Evaluate and score customer interactions at scale.
Authenticx autoscoring is the only AI-powered, interaction evaluation tool built specifically for healthcare.
Audit interactions using industry-specific criteria and evaluations designed for healthcare.
Autoscoring uses machine learning to sample and score interactions based on specified pre-set and custom criteria.
Audit more agent interactions
Supplement human listening with automation to hit and exceed listening targets for your organization.
Meet quality and compliance requirements and better understand brand perception, without depleting valuable resources.
Save time and protect capacity
Leverage machine learning to free up leaders so they can do what they do best.
Give back capacity so they can focus on optimizing team performance, upholding compliance standards, and improving brand perception.
Confidently evaluate interactions
Automatically evaluate interactions using consistent criteria across a larger volume of conversations.
Gain confidence in the insights coming out of your listening program by scoring a more representative set of customer interactions.
Automating Data Analysis with Autoscoring
Many contact center leaders cite less than 3% of their calls are screened for quality assurance.
Automation flips that percentage from 1% to 100%, enabling true data-driven decisions based on the literal voice of your customers.
Autoscoring uncovers multiple layers of conversational intelligence.
Authenticx Smart Evaluations audit large volumes of customer interactions using machine learning, while Smart Predict lets leaders and analysts dive deeper into specific conversations and topics.
Don’t just report data. Share the whole story.
Machine learning autoscores conversational evaluations to transform how analysts work
Tag and classify transcripts and audio with rule-based classification and healthcare-focused machine learning for comprehensive reporting.
Immersive intelligence built specifically for healthcare.
Authenticx listens, analyzes, and activates customer voices to confidently identify dynamics and disruptions impacting the customer journey.