# The Ladder AI Engine Transparency

Effective June 11, 2026 | Version 1.0

This document explains what The Ladder AI's training and certification engine does, what data it uses, and how its outputs should be interpreted.

## What the Engine Is

The Ladder AI engine is a guided AI training, placement, assessment, and validation system. It helps structure learner conversations, connect work to standards, and produce reviewable evidence for credentials.

The engine supports the training process. It is not a professional licensing body, government agency, school registrar, hiring authority, legal advisor, medical advisor, or financial advisor.

## Inputs

The engine may use:

- Selected pathway, topic, product, use case, level, or role.
- Learner responses during placement, training, and assessment.
- Transcript history and training evidence.
- Standards, rubric, and validation criteria.
- Account and credential metadata needed to save records.

Users should avoid submitting unnecessary sensitive personal information.

## Outputs

The engine may produce:

- Placement recommendations.
- Training prompts and feedback.
- Assessment questions.
- Proposed credential outcomes.
- Independent validation summaries.
- Transcript-ready evidence.
- Standards and employment-readiness mappings.

## Human Review and Interpretation

The Ladder AI records are meant to be inspectable. Schools, teams, employers, and program administrators should review the evidence, transcript, rubric, and validation result before making consequential decisions.

## Provider Transparency

The Ladder AI may use third-party AI model providers to generate training conversations, assessments, and validation reviews. Provider lists and subprocessors should be documented in institutional agreements when required.

## Limitations

AI outputs may be incomplete, outdated, biased, or wrong. The engine may misunderstand a response, overestimate or underestimate readiness, or generate unclear feedback. Users should report suspected errors so they can be reviewed.