Hiring Automation

The Hiring Automation Agent connects all your other agents, AI Matching (Resume Matching), AI Prescreening, and AI Interview, and automates how candidates move between them. Instead of manually reviewing each evaluation and deciding what to do next, you define rules once and the system handles the rest.

• Activates once your hiring workflow is live
• Monitors evaluation signals from Resume Matching, Prescreening, and Interviews
• Automatically moves candidates between stages based on rules you define
• Reduces manual work and keeps your pipeline moving consistently

When you configure a workflow, SIA will suggest a set of automation rules based on your job role and the agents you've enabled. These suggestions give you a ready-made starting point for how candidates should flow through your pipeline.

a. Single-condition rule examples (one signal triggers an action):

• When AI Matching grade ≥ A → move to Shortlist
• When AI Matching score ≥ 70 → trigger AI Prescreening
• When AI Matching grade ≤ D → move to Disqualified

b. Multi-condition rule examples (two signals must both be met):

• When AI Matching grade ≥ B AND Prescreening grade ≥ B → trigger AI Interview
• When AI Matching score ≥ 80 AND Interview grade ≥ B → move to Shortlist
• When Prescreening grade = F AND AI Matching grade ≤ C → move to Disqualified

You can accept SIA's suggestions as-is, modify them, or build your own rules from scratch.

Every automation rule follows the same structure. Think of it as "if this happens and this is true, do this."

Each rule has four parts:

• Trigger — the event that kicks off the rule (e.g. Resume Matching is completed)
• Condition — the grade or score that must be met (e.g. Matching grade ≥ B)
• Action type — what kind of action to take (e.g. trigger an agent or move stage)
• Action value — the specific outcome to apply (e.g. trigger AI Prescreening)

So in plain terms: when something happens, check if the candidate meets a condition, and if they do, take an action automatically.

You can manage existing rules directly from the workflow without having to rebuild anything. Supported actions:

• Edit — update the trigger, conditions, or actions on an existing rule
• Enable / disable — temporarily turn a rule on or off without deleting it (useful when testing or adjusting your pipeline)
• Delete — remove a rule from the workflow entirely

When all agents are connected through automation, here's what an end-to-end hiring pipeline looks like:

Step 1 — AI Matching (initial filter)

Every candidate who enters the pipeline is evaluated immediately.

• Grade A or B → trigger AI Prescreening
• Grade C, D, or E → stay back in AI Matching stage

Step 2 — AI Prescreening (qualification layer)

Candidates invited to prescreening are evaluated once they complete the chat.

• Grade A or B → trigger AI Interview

Step 3 — AI Interview (final evaluation)

Candidates receive an interview invite and are graded after completing it.

• Grade A or B → move to Shortlisted

Each stage acts as a filter. Only the strongest candidates make it through to the final shortlist — and it all happens automatically, without your team having to step in at every handoff.