This whitepaper discusses how AI is changing the way platform engineering operates, focusing on the need for better governance and delivery models. It highlights the importance of automation and intelligence in managing infrastructure at scale, offering insights for teams involved in platform management.

Policy as Code revolutionizes platform engineering by automating the enforcement of policies through code, allowing for more consistent and efficient management of infrastructure and compliance. This approach enhances collaboration between teams, reduces human error, and increases the agility of development processes. By integrating policies directly into the software development lifecycle, organizations can achieve better governance and streamline operations.

AI is revolutionizing development speeds, yet infrastructure delivery remains a manual bottleneck. The Intent-to-Infrastructure approach allows platform engineers to shift from traditional methods to intent-driven operations, significantly enhancing infrastructure provisioning efficiency and aligning with accelerated development cycles. Early adopters are experiencing up to 75% faster infrastructure delivery, positioning themselves competitively in the market.

Many teams mislabel themselves as platform engineering teams while merely managing infrastructure, leading to scalability issues. True platform engineering involves creating a product-like Internal Developer Platform (IDP) that enables self-service for developers, shifting responsibilities and fostering a user-centric approach. Without this mindset, teams risk becoming bottlenecks and failing to meet the demands of larger organizations.