric baseline, exit comparison, and manager-readable evidence trail.
Start before training with role, maturity, workflow, policy, and tool-readiness checks.
Map gaps to skill atoms, rubric contracts, daily missions, and role academy modules.
Practice realistic workplace tasks and get graded against role-specific rubrics.
Compare before/after readiness and export evidence for managers, certificates, and audits.
The smallest trainable AI capability, such as verifying before promising a refund or citing a source before summarizing research.
A realistic workplace situation that lets a learner practice a role-specific AI workflow before using it on live work.
A versioned scoring standard that defines how accuracy, safety, clarity, judgment, and evidence are graded.
A guided practice loop that combines scenarios, tool use, feedback, and repeatable proof of improvement.
A sequence of missions mapped to a role, team, maturity level, and approved AI tool catalog.
A baseline or exit evaluation that measures readiness, routes coaching, and gates credential evidence.
A badge, certificate, readiness score, or evidence trail that proves what someone can safely do with AI.
A team-level coaching artifact that turns learner attempts, results, credentials, and weak dimensions into next actions.
A company-level AI capability, policy, risk, workflow improvement, credential coverage, and ROI map.
Start with the baseline, train through role simulations, then use exit evidence to prove who is ready and where each team still needs coaching.