PERCEPTORS AI · TRUST & GOVERNANCE

Trust is part of
the product.

Perceptors is designed for healthcare education where every learning claim, assessment, and release needs a clear owner, a review path, and a record of what changed.

GCLS AI in Healthcare learner home dashboard

OPERATING PRINCIPLE

A governed operating model, not a black box.

The Agent Harness gives specialized agents shared context and bounded permissions while people retain approval over evidence, curriculum, assessment, localization, and launch.

GOVERNANCE CONTROLS

Evidence attached. Decisions visible.

01INPUT

Source grounding

Approved research, guidelines, institutional materials, and expert knowledge enter as a defined source package.

02DECISION

Human approval gates

Reviewers can accept, revise, reject, and return work before it reaches learners or a new locale.

03RECORD

Traceable releases

Keep a clear record of source versions, agent outputs, reviewer decisions, and programme updates.

WHO DOES WHAT

One system. Clear accountability.

BRIEF → LAUNCH

Programme owner

Shape the brief, outcomes, audience, and launch model.

Owns the programme proposition
REVIEW → APPROVE

Clinical / academic reviewer

Inspect evidence, objectives, assessments, and changes before approval.

Owns quality and standards
LEARN → APPLY

Learner

Follow a guided path, ask grounded questions, and see progress toward mastery.

Owns the learning journey
OPERATE → IMPROVE

Administrator

Monitor cohorts, permissions, completion, and operational signals across programmes.

Owns delivery visibility

Specific security, privacy, hosting, retention, and certification requirements are scoped with each institution during discovery. Perceptors does not replace your clinical, academic, or compliance governance.

Discuss your governance requirements Compare with a custom-built LMS