customer_support · workflow
Assembled dogfoods Cal AI assistant to accelerate support onboarding and agent productivity
Support agents and rotation participants lacked a fast way to find answers and draft responses; new hires faced ramp times of six or seven months before independently handling tickets; non-support staff on rotation were entirely unfamiliar with where to start on technical questions.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Ticket arrives in Zendesk
A support ticket arrives and the agent opens it directly in Zendesk.
Tools used
CalZendesk · partnerSlack · partner
Outcome
A new support engineer answered all tickets by the second or third month—described as 2–3× faster onboarding compared to a previous six-or-seven-month ramp. Rotation participants felt more informed and self-sufficient. Agents work so much faster and better overall, and documentation gaps were identified and fixed as a side effect of Cal usage.
Results
Time savedsecond or third month
Volume2–3× faster
Grounding & classification
Source type: platform led case
30 fields verified against source quotes.
agent assistcontent generationknowledge searchragknowledge basesupport tickethuman review describedmetric backednamed customerproduction runtime claimedsource backedtools describedworkflow describedsoftwarecycle time reductionemployee productivitytime savedplatform led casecustomer supporthr onboardingai draft human approvalrag answering