Contact Center: Webex Workforce Optimization Agent Assist - AI Transparency Technical Note

Publisher

Cisco Systems, Inc. (Cisco Trust Portal)

URL

https://trustportal.cisco.com/c/dam/r/ctp/docs/transparency/ai-transparency-webex-workforce-optimization-agent-assist-technical-note.pdf

Published

2026-01-01

Updated

unknown

Accessed

2026-09-05

HTTP status

200

License

Cisco proprietary documentation, all rights reserved; no-redistribution; short excerpts and locators only

Claims citing this source

• The Webex WFO Agent Assist technical note contains no restriction on using its output for employment decisions and the word employment does not appear in it. fact in context
• Webex WFO Agent Assist supports 135 languages. fact in context
• Webex WFO Agent Assist is powered entirely by Azure OpenAI models with no additional third-party or proprietary models and performs no fine-tuning on the base models with customisation done through prompt engineering and system configuration. fact in context
• Webex WFO Agent Assist logs events to a tenant-specific database and this logging is opt-in only. fact in context
• Real agent interactions may be used for Agent Assist prompt improvement and quality assessment only with explicit client permission and absent that permission Cisco relies on internally generated synthetic conversation logs. fact in context
• Webex Workforce Optimization Agent Assist is a generative AI self-service assistant embedded in the WFO workforce management module and reached through the MyTime interface. fact in context
• Cisco states that Workforce Optimization Agent Assist supports 135 languages, naming English, Spanish, Swedish and French as examples. fact in context
• Webex Workforce Optimization Agent Assist is powered entirely by Azure OpenAI models hosted on the Azure platform, with no other third-party or proprietary model in use. fact in context
• Cisco states that no additional fine tuning is performed on the base models behind Workforce Optimization Agent Assist and that customisation is achieved through prompt engineering and system configuration. fact in context
• Cisco states that real agent interactions may be used to support prompt improvement and quality assessment only with explicit client permission, as a strictly opt-in process governed by client agreements. fact in context
• Workforce Optimization Agent Assist processes agent scheduling requests submitted through an agent-facing interface rather than customer interactions. inference in context
• The transparency notes do not share 1 governed template: the opening framework paragraph appears in 2 verb variants uncorrelated with date, the closing maintenance section appears in at least 4 variants, and the accuracy caveat appears in 4 distinct wordings across 9 notes. inference in context
• The 2 Workforce Optimization notes' privacy sections name only security and compliance frameworks and do not point at a privacy data sheet or offer disclosure, where the other 5 notes at least name where retention is addressed. inference in context

Cite this source record

APA

WarmTransfer. (2026, January 1). Contact Center: Webex Workforce Optimization Agent Assist - AI Transparency Technical Note. WarmTransfer. https://warmtransfer.net/knowledge/sources/cisco-trustportal-tn-wxcc-wfo-agent-assist

BibTeX

@misc{warmtransfer-cisco-trustportal-tn-wxcc-wfo-agent-assist,
  title  = {Contact Center: Webex Workforce Optimization Agent Assist - AI Transparency Technical Note},
  author = {{WarmTransfer}},
  year   = {2026},
  url    = {https://warmtransfer.net/knowledge/sources/cisco-trustportal-tn-wxcc-wfo-agent-assist},
  note   = {Cisco Systems, Inc. (Cisco Trust Portal), accessed 2026-09-05}
}