A custom AI agent is not a generic assistant with a company name slapped on it. It is configured to understand a specific operating environment: the business model, customers, software stack, handoff rules, service language, internal processes, and desired outcomes.
For SMBs, custom agents make sense when the workflow is important, repeated often, and unique enough that generic software cannot handle it well. Examples include lead qualification, local service intake, proposal preparation, customer onboarding, renewal follow-up, and internal reporting.