Artificial intelligence is increasingly being adopted across various industries, with generative AI gaining significant attention in 2023. However, causal AI, which identifies the root causes of issues, is essential for making reliable decisions and recommendations, and its importance is growing as organizations recognize the limitations of predictive AI, which only finds correlations. Integrating causal AI into observability systems enhances organizations' understanding of their environments by pinpointing the root causes of operational issues, thus improving problem-solving and system reliability. This approach is becoming vital as regulatory scrutiny and demands for responsible AI increase, with many technology leaders concerned about the potential biases and misinformation in generative AI. Dynatrace exemplifies the benefits of a composite approach, known as hypermodal AI, which combines causal, predictive, and generative AI to deliver precise and trustworthy automation. This approach includes automated root-cause analysis, intelligent alert prioritization, failure prediction, resource optimization, and automated remediation, significantly reducing manual intervention and improving efficiency.