Five systems. One conductor. Zero manual oversight.
ClassGrade's agentic layer keeps every system running at peak performance — continuously, automatically, and without requiring a dedicated platform team.
Step by step
Continuous monitoring
The agentic layer observes all five ClassGrade systems around the clock — tracking content gaps, grading anomalies, knowledge graph inconsistencies, and platform health signals.
Pattern detection
Detected signals are classified by type and severity. Routine patterns trigger automated responses. Novel patterns are analysed for root cause before any action is taken.
Automated response
The agent dispatches tool calls to fix issues autonomously: regenerating missing activities, recalibrating grading models, rebalancing knowledge graph weights.
Human escalation — only when needed
Situations where the agent has low confidence or where action is irreversible are escalated to a human operator with full context and a recommended action.
See the agentic layer in action
We'll walk through a live platform health dashboard and autonomous response log.
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