Chat UI

Interfaces based on conversational, natural language that allow users to talk to conversational robots in the same way they would with customer care employees. This protocol is cost-effective, time-efficient and could help businesses take customer engagement to the next level.
Technology Life Cycle

Technology Life Cycle


Sales growth slows as the market becomes saturated. The technology is well-established and competition peaks, leading to price drops and marginal improvements.

Technology Readiness Level (TRL)

Technology Readiness Level (TRL)

Fully Operative

Technology is operative and demonstrates considerable market competition among manufacturing industries.

Technology Diffusion

Technology Diffusion

Late Majority

Skeptical and adopts technology only after it has become mainstream and the benefits are well proven.

Chat UI

Popularly known as chatbots, a simplified version of "conversational robots," these chat interfaces use natural language processing so that the program communicates with humans through plain text sentences in regular language, thus adapting accordingly to the conversational paths. Based on artificial intelligence, this software is adaptable and responds according to the user's inputs.

Such applications have become popular over the past years with the incorporation of popular message apps, where brands and institutions can connect with consumers more efficiently. Native services in brands and governments' websites can also apply the same premise of a chatbot to automate consumer services and other processes that once needed a human employee to perform.

Conversational robots could provide an interface that is user-friendlier compared to the current customer services where employees are reactant to human feelings, such as anger, boredom, and sarcasm. Since chatbots could be integrated into any conversational platform, the expectation is to have such interfaces as a primary feature in companies that desire to talk to their consumers or employees more insightfully and efficiently. In the educational and training sectors, this technology enables better communication between mentors and students, employers and employees.

Even though its adoption is mainly as a customer-service tool, chatbots have not yet reached mainstream due to different perceptions of trust. This is impacted by the quality of its interpretation of requests and advice, its human-likeness, self-presentation, and professional appearance, but also by factors concerning the service context, specifically the brand of the chatbot host, and the perceived security and privacy in the chatbot.

Future Perspectives

With the help of specific writers and engineers who could improve the way these artificial intelligence programs work, not only could conversations become sharper, but also machine-learning algorithms could feed these chatbots to grow independently. However, the integration of these features into robots and androids could pose a future where society is populated by robots that converse the same way humans do in real-time, thus giving the Turing Test another layer of complexity.

Image generated by Envisioning using Midjourney

As mobile becomes the preferred way of joining the connected world, will chat and text-based messaging apps be the primary user interface (UI) for intelligent
The development of artificial intelligence and the expansion of instant messaging platforms have highlighted the arrival of chatbots, systems that allow brands to serve millions of customers at the same time.
2016 is the year of everything conversational. Messaging apps are taking over the world and app store rankings with incredible retention…
Texting is easy, familiar, and ubiquitous, so it makes sense that it could become the main channel of communication.
If you’re currently using a standard chatbot, but want to upgrade to an AI-powered one, we’ve put together a list of the best AI chatbots for 2019. Read on to find the right one for you.
Chatbots are making an impact across every industry and operational domain — from optimizing manufacturing operations to inventory and supply chain management. However, their biggest impact has been felt in the segment of customer service, which they have completely transformed.
Chatbots are rapidly spreading beyond the realm of customer support to drive growth at all stages of the customer lifecycle. In fact, sales is now the most common use case (41%), followed closely by support (37%) and marketing (17%).

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