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What is OttoQA?

OttoQA is a cutting-edge platform that leverages artificial intelligence to improve quality assurance in call centers by optimizing the QA scoring method. It easily fits into existing QA frameworks and forms, boasting a remarkable 95% accuracy in AI-assisted call evaluations without imposing per-seat charges. In under a minute, OttoQA can evaluate calls of diverse durations, such as those ranging from 10 to 15 minutes, and provides insightful feedback on coaching agents, analyzing sentiment, forecasting customer KPIs, and delivering thorough call summaries. This platform supports multiple languages, including Spanish, Mandarin, and Hindi, catering to varied QA requirements. Its offerings include in-depth question-level assessments which help pinpoint agent strengths and weaknesses, complemented by a unique Redo feature that enables supervisors to convert inadequately managed calls into productive training opportunities. Additionally, OttoQA's pricing structure is based on the volume of calls, allowing for flexible month-to-month contracts that relieve businesses from the pressure of long-term commitments, making it an ideal solution for organizations aiming to elevate their call center effectiveness. This innovative strategy not only cultivates an environment of ongoing development but also empowers agents to maximize their capabilities, ultimately enhancing overall customer satisfaction.

What is Operata?

Operata is an innovative platform tailored for cloud contact centers, utilizing artificial intelligence to improve the observability of customer experiences by continuously collecting and examining real-time data from various interaction facets, such as calls, agent environments, networks, CCaaS, and AI engagements; this all-encompassing method provides teams with a thorough understanding of both customer and agent experiences, allowing them to not only recognize the events that transpired but also uncover the root causes and respond swiftly. Its notable features include a unified CX Insights Graph that correlates different technical, operational, and experiential signals, along with CX Copilot and Agent Copilot—intelligent assistants powered by Tenor AI that support natural language inquiries and deliver immediate recommendations. Furthermore, the platform offers Customer Journey Trace for mapping complete interaction sequences across multiple channels, pre-configured playbooks and dynamic dashboards for obtaining timely insights, performance benchmarking tools for readiness testing and assurance, compatibility with over 50 CX and voice systems, and an MCP Server that incorporates observability data into wider enterprise AI frameworks. By providing such a comprehensive array of tools, Operata significantly empowers organizations to refine their customer service strategies and elevate overall satisfaction levels. Ultimately, this multifaceted solution not only streamlines operations but also fosters a deeper connection between customers and agents.

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Integrations Supported

Integrations Supported

8x8
Bland AI
Boost.ai
Cartesia Sonic
Cresta
Daily
Generative Studio X by OneReach.ai
Invoca
Kore.ai
NLX
NiCE CXone Mpower
Observe.AI
Qualtrics XM Platform
Retell AI
RingCentral RingCX
Salesforce
Telnyx
Vonage Business
Yellow.ai
Zoom

API Availability

API Availability

Has API

Pricing Information

$805.60/month

Pricing Information

$0.0060 per agent minutes

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

OttoQA

Date Founded

2024

Company Location

United States

Company Website

www.ottoqa.com

Company Facts

Organization Name

Operata

Date Founded

2017

Company Location

United States

Company Website

operata.com

Categories and Features

Categories and Features

AI Call Center

Not specified

AI Copilots

Not specified

Customer Experience

Not specified

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