Agentforce versus Flow for process automation
Key Takeaway
Start with Flow or Apex when you can define every branch and outcome at design time, and use Agentforce when the work needs reasoning. Even with an agent, put strict rules into deterministic logic.
Flow and Agentforce both automate business processes, but they work in different ways. Flow is point-and-click automation that runs fixed, rule-based steps. Agentforce builds AI agents that reason toward a goal.
How Flow and Agentforce differ
Flow is deterministic. It uses fixed if-then-else logic, so the same input always gives the same predictable, auditable result. The execution path is fully predictable from the record's state. Flow cannot plan steps on its own.
Agentforce is probabilistic. It uses multi-turn reasoning (a Reason-Act-Observe loop) to work out the best path toward a goal.
The two tools also accept different inputs and handle the unexpected differently:
| Flow | Agentforce | |
|---|---|---|
| Inputs | Limited to structured data: CRM fields and related record collections | Can process natural language, voice, and vision |
| Handling the unexpected | Needs predefined paths, so unexpected input leads to failure or static errors | An agent handles unknown states by asking clarifying questions or choosing an alternate skill |