Organizations are racing to deploy AI across their operations. Generative AI for customer service. Machine learning for fraud detection. Predictive analytics for demand forecasting. The use cases are compelling, the potential ROI is massive, and executive pressure to move fast is intense.  Yet industry data shows that 85% of AI projects fail to move from pilot to production. The most common cause is not the algorithms—it is the data.  The AI Data Quality Crisis  AI systems ar

Every enterprise has thick binders or SharePoint folders full of process documentation. Flowcharts showing how orders are processed, how approvals flow, how data moves through systems. There is just one problem: almost none of it reflects what actually happens.  Reality Check: Research shows that 70% of documented business processes diverge significantly from actual practice within six months of documentation.  The Documentation Illusion  Let us walk through a common scenario

The regulatory environment for enterprise technology has undergone a seismic shift. With the EU's Digital Operational Resilience Act (DORA) now in full effect and the AI Act setting new standards for algorithmic accountability, organizations face a perfect storm of compliance requirements that traditional approaches simply cannot handle.  The question is no longer whether your organization needs real-time compliance monitoring—it's whether you can afford to operate without i