An industry-wide shift to greater use of conversational AI, often in the form of chatbots and voice assistants, is clearly underway. However, the success of these interactions depends on the quality of conversation design, a new domain for most developers and one that may hinge on subpar or outdated tooling. This is the challenge San Mateo, CA-based Yellow.ai seeks to address with its conversational AI platform.
Yellow.ai suggests that problems in this burgeoning area often reside in the design process itself. Though design is a crucial step in developing conversational AI, the process is often hindered by the use of flowchart-based tools that result in clunky and complicated designs. This not only slows development, it creates a disjointed experience for users, who encounter inconsistent design choices and interactions across different conversational interfaces.
One of the key pain points in conversation design is in the basic approach. Most designers are relying on flowchart-based tools that are not optimized for designing conversations. This makes the design process time-consuming and cumbersome, leading to subpar outcomes. As well, replicating design flows in development is a tedious and inefficient process.
With the launch of its Dynamic Conversation Designer, Yellow.AI looks to improve the design process for chat and voice conversational workflows using generative AI. Integrated within the Yellow.ai conversational AI platform, this conversation design tool allows teams to design chatbot conversations without writing any code, saving significant development time and effort.
The Dynamic Conversation Designer creates development flows automatically from design flows, eliminating the need for developers to start from scratch. Moreover, there is instant auto-sync between design and development flows. With this, the company claims to deliver a 50% faster time to market, along with reduced development and training time.
