production gap
-
Scaling Autonomous Intelligence for Real Growth
Deploying AI and agentic architectures enterprise-wide is challenging, exposing vulnerabilities missed in pilot tests. Key hurdles include integrating with existing identity systems and cloud security, leading to “governance debt.” The “production gap” arises because pilots often mask issues with data, identity, and compliance. Successful organizations build scalable platforms from the start, treating security, evaluation, and financial monitoring as core requirements to avoid costly rework for each new initiative.