Category

Human Resources

Built by

Beam.ai

AI Agent Integrations

SmartRecruiters

AI Agent Integrations

SmartRecruiters

SmartRecruiters is a people or recruiting platform used by enterprise recruiting teams to manage candidate, requisition, application, and interview records. Beam agents can read those records, apply an approved rule, create or update the next record, and route exceptions for review. Start with an event such as a requisition or candidate status changes, then confirm account permissions and connector availability before moving it into production

What the SmartRecruiters integration does

SmartRecruiters is a people or recruiting platform used by enterprise recruiting teams to manage candidate, requisition, application, and interview records. In Beam, it becomes a controlled action point: agents can retrieve the context they need, make an approved update, and hand unusual cases to a person. The exact objects and permissions depend on the connector configuration, so use the capability evidence in the migration record when defining a workflow.

How Beam agents use SmartRecruiters

A workflow starts with an event such as a requisition or candidate status changes. The agent checks candidate, requisition, application, and interview records in SmartRecruiters, applies the workflow rule, performs the permitted update, and records the result. If the data is incomplete or the requested action falls outside the connector's permissions, the agent routes the case for review instead of guessing.

Example workflows

  • When a requisition or candidate status changes, a Beam agent reads candidate, requisition, application, and interview records in SmartRecruiters, updates the next record, and routes exceptions to the responsible owner.

  • When a workflow request arrives, a Beam agent retrieves candidate, requisition, application, and interview records from SmartRecruiters, applies the agreed rule, and records the outcome for enterprise recruiting teams.

  • After a status, approval, or delivery event changes, a Beam agent checks candidate, requisition, application, and interview records in SmartRecruiters, sends the next notification, and leaves an auditable handoff.

Operational value

  • Fewer manual handoffs between SmartRecruiters and the systems around it.

  • A clearer audit trail for candidate, requisition, application, and interview records and exception handling.

  • More consistent movement from a requisition or candidate status changes to the next owner or system.

Before you build

Confirm the supported candidate, requisition, application, and interview records, authentication scopes, and availability for your Beam workspace. Keep exception handling explicit: the agent should pause and route a case when required data or permissions are missing.

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Start building AI agents to automate processes

Join our platform and start building AI agents for various types of automations.