Unique Blend of AI and HI
7.ai blends artificial intelligence with human intelligence to dramatically improve customer experience. Humans and AI-powered virtual agents work together to reduce average handle time and boost efficiency, while consumers can self-serve and effortlessly escalate to a human agent when needed. This empowers companies to handle high volumes of interactions more efficiently, to contain costs and improve customer satisfaction.
Two Decades of Experience
7.ai was founded in 2000 with the mission of connecting consumers to companies to get things done. With two decades of improving customer experience for the world’s leading businesses, we have unparalleled expertise in customer journeys across all channels.
With clients in every major industry, we have day zero models that deliver value from day one. Based on hundreds of industry-specific intents and more than 70 consumer journeys across multiple verticals. Additionally, day zero models can extend other AI technology such as IBM Watson.
7.ai holds more than 150 patents and patent applications, including several specifically related to artificial intelligence and customer experience. We uniquely understand communications between consumers and businesses, and use Customer Journey Analytics to gain unparalleled insights into intents and journeys.
Our “cost-per-interaction” model provides better customer service in a more cost-effective way. Unlike per-hour billing models for agent services, where there is little or no incentive for the service provider to make productivity improvements, we offer a cost-per-interaction model that incentivizes efficiencies and delivers superior outcomes.
7.ai uses the same business logic and natural language processing technology across both voice and digital channels. This saves time and money by empowering our clients to “write once and deploy anywhere.” It also provides a better, more consistent experience for consumers no matter how they choose to engage with you.
Because 7.ai solutions integrate with all major enterprise systems, companies can leverage their technology investments and use the customer data they already have. Artificial intelligence, machine learning and predictive analytics empower companies to use their big data to provide a personalized, predictive and effortless customer experience