We find that using 7.ai™ Agent Assist, a feature of 7 Digital Assist™, our AI-enabled agent assist platform, dramatically improves the agent response rate for any third-party AI assistance platform, including Google CCAI, as well as for both products in combination.
AI agent assistance technologies improve contextual “next best response” recommendations, which is proven by live agents in real-world interactions to save time, reduce AHT, and increase containment. 7 Digital Assist employs proprietary training data and ranking models to present our agents with the top three responses.
But how does 7 Digital Assist stack up with other agent assistance products such as Google Contact Center AI (Google CCAI)?
Before I dive into the analysis, I’ll just note that it is not a binary choice on our 7.ai Engagement Cloud™ platform: You can use 7 Digital Assist alongside other similar technologies.
Here we analyze the following:
As noted, with Agent Assist, the system gives agents a choice of responses.
When analyzed separately, agents choose Google CCAI responses at a rate of .34 percent “recall”—meaning agents select one of the top three responses as the best response about one third of the time.
With Agent Assist, by contrast, agents choose one of the top three responses more than half the time (.56).
And with combined Agent Assist and Google CCAI output, run through our proprietary ranking model, agents choose these response recommendations over 50 percent of the time as well, slightly less than with Agent Assist alone.
This is a good benchmark of our system—and these results demonstrate that 7 Digital Assist is flexible enough to work in combination with other tools and provide value on top of them. This is truly a unique capability that enables the most flexibility for our clients.
Check out these additional AI-enabled agent assist resources: