How to Scale Agentic Applications Without Creating AI Sprawl
Databricks, Wednesday, September 30th, 2026
Databricks argues enterprises need shared infrastructure for context, models, tools, governance and observability as agents multiply.
Databricks says building an agent is getting easier, but operating many agents across an enterprise is a different problem, since agents that move from answering questions to taking actions depend on models, enterprise data, business semantics, tools and applications.
Rather than rebuilding capabilities for each agent, enterprises need shared infrastructure for context, model and tool access, governance, evaluation and observability.
The post frames this around choice, context and control, including scoped permissions, consistent policies and tracing.