Contact Center: Webex Workforce Optimization Enhancements - 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-technical-note.pdf

Published

2025-12-01

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

• Auto QM automatically evaluates up to 100 per cent of customer interactions against consistent performance criteria and its note carries no employment decision restriction. inference in context
• The the Webex WFO enhancements technical note contains no restriction on using its output for employment decisions and the word employment does not appear in it. fact in context
• Agents can appeal Auto QM scores. fact in context
• The AWS Bedrock large language model calls in the WFO enhancement pipeline are described as stateless and as not using or storing customer data for model improvement. fact in context
• The Webex WFO enhancement features are built on AWS Bedrock using Anthropic and Amazon Nova models together with Cisco proprietary transformer-based models. fact in context
• The 5 Webex WFO enhancement features support opt-in and opt-out control at the agent group and team levels. fact in context
• 3 capabilities marketed under adjacent Workforce Optimization and Quality Management branding rest on 3 different model stacks: AI Quality Management on Azure OpenAI with BERT the WFO enhancements on AWS Bedrock with Anthropic and Amazon Nova and WFO Agent Assist on Azure OpenAI alone. inference in context
• 6 of the 7 transparency notes read for this topic publish no retention period for the data their features process, deferring to privacy data sheets or offer disclosures or saying nothing. inference in context
• Third-party exposure in Webex contact centre artificial intelligence is a property of the individual feature rather than of the product: across the 9 contact centre notes the corpus holds, features variously use Microsoft alone, Microsoft and Google, Microsoft and Amazon, Amazon with Anthropic, Eleven Labs and Deepgram, or no named third party at all. inference in context
• Cisco states that agents can appeal their automated quality management scores. fact in context
• Cisco states that the Amazon Bedrock language model calls made by Workforce Optimization Enhancements are stateless and do not use or store customer data for model improvement. fact in context
• Cisco states that the proprietary transformer models behind Workforce Optimization Enhancements are trained on curated and vetted datasets, that customer data is not used for those base models, and that Cisco hosts them. fact in context
• The Workforce Optimization Enhancements note names Anthropic and Amazon Nova as vendors and names no model or version for either. inference in context
• Workforce Optimization Enhancements covers 5 sub-features - automated quality management, trending topics, workforce management with trending topics, interaction summary and advanced sentiment - each opt-in and controllable at agent, group and team level. fact in context
• The Workforce Optimization Enhancements note carries no prohibition on using its output for employment decisions, although its automated quality management scores individual agents. inference in context
• The 2 Workforce Optimization notes share a maintenance section that no other note carries, including a statement that Workforce Optimization features are on a continuous delivery schedule with weekly deployments. fact in context
• Webex Workforce Optimization Enhancements runs on Amazon Bedrock using Anthropic and Amazon Nova models together with Cisco's own transformer-based models. fact in context
• The Workforce Optimization Enhancements note is the only transparency note in the corpus to use the word hallucinations, describing inaccurate results as a thing Cisco works to reduce. fact in context

Cite this source record

APA

WarmTransfer. (2025, December 1). Contact Center: Webex Workforce Optimization Enhancements - AI Transparency Technical Note. WarmTransfer. https://warmtransfer.net/knowledge/sources/cisco-trustportal-tn-wxcc-wfo-enhancements

BibTeX

@misc{warmtransfer-cisco-trustportal-tn-wxcc-wfo-enhancements,
  title  = {Contact Center: Webex Workforce Optimization Enhancements - AI Transparency Technical Note},
  author = {{WarmTransfer}},
  year   = {2025},
  url    = {https://warmtransfer.net/knowledge/sources/cisco-trustportal-tn-wxcc-wfo-enhancements},
  note   = {Cisco Systems, Inc. (Cisco Trust Portal), accessed 2026-09-05}
}