AI is changing the way we interact with technology. But while the mere mention of AI may excite investors, the success of new AI products and features is far from guaranteed.

As with many new technologies, some companies will try to slap AI on like a bandaid, but those implementations will fail to making a lasting impression with users. Success will depend on integrating AI technology into the user’s workflow and actually helping to solve their problems.

Luckily, the key to seamlessly integrating new AI features into a product lies in something we know pretty well: good UX principles.

In this 4-part series, we’ll share twelve UX tips and examples rooted in usability heuristics, to help you implement new AI products and features more effectively.

Part 1–The Warm Introduction: Seamlessly Introducing AI Features in Your UI

AI is a game-changer, but only if users can find it and understand it. The way you introduce AI features can be crucial to their success. This first article will guide product leaders through the ideal positioning, timing, and disclosure practices to make sure the users understand and trust the new AI features.

Part 2–The Human Side of AI: Control and Choice

Users want control, especially when it comes to new tech. After all, AI is not about replacing humans, but enhancing their capabilities. This article will discuss how providing users control and choice in AI interactions can lead to a more effective and satisfying user experience. You’ll find practical tips and examples showcasing how companies can balance AI features with user autonomy.

Part 3–Supercharging User Efficiency with AI

AI isn't just flashy tech—it can make our lives easier, but only if we integrate it into our products well! This article shares tips and examples of how product leaders can use AI to improve efficiency and the quality of users' work.

Part 4–Trust and Adaptation in the AI User Experience

In order to benefit from AI features, users must trust them. Product leaders must consider how the UI can offer both transparency and control. This article delivers tips and examples for how we can help build user trust, respecting users’ differing needs and concerns.

The takeaway

AI features should not just be tacked on; they must be thoughtfully designed. Although AI technology is new, the principles behind good user experience are well known. Product teams can deliver seamless, efficient, and enjoyable user experiences that also capitalize on the advanced capabilities of AI.

We will uncover many new guidelines as we integrate this AI technology deeper into our daily lives. By paying close attention to these guidelines, we can implement AI in ways that not only make sense to users but also make their lives easier and their work better.