Automatically compares proctoring frames with the user’s profile image to confirm identity, highlighting anomalies and surfacing sessions that may need review.
Detects multiple or obscured faces in submitted assessment images/videos and routes those attempts to review, preventing shadow assistance and standardising proctoring outcomes.
Applies configured rules to auto-approve compliant submissions and queue only exceptions—reducing manual review load by up to ~92%* depending on your setup and baseline.
Passing a face check doesn’t mean they can do the job. LAAMP AI tracks fail streaks, rapid retries, and guess-patterns. When thresholds are exceeded, Auto-Verify is blocked and the attempt is routed to review with evidence—protecting competency and keeping audits clean.
Define how strict verification should be per location so high-risk sites run tighter checks while lower-risk sites move faster. Applied consistently to all submissions from that location, with changes fully logged.
AI Document Checks
Auto-validate IDs and enforce the correct document type per course to prevent wrong uploads and mismatches.
Uniform/PPE Detection
Auto-detect required PPE in submitted images/videos and flag non-compliance with proof for consistent decisions.
AI Video Analysis
Flag missed steps or out-of-sequence actions in practical videos to speed up reviewer decisions.
Fraud Prevention & Compliance Integrity
Detects fraudulent certificates, tampered proctored images, and false evidence before they cause risk.
Ensures only authentic, verified records are accepted, protecting compliance and reputation.
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Time & Cost Savings
Removes repetitive manual checks, saving hours of administrative effort.
Cuts operational costs tied to compliance reviews, record-keeping, and workforce onboarding.
Reduced Risk Exposure
Minimises errors from human oversight.
Protects against costly safety breaches, worker claims, and regulatory penalties.
