What can an AI agent do in a recruitment workflow?
An AI agent can carry out defined actions when a workflow is triggered: for example, sending a follow-up, coordinating an appointment, creating a reminder or updating a connected record. The available actions depend on the chosen agent, data access and system connections.
Who is this for?
Recruiting and operations teams that can name a specific repeated task and explain what should happen when it succeeds, fails or needs a person.
What the workflow can include
Triggers and actions
Connect an event, such as an application or a missed response, to an agreed next step.
Scheduling and reminders
Coordinate routine messages and appointment-related work within the configured workflow.
Data and tool connections
Move relevant information between connected tools without treating each transfer as a separate manual job.
How to approach setup
Map the task
Write down the trigger, required information and expected result.
Connect the tools
Review access, available integrations and which system should receive the update.
Set the handover
Agree when an exception should go to your team instead of continuing automatically.
Questions to resolve before implementation
- Is the action reversible, and who handles a failed update?
- What data does the agent actually need?
- Who owns the workflow after it goes live?
Your questions, answered
Are AI agents only for candidate screening?
No. The scope can also cover communication, reminders, scheduling and administrative processes. Each agent should have a defined role.
Can an agent use our existing tools?
Connections are considered during scoping. Availability depends on the tools, their interfaces and the selected solution.
How should we choose the first agent?
Choose a frequent, well-understood task with clear inputs, a clear output and an obvious person to handle exceptions.