How to scale agentic applications without creating AI sprawl
Scaling autonomous agentic applications without creating AI sprawl requires shared infrastructure for context, tooling, governance, and observability instead of rebuilding capabilities for every agent. Establishing centralized choice, governed enterprise context, and rigorous control ensures teams can adopt new models while enforcing scoped permissions, consistent policies, and operational tracing.
* As agentic applications become more autonomous, enterprises need shared infrastructure for context, model, and tool access; governance; evaluation; and observability, rather than rebuilding these capabilities for every agent. * Choice lets teams adopt the right models, tools, and frameworks as the ecosystem changes, while context grounds agents in governed enterprise data and business meaning. * Control becomes more important as agents take actions, requiring scoped permissions, consistent policies, tracing, evaluation, and operational visibility across applications.