Source note · Cisco AI transparency technical notes
The Agent Burnout Detection model learns from a rolling 90 days of data once every 30 days, programmatically and with no human involvement in that cycle.
Checked 2026-09-05
The model uses a rolling 90 days of data once every 30 days for learning. This is done programmatically and has no human involvement.
- Vendor
- Cisco
- Product
- Webex Contact Center
- Subsystem
- AI transparency and model disclosure
- Deployment
- cloud
- Region
- not restricted
- Release range
- current as of 2026-09-05
- Checked
- 2026-09-05
Sources
- Contact Center: Agent Burnout Detection - AI Transparency Technical Note — Cisco Systems, Inc. (Cisco Trust Portal) · tier 2 current vendor documentation · Model Evaluation and Performance
Cite this note
APA
WarmTransfer. (2026, September 5). Cisco AI transparency technical notes: source note wxai-tn-burnout-retrain-90-day-rolling-30-day-cadence. WarmTransfer. https://warmtransfer.net/knowledge/claims/wxai-tn-burnout-retrain-90-day-rolling-30-day-cadence
BibTeX
@misc{warmtransfer-claim-wxai-tn-burnout-retrain-90-day-rolling-30-day-cadence,
title = {Cisco AI transparency technical notes: source note wxai-tn-burnout-retrain-90-day-rolling-30-day-cadence},
author = {{WarmTransfer}},
year = {2026},
url = {https://warmtransfer.net/knowledge/claims/wxai-tn-burnout-retrain-90-day-rolling-30-day-cadence},
note = {Source note wxai-tn-burnout-retrain-90-day-rolling-30-day-cadence, checked 2026-09-05}
}