CTO of Softengi with 30 years of experience in software development, business applications implementation and digital strategy creation.
Interfaces of complex solutions often need to be more clear due to feature overload and poor information hierarchy. Although substantial resources are spent on UI/UX, designers still strive to incorporate multiple functionalities within a limited screen space. To make app interfaces more responsive, optimize UI/UX costs and expedite the production cycle, a conventional user interface can be replaced by an AI-driven dialogue interface powered by a language-agnostic large language model (LLM).
The Current State Of UI/UX
Today, a traditional approach to UI/UX is marked by considerable investments in usability research and the development of various interface elements to improve the overall user experience and make the user interface intuitive. However, this approach encounters several business problems. First, developing UI elements tends to be time-consuming, leading to extended project timelines. Spending money on UI development may not always translate into a proportional improvement in user satisfaction or engagement.
Second, much time is spent figuring out the logic of user flow (UX), leading to a critical issue of delayed time-to-market, especially in industries where staying ahead of the competition is essential.
Third, updating or adapting existing UI components to meet new standards or accommodate emerging trends becomes a cumbersome process. And it’s here where the AI-driven dialogue interface shows great potential.
How GenAI And Human Adaptation To Сonversational Interfaces Can Transform UI/UX
From a user’s point of view, clicking on dozens of buttons to obtain the desired result isn’t considered comfortable anymore. In turn, human adaptation to conversational interfaces can revolutionize the user experience by offering personalization, automation, adaptability and efficient problem-solving in the form of a dialogue interface. It’s supposed to operate by inputting human language in a way the software understands. This can be achieved by utilizing LLMs that have been emerging on the market continuously.
Imagine a financial company that uses traditional business intelligence software that contains all the data required for performance tracking and analytics. Say one of the specialists noticed an unusual pattern and needed to draw up a non-standard analytical report, which had to be sent to their colleague for review. Normally, this would take up to an hour for a specialist to navigate through a complex system of static interfaces filled with buttons, filters and interactive menus, as well as send an email. With the help of an AI-driven dialogue interface, the process could take minutes.
Examples Of Where AI-Driven Dialogue Interfaces Could Make A Difference
AI-driven dialogue interfaces can benefit companies that operate with large amounts of various types of data, resulting in numerous control elements that command more actions to receive the desired result. Let’s explore some examples of potential dialogue interface implementation across a specific industry and functional and technical areas.
Healthcare
Traditional EHR interfaces are complex, even for medical workers. A typical solution can have comprehensive features, but its interface can be too mixed up to provide crucial medical information quickly. An AI-driven dialogue interface can convert raw data into insightful explanations, offering more targeted issue resolutions through a vector knowledge base. This enables doctors and nurses to interact with healthcare information more effectively and store all health records on the spot by speech-to-text algorithms and computer vision without additional data entry costs.
Finance
ERP systems, due to their comprehensive functionality and extensive customization options, can pose challenges for bank clerks in terms of usability. An AI-driven dialogue interface can give a considerable boost to handling day-to-day banking operations, such as overseeing transactions or managing deposits and withdrawals. The response generated by the dialogue interface can be enriched with additional compliance data for better operation processing.
IoT
Modern IoT devices provide large amounts of data that have to be manipulated in a way to receive answers to non-standardized and unstructured requests. For example, in which hour of the week is there a peak energy consumption? Normally, even with numerous fully configured dashboards, they still won’t cover all the possible scenarios. Moreover, comprehensive dashboards require considerable budgets to implement and support. An AI-driven dialogue interface could expedite the process and help obtain the most relevant response that takes into account every piece of information provided by an IoT device and requires zero support costs.
Business Benefits Of Adopting An AI-Driven Dialogue Interface
• Flexibility: Adopting user interfaces for desktop and mobile devices takes additional time and effort. In the meantime, AI-driven dialogue interfaces operate similarly on all devices and are limited only by the system data and backend logic.
• Increased Employee Efficiency: The AI-driven dialogue interface can automate repetitive tasks, such as data entry and reporting, and reduce manual workload, freeing up resources for more value-added activities. It can facilitate the onboarding of new employees as they won’t have to go through extensive project documentation related to using manifold interface features.
• Time And Cost Savings: Implementing dialogue interfaces can decrease the amount of resources that companies spend on UX research and UI development. Testing timelines can also be optimized, contributing to faster project delivery and reduced costs.
• Language-Agnosticism: A language-agnostic UI benefits a company by enabling global accessibility, reducing localization costs, simplifying maintenance, easing the onboarding of employees and creating a more inclusive product.
Enhancing An App With A Dialogue Interface
• The application’s backend architecture can remain the same or even become simpler.
• The interface is only limited by the amount of data available for processing.
• The dialogue interface’s logic is built in the backend architecture.
• The new AI-driven dialogue interface can offer greater functionality than the one accessible for a user of a conventional user interface.
The Future Of AI-Driven Dialogue Interfaces
The more people use AI models like ChatGPT, the faster they will get accustomed to dialogue interfaces that will most likely replace graphical user interfaces in the foreseeable future. Сlicking buttons and scrolling widgets will become a vestige of the past. With time, dialogue interfaces could start recognizing the human voice for creating voice checklists, for example. From a business perspective, building dialogue interfaces can expedite more sustainable product development, reduce costs and improve overall design efficiency.
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