Eval directory
Evals for Zendesk
11 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Zendesk AI products.
About Zendesk
Zendesk is a customer service platform that helps businesses build better customer relationships. Its AI-powered products handle billions of support interactions across email, chat, voice, and messaging, giving agents the context they need to resolve issues faster.
Available eval packs for Zendesk
11 packs ready to run.
Admin Workflow Safety V1
Zendesk admin workflow eval focused on automation reliability, trigger safety, and configuration clarity.
Agent Daily Work V1
Zendesk support agent daily workflow eval focused on reply quality, queue noise, and resolution safety.
Ingest Painpoint Eval V1
Source-traceable ingest painpoint eval for Zendesk.
Expert Safety Gate Eval V2 High Conf
Task CompletionHigh-confidence expert safety gate eval for Zendesk.
Incident Escalation Quality V1
CorrectnessTask CompletionWave 2 production eval for Zendesk focused on incident escalation quality.
Lead Incident Command V1
Task CompletionZendesk support lead eval focused on high-volume queue command, escalation discipline, and response stability.
Manager Quality Coaching V1
CorrectnessZendesk support manager eval focused on quality oversight, reporting clarity, and coaching outcomes.
Power User Ops Eval V2 High Conf
High-confidence power-user operations eval for Zendesk.
Support Resolution Safety V1
ToneTask CompletionOperational response/safety eval for Zendesk covering support resolution safety.
Workflow Painpoint Eval V2 High Conf
Task CompletionHigh-confidence workflow painpoint eval for Zendesk.
Ingest Painpoint Eval V2
Zendesk ingest eval pack, persona-balanced and source-traceable per test row.
Why eval Zendesk AI
Zendesk's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.
The Corsac eval library for Zendesk measures four dimensions teams care about most when deploying customer support agents:
- Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
- Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
- Safety gates — does it escalate or refuse when it should, and only then?
- Operator quality — does it preserve analyst trust by surfacing the right context at the right time?
Every eval pack above is hand-authored against Zendesk's public product surface and runnable in Corsac with your own data.