AI Use Case Scaling

Bridging the gap between a successful Proof of Concept (PoC) and a fully operational enterprise system is one of the most critical challenges in AI adoption today. Statistics show that nearly 70% of AI initiatives fail to reach the production stage. This drop-off is rarely due to a lack of innovation, but rather systemic blockers: insufficient data quality, rigid governance structures, and architectures that are not ready for production environments. Furthermore, the road to compliance is often perceived as long and arduous, with 69% of organizations expecting full governance implementation to take over a year.