AI-assisted scorecards.
A grading workflow for humans and AI alike. Rubrics, sampling, score calibration, review: with AI pre-grades that accelerate the human judgment, not replace it.
Awaiting human approval · 3 edits pending
- Human-finalized
- AI pre-graded
- Not everything, the right things
- Sampled
- Inter-rater agreement tracked
- Calibrated
AI drafts the scorecard. A human approves, edits, or overturns.
Risk-weighted sampling across agents, channels, and AI.
Rubrics that stay consistent across graders.
Grading that scales without outsourcing your judgment.
Agent grading is how a support org stays honest. AI pre-grading makes it affordable. Human approval keeps it real.
- AI proposes, human disposesFast drafts, human judgment, full audit trail.
- Rubric versioningRubrics evolve. Grades stay comparable.
- Coaching loopScores route to a coaching surface, not a PDF.
Awaiting human approval · 3 edits pending
Grade smarter, coach sooner.
- 01
Sample with intent
Risk-weighted across agents, channels, AI, not random.
- 02
AI drafts the score
A human approves, edits, or overturns, all audited.
- 03
Feed the coach
Weakness becomes a training target, in-app.
Everything you need, thought through.
A focused feature set with sharp defaults, not a sprawling menu to navigate.
Custom rubrics
Tone, accuracy, escalation, resolution, yours to define.
AI pre-grading
AI scores first. A human approves, edits, or overrides.
Human calibration
Inter-rater agreement tracked. Drift flagged.
Risk-weighted sampling
Grade more of the important tickets, less of the routine.
Longitudinal trends
Per-agent, per-AI, per-skill: over weeks, months, quarters.
Linked to training
Scores feed coaching plans. Close the loop, systematically.
We went from grading ten tickets a week for optics, to grading a hundred a week for impact. AI made that affordable.