In the world of software development, a new approach is emerging. Instead of simply adding AI functionalities to existing solutions, developers focus on building the solution around the AI itself. This approach creates a user experience that is fundamentally driven by AI, known as an AI-driven experience (AI/X).
This concept is already finding its way into SaaS business solutions. Platforms with chat interfaces, popularized by ChatGPT, can connect to large language models (LLMs) to provide user interaction.
While this chat interface is easy to implement, it can be limited by the user’s creativity and understanding of AI when formulating prompts. Additionally, it might only address a specific part of the application’s functionality.
Where and why should AI influence the user experience?
AI can analyze user data to personalize the interface, content, and suggested actions. This creates a more tailored and efficient experience. Imagine an AI automatically highlighting relevant information, suggesting next steps, and auto-completing tasks based on your past actions.
More personal, more productive
AI-driven interfaces can be tailored to each user, improving the speed of accessing key information, interacting with the app, and completing tasks. This can significantly boost user productivity.
Simple to complex
It’s possible to rethink the solution by starting with an overly simplified interface for new users, which gradually increases in complexity as they become more comfortable with the platform. This makes adoption easier for everyone.
Automate automatically
AI can automate repetitive or time-consuming tasks based on the user’s actions, allowing them to free time for the employee and more easily reflect the company’s approach to problem-solving by creating a guideline followed by automation.
The Importance of User Control
Overall, AI/X has the potential to revolutionize user experiences by making them more personalized, efficient, and accessible. However, it’s crucial to ensure users maintain control over their experience. This helps avoid frustration, promotes user adoption, and remains essential for successful implementation.