Reactivating 46,000 candidates from a backlog the team could never reach
An illustrative workflow demonstrating how an outbound voice agent can work a massive applicant backlog, qualifying candidates open to other roles and routing them to human recruiters.
The Challenge
Large organizations often receive 5,000 to 10,000 applications a month, yet their recruiting teams can realistically respond to only a fraction. This creates a brutal candidate experience and leaves a database full of people who actively raised their hand but are now being ignored. Calling them manually never pencils out.
What Was Designed
Adaaapt designs outbound voice agents that step into this exact gap. Because the candidates applied for real jobs, a call from the company isn’t cold—it feels like the follow-up they’ve been expecting. The agent introduces itself, gently acknowledges they weren’t selected for the initial role, and asks if they are open to other positions. If yes, it runs a full qualification flow and writes the structured output directly back to the ATS.
How It Works
The campaign involves mapping historical leads and pacing dials to maintain compliance. The agent is equipped with a callback-on-request loop: if a candidate asks the agent to call back in two hours, the agent schedules it programmatically. This single mechanic prevents the conversation from feeling like a generic robocall.
The Results
In this industry scenario, a single AI deployment can place 95,000 calls to 46,000 candidates in days—a volume that would take a human team years. With a 30% completion rate, the campaign reactivates a massive segment of dormant talent, converting a database of ignored people into a real, qualified pipeline.
Lessons Learned
Pushing callback features on day one is critical. They move completion rates more than any prompt engineering tweaks. Furthermore, tagging emotional cues or conversational hesitation allows teams to refine the human-escalation pathways.