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Enterprise AI teaching teamAI Enterprise Training Platform / Agentic Learning Platform · V49
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AI Enterprise Training Platform / Agentic Learning Platform

Three AI teaching partners are configured for large-scale corporate training: training partner, class teacher, and Q&A instructor.

Allow enterprises to configure three types of AI Agents with clear division of labor in a training project, and continuously generate auditable learning support records around exercises, companionship, and Q&A, helping large-scale training get closer to a personalized 1V1 support experience.

  1. 01
    Project settingsFill in the training project name, scenario, learner group, course objectives, materials and boundaries.
  2. 02
    The teaching team has been configuredA three-Agent teaching team configuration is generated and confirmed by the training leader.
  3. 03
    Learning support is runningLearners can role-play, receive risk reminders, and submit course questions.
  4. 04
    Review and exportExport the project report to view the interaction records and risk boundaries of the three types of Agents.
Three Agent configuration completenessThe teaching team has not been configured yetCheck whether the three roles SKILL_COACH, CLASS_ADVISOR, and QA_TUTOR in agent_team_record exist; display 0/3 to 3/3.
Number of sparring feedbackNo sparring feedback yetCount the number of roleplay_feedback_records in the current project.
Number of Q&A recordsNo Q&A record yetCount the number of current project qa_answer_records and distinguish records that require manual confirmation.
Number of reminders from the class teacherNo class teacher reminder yetCount the number of advisor_intervention_records of the current project, grouped by review status.
Promotional indicator tipsAuditable performance indicators are not configuredIf the project is not configured with an auditable metric_source, publicity indicators such as 75% or 30 times will not be displayed.
BUSINESS INPUT

New project

The person in charge of corporate training configures course objectives, learning groups, practice tasks, and work boundaries for three types of AI Agents for a training project.

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TRACEABLE OUTPUT

Teaching team workbench

Results, sources, failures, approvals, and rollbacks are saved by project.

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No business results yet

Please first fill in the training project objectives, learning risk triggering rules and question and answer scope.

PRIVACY

Data use boundary

This product may address corporate course materials, staff exercise content, learning issues and learning risk events. Administrators should only upload materials required for training and avoid uploading irrelevant sensitive information such as ID number, salary, medical records, and disciplinary records; learning risk events are only used for learning support and should not be used as a basis for performance appraisal or punishment. Current 10 role review supplement: The scope of sensitive data must cover course materials, learner submissions, learner questions, answers, quotes, risk events, class teacher reminders, interaction logs, export reports, model run records and uploaded material derived content. ; Administrators should only upload materials required for training and avoid uploading irrelevant sensitive information such as ID number, salary, medical records, and disciplinary records. ; Learners should be able to see the purpose description, visibility range, manual confirmation status and error correction/request manual help entrance for their submissions, questions, feedback and risk reminders. ; Audit logs should only save necessary metadata, operation summaries or hashes, and not the complete sensitive text. ; The deletion and retention policy must cover uploaded files, generated records, derived indexes/summaries, model run logs, export reports, approval records, audit summaries and backups.

RETENTION

Data retention

Project data is saved on the site for 180 days by default; administrators can manually delete projects, materials, and interaction records. After deletion, only the necessary audit log summaries are retained to prove who performed the configuration, approval, export, or deletion operation when.

SAFETY

Human responsibility and rollback

AgentLearn generates corporate training learning support content and may contain incomplete or incorrect feedback and Q&A. When it comes to compliance, legal, medical, financial, personnel discipline, production safety or other high-risk conclusions, they must be reviewed by experts or persons in charge designated by the company before they can be used for formal training or management decisions. The system does not certify the 75% R&D efficiency boost or the 30x performance improvement advertised in the video.

Rollback only refers to undoing the teaching team configuration version, report content, reminder status or workflow stage generated in this site, and restoring to the previously saved site records; this product is not connected to an external LMS, HR, messaging system or production system, so rollback will not and cannot undo any external system changes.