A contact center case study about call summarization strategies
Is your call summarization strategy failing you? Learn from a large enterprise contact center’s mistakes.
The latest
Mapping the Agent Journey is more than just a time saver for agents
Analyzing the Agent Journey provides insight that can significantly improve your contact center efficiency. Watch now
Adrian Botta
Data Scientist
Designing AutoCompose
While designing AutoCompose, the ASAPP design team turned down the noise in the agents’ workflow to give them a UI that signals the right suggestions at the right time. Read more
Min Kim
Staff Designer
Not all automation is the same
Where is automation the most impactful? Our AI models specialize in automating even the most difficult parts of customer interactions. Read more
Heather Reed, PhD
Data Scientist, ASAPP
How to start assessing and improving the way your agents use their tools
Empower your leaders to make data-driven, impactful improvements in the call center. JourneyInsight helps you understand customer problems and which tools agents use. Read more
Adrian Botta
Data Scientist
To measure the performance of Conversational AI, we need more strict, better quality benchmarks
For conversational AI to advance, the broader scientific community must be able to work together and explore with easily accessible state-of-the-art baselines for fair performance comparisons. Read more
Suwon Shon, PhD
Senior Speech Scientist at ASAPP
Open the door to automation with JourneyInsight
Learn where you have inefficiencies and get insights powered by a 360 degree view of every workflow in your contact center. Watch now
Ted Burke
Director, Product Management, ASAPP
A contact center case study about call summarization strategies
Is your call summarization strategy failing you? Learn from a large enterprise contact center’s mistakes. Read more
Gonzalo Chebi, PhD
Data Scientist
Why its so challenging to map Agent Journeys
It isn’t easy to get a holistic view of how contact center agents spend their time to inform optimization. ASAPP Chief Scientist, Ryan McDonald explains why. Watch now
Ryan McDonald, PhD
Chief Scientist at ASAPP
How to Understand Different Levels of AI Systems
Understanding the level of an AI system can help predict how the system will change over time – whether it will continuously improve, remain the same, or even degrade. Read more
Michael Griffiths
Data Scientist, ASAPP
Bringing State of the Art Speech Transcription to CX
End-to-end architecture improves the scalability and performance of machine learning models for speech transcription to serve enterprise contact center needs better. Read more
Prashant Sridhar
Engineering Manager