Learn how Salesforce re-architected apps — rethinking how to express intent, expose actions, and govern shared context — so enterprise software can evolve.

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Enterprise software traditionally relied on deterministic workflows and human judgment to handle exceptions and edge cases. Agentic AI systems require fundamental architectural changes to enterprise applications: decomposing business logic into explicit, governed actions that agents can invoke; providing structured context for reasoning; transforming one-way events into bidirectional conversations across channels; and orchestrating networks of agents, workflows, and human approvals. This shift moves enterprise software from systems of record to systems of action, where adaptive reasoning coexists with deterministic execution through a hybrid model that preserves governance while enabling real-time coordination across domains.

Re-Architecting Enterprise Applications for an Agentic System of Action