Scorebuddy Launches GenAI Boosting QA Efficiency

Scorebuddy has released a new Artificial Intelligence solution for QA called GenAI Auto Scoring.

This solution enables users to automatically assess up to 100% of customer interactions significantly faster than manual evaluations. It also offers the potential to reduce costs by 60%, increase coverage, and provide new insights.

GenAI Auto Scoring enables QA teams to customize the evaluation process to their specific needs. This flexibility, along with seamless integration with existing contact centre tools, enhances the scope and depth of the QA process.

Key benefits include:

• Cost reduction
• Full coverage
• Time savings
• Immediate insights

Derek Corcoran, CEO & Founder, Scorebuddy said, “GenAI Auto Scoring marks a significant evolution in quality assurance – in terms of both process and outcomes.

With it, Scorebuddy users will be able to significantly reduce QA costs, scale to 100% coverage, and quickly discover insights that would’ve taken hours to find manually.

Instead of wasting time on run-of-the-mill interactions, evaluators will be able to focus on strategic initiatives and tailored coaching that drives real business impacts.

We’ve put GenAI Auto Scoring through rigorous testing to ensure accuracy and reliability, and I’m thrilled with the results. It’s extremely accurate and highly configurable, putting AI control in the hands of the user – this is the future of quality assurance.”

Traditional QA methods involve significant time to evaluate a small percentage of interactions. GenAI Auto Scoring offers 100% coverage with minimal evaluator input, enabling QA teams to concentrate on analysis, coaching, and strategy.

This blog post has been re-published by kind permission of Scorebuddy – View the Original Article

For more information about Scorebuddy - visit the Scorebuddy Website

About Scorebuddy

Scorebuddy is quality assurance solution for scoring customer service calls, emails and web chat. It is a dedicated, stand-alone staff scoring system based in the cloud, requiring no integration.

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Author: Hannah Swankie