Enterprises are investing in AI for competitive advantage, yet legacy architecture blocks real impact. This guide reveals why AI fails and how to fix it. It provides technology leaders with a clear, actionable blueprint to identify architectural bottlenecks, assess organizational readiness, and prioritize modernization. From data governance and integration strategy to cloud migration and performance tuning, this report is both a warning and a roadmap. Â
Key Highlights:Â
- Understand why 70% of enterprise AI initiatives fail, and how to avoid that fate.Â
- Identify six critical architectural red flags that limit AI scalability and impact.Â
- Learn how legacy monoliths, poor data pipelines, and outdated APIs silently hinder innovation.Â
- Explore actionable modernization strategies across architecture, security, performance, and organizational alignment.Â
- Discover how Enterprise Architecture (EA) can turn fragmented AI efforts into scalable, business-aligned outcomes.Â