Just a few years ago, offering a cloud-based solution was innovative enough to stand out in the market. Today, it’s the baseline. The rapid pace of AI development has inevitably changed how users interact with digital products and what they expect from that interaction: Intelligent features instead of static interfaces. Engaging conversations instead of one-way touchpoints. Smart automation instead of manual effort. This has become a real challenge for SaaS founders who strive to deliver more value without overcomplicating their products. The good news is, there are plenty of affordable ways to bring AI into your app. In this article, we’ll discuss the key strategies, processes, challenges, and best practices for AI integration, backed by real-world projects from Seedium’s portfolio. What is AI integration in practice? AI integration means adding AI capabilities to existing systems and workflows to unlock new value for users.…