Insights report: Building the resilient, agile, AI-enabled enterprise

AI is already delivering real value across the enterprise, but moving from experimentation to secure, reliable AI at scale requires the right platform foundations.

As AI systems connect to internal data, infrastructure and business processes, weaknesses in the underlying platform become more significant. Inconsistent governance, manual deployment processes, security gaps and fragmented environments all make AI harder to scale and govern.

AI amplifies the platform it lands on

Our latest Insights Report examines the Azure foundations needed to support production AI, and why resilience, security and platform engineering are becoming increasingly important as adoption grows.

Drawing on industry research and our experience across complex Azure environments, the report covers:

• Why only 15% of organisations have achieved enterprise-scale AI deployment

• The platform and integration challenges slowing AI adoption

• How Infrastructure as Code, automation and policy-driven deployment improve consistency and control

• Why security and governance need to be built into the platform

• The Azure platform priorities technology leaders should consider as AI workloads move into production

If your organisation is investing in AI, the Azure platform underneath it will determine how securely, consistently and reliably those workloads can scale.