policy readiness
Company policy
Generates training from policy.
Skill atomsScenario seedsRubric contractMissions
Studio turns policies, documents, examples, calls, tickets, SOPs, and work samples into reusable skill atoms, simulations, rubric contracts, missions, and internal academies.
Scenario, rubric, course, policy-to-training, and internal academy builders for company-specific AI education.
Studio is the creation layer for the broader platform. It lets enablement, L&D, compliance, and operators create content once and reuse it across Core, Teams, and Enterprise.
Turn AI policies, SOPs, security rules, and department guidance into role-specific training scenarios.
Generate realistic workplace simulations from tickets, calls, briefs, code reviews, contracts, and internal docs.
Create versioned rubric contracts with dimensions, evidence requirements, pass criteria, and failure modes.
Package skill atoms, missions, learning paths, and credentials into a company-specific AI academy.
Studio turns source material from real work into reusable AIducation objects: skill atoms, scenarios, rubrics, missions, learning paths, credentials, and academy blueprints.
Generates training from policy.
Generates training from job description.
Generates training from SOP.
Generates training from work sample.
Generates training from internal documentation.
Generates training from support ticket pattern.
Generates training from sales call transcript.
Generates training from marketing brief.
Generates training from codebase context.
This preview generates draft content only. Admins review, revise, and publish through the existing primitive management tools.
Studio previews the actual authoring objects AIducation needs: skill atoms, scenarios, rubric contracts, and missions. The same generator works across every role academy.
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.