Assessment integrity you can defend — and actually use.
PlayAblo’s AI Proctoring is an assessment governance layer: identity validation, configurable risk logic, and evidence-backed supervisor review — designed for regulated certification programs and internal skill validations.
Outcomes leaders care about.
Hybrid positioning: certification-grade integrity + internal fairness at scale.
From “monitoring” to assessment governance.
The goal isn’t surveillance. It’s predictable policy enforcement with reviewable evidence — so your results remain credible and can be used safely in Skills Intelligence decisioning.
- Live invigilators or rigid monitoring rules
- Subjective decisions; limited proof trail
- Hard to scale cost-effectively
- Disputes are difficult to resolve
- Assessment data is weak for talent decisions
- Assessment-level activation (policy-based)
- Identity validation before attempts
- Configurable Red/Amber/Green logic
- Evidence capture for supervisor review
- Trustworthy signals for Skills Intelligence
How it works — simplified.
A consistent workflow from activation to evidence-backed review.
- Turn on “Requires AI Proctoring” at the assessment level
- Use selectively: high-stakes modules or certification gates
- Keep low-stakes quizzes friction-light
- Camera + mic checks and environment readiness
- Profile photo capture and face match before start
- Mismatch flows to retry or supervisor policy action
- Face presence, audio, tab switching, copy/paste patterns
- Configurable thresholds for different risk levels
- Signals are logged, not “instantly punished” by default
- Dashboard filters by location, dept, course, severity
- Review evidence: images/snaps/logs per incident
- Actions are governed by span-of-control and policy
Selective activation — reduce friction where it doesn’t matter.
Apply proctoring only for high-stakes moments: certification checkpoints, role-readiness validations, or final assessments that feed Skills Intelligence dashboards.
Identity assurance before the assessment begins.
Prevent impersonation and reduce disputes with pre-test validation: device readiness, profile photo capture, and face match before a high-stakes attempt is allowed.
Risk-based flag hierarchy.
Not every signal should end an attempt. PlayAblo classifies behaviors into a severity model — so policy is applied consistently.
- Impersonation / mismatch
- No face detected beyond threshold
- Multiple faces detected
- Audio detected
- Frequent head movement
- Tab switching / focus change
- Copy/paste patterns
- Random captures
- Periodic evidence snapshots
- Baseline attempt telemetry
Human review where it matters.
Supervisors get a structured view: severity, timelines, evidence, and audit trails. Decisions remain governed by span-of-control — designed for enterprises, not ad-hoc policing.
Governance & control
Proctoring must match policy. Configure thresholds, define actions, and retain auditable histories to satisfy compliance and internal fairness expectations.
Feature highlights
Browse key capabilities — built for governance and scale.
FAQs
Common executive and governance questions.
Make assessments trustworthy — for compliance and capability decisions
Run certification-grade integrity, maintain internal fairness, and feed higher-confidence evidence into Skills Intelligence — with governance built in.