Debt Collection: Turn Conversations into Actions That Drive Business Results
At Maximus, we are constantly looking for new ways to innovate and improve the Citizen Journey and contact center experience. With SuccessKPI, we were able to deploy and deliver a 360-degree view of the citizen experience that delivered value within one week. This program allowed us to deliver increased capacity, automated quality review, and agent compliance and performance improvements for government agencies." - Tom Romeo, General Manager of Maximus
SuccessKPI empowers organizations to have a Single Source of Truth, removing the obstacle of having data available that is housed in multiple disparate systems. With this 360-degree view of intuitive actionable reporting and visualizations SuccessKPI makes simple things easy and complex things possible by being vendor agnostic
Enable organizations with user friendly AI and ML that improves the understanding of interactions by exposing themes and performance outliers then automating processes and actions based on desired business outcomes
Technology investment decisions and IT resources are prioritized based on level of effort and time to value, SuccessKPI’s User Interface makes it simple to use and our prebuilt integrations and unique ability to ingest and curate both structured and unstructured data removes the need for long and complex integrations even in the most siloed organizations
In highly regulated environments the need to ensure the right thing happens on every interaction regardless of the channel is more important than ever, SuccessKPI automates Quality Management tasks with Playbooks where you can escalate or evaluate and uses Sentiment Analysis to understand what customers are feeling about their interactions
Features & Functions
Call Center Analytics
Measure and monitor your KPIs across all channels with realtime and historical data: IVR, Virtual Agents, Chat, Chatbots, Social, Email, and Live Agents
Create dashboards and visualizations that show the full spectrum of your customer conversations wherever they occurred
Out of the box analytics tools: Dashboards, Common Call Center Metrics, and Key Questions
Speech & Text Analytics
Realtime transcription and Natural Language Understanding in 25 languages
Detect sentiment, themes, and topics in realtime or historically and
Spot keywords, correlate themes, understand sentiment at the conversation, brand and entity
Redact keywords that you don’t want transcribed or stored – for instance PII such as credit card and social security number
Playbooks
Unlock the power of speech and text analytics, turn conversations into actions that drive business results
Combine these elements to build plays for action in realtime, when specific circumstances occur in your call center: Topics (collections of keywords and phrases), Themes (score-weighted collections of Topics), take Actions (sending an email, SMS, invoke an AWS Lambda function, push data to a REST function, or send an conversation to the Evaluation workspace), Redaction, Custom Phrases, and Sentiment
Use playbooks to achieve key business outcomes: Increase Operational Efficiency, Automate QA, Reduce Agent Churn, Increase Compliance, Reduce Undue Agent Pressure, Ensure Fair Treatment of Vulnerable Customers, Reduce Misconduct and Harassment, and Automate Processing
Transcription
Bring topics, themes and sentiment to the forefront in 25 languages
Precise with a simple user interface allowing customers to teach the AI engine how to comprehend industry, customer and region-specific phrases, topics, keywords, and pronunciations
In addition to speech and text, we extract additional insights like emotion, silence and overtalk
Redaction with a flip of a switch
Mix realtime transcription with topic detection and actions
Quality Management
Evaluate the success of your IVR, Virtual Agent and/or chatbot
Throw out labor intensive manual monitoring
Streamline your QM system by automating QM tasks with playbooks, setting evaluation standards, and reviewing interactions
Empower your workforce for coaching and training
Combine and compare supervisor vs. machine learning scores and correlate feedback with data from the contact center and the speech and text analytics data layer
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