[KongchangAI]
Product

SupportOps-AI

An open-source AI customer support ticket triage workflow project. It employs a multi-step agent orchestration process covering intent recognition, retrieval, and retry. In testing, it exhibited a relatively high rate of premature escalation.

Timeline (last 90 days)

Oct 13

After the actual deployment of open-source AI customer service ticket triage, orchestration-layer overhead made the real cost at least twice that in vendors' promotional demos.

Unverified50%
Oct 13

In an actual test of 100 tickets in a Docker environment, SupportOps-AI had a median of 4500 tokens/ticket, 3.1 API calls/ticket, an inference cost of $0.007/ticket, and a wall-clock time of 7.4 seconds/ticket.

Unverified50%
Oct 13

On a test set of 100 tickets, SupportOps-AI had an escalation error rate of 18%, a hallucination rate of 6%, an infinite-loop rate of 3%, and a complete failure/unresolved rate of 4%.

Unverified50%
Oct 13

Per 1000 tickets, SupportOps-AI's direct cost is about $8, the catastrophic error rate is 4%, remediation cost is $160, and customer goodwill loss is $280; the human direct cost is about $2,450, the catastrophic error rate is 2%, remediation cost is $50, and customer goodwill loss is $40.

Unverified50%

All Facts (4)

Source Articles