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Operata Launches AI-powered CX Observability Copilots Fueled by a Trillion Contact Center Data Points

Operata Launches AI-powered CX Observability Copilots Fueled by a Trillion Contact Center Data Points

Contact Centers and their IT teams can uncover new insights hidden in their technical, operations, and experience data and take recommended actions to improve performance.

Operata, the Experience Observability company, announced at AWS re:Invent 2023, general availability of the Harmony release of its Operata Platform. The release introduces Tenor AI*, a new suite of CX Observability tools for users to gain insights from and take actions on correlated technical, operations, and experience data spanning their cloud contact center environment. Tenor AI is fueled by Operata’s fast-growing trove of data, built on more than 270 million customer interactions, 650 million agent minutes, and 1 trillion data points.

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“In our ‘Harmony’ release we’re introducing Tenor AI as a ubiquitous layer of intelligence that opens up conversational data exploration, serves insights directly into the user’s workflow, and points them to areas that need attention the most.”

Tenor AI includes:

  • AI Featured Insights highlight areas of improvement to make the most gains to your key CX metrics.
  • Real-time intelligent guidance to improve technology and operational performance for every Agent with an enhanced AX Copilot.
  • A natural language CX Copilot to interact with CX Observability data and surface unique data correlations.

Operata provides the world’s only CX Observability platform built exclusively for cloud contact centers. Operata surfaces insights and delivers guidance for improving CX by drawing correlations across historically siloed technical, operations, and experience data. For the first time, contact centers can act on AI-powered Featured Insights and use GPT-style conversational language in Tenor AI to ask questions of harmonized CX Observability data to gain deeper understanding of the relationships between factors impacting Agent Experience (AX) and Customer Experience (CX).

For example, Tenor AI can guide users to correlated insights such as:

“Agents using built-in mics transfer 200% more calls than those using headsets”; “Call transcription accuracy drops 4X when voice quality dips below 3.5 MOS”; or “Mid-call abandonment by customers jumps 3x when calls experience high agent CPU and poor customer sentiment”.

“With the increasing complexity of cloud contact centers and their growing volumes of data, businesses are struggling to separate key signals from all the noise when monitoring their end-to-end customer experience,” said John Mitchem, Operata Co-Founder and CTO. “In our ‘Harmony’ release we’re introducing Tenor AI as a ubiquitous layer of intelligence that opens up conversational data exploration, serves insights directly into the user’s workflow, and points them to areas that need attention the most.”

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The Harmony release means Operata customers now have three ways to gain insight into contact center performance:

  1. Proactive insights and recommendations surfaced by the platform and presented in a new real-time feed, and available via the Operata API to trigger alerts and workflows in integrated systems.
  2. Open-ended natural language interaction fueled by Large Language Models (LLMs) and harmonized Operata data to answer specific, detailed, and complex questions about contact center performance.
  3. Data visualization with trends and summaries in interactive curated Playbooks containing configurable dashboards that facilitate drilling into data spanning technical, operations, and experience domains.

As of today, the Harmony release is Generally Available (GA) and all Operata customers are upgraded. Natural language querying features of Tenor AI are available via a private beta program.

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