This guide explains how to think about batch runs from a business operations perspective: preparation, execution, and post-run review for outbound AI campaigns.
How to Run Batch Calling Automation with VoxxAgent
Batch calling sends many outbound attempts in a controlled run. Your agent stays managed by VoxxAgent; your job is to prepare inputs and review outputs responsibly.
What this guide is for
When batch calling is the right choice
- You have a large set of similar outreach tasks (reminders, recalls, campaigns) where a consistent agent experience is appropriate.
- You have already validated message and offer language through smaller tests or live monitoring.
How to prepare contact lists and targets
Use only data you are permitted to call. De-duplicate numbers where your process requires it, and tag segments (for example, priority vs standard) if your workspace supports it.
Keep a small control sample you can spot-check manually after the run.
Step-by-step: running a batch
- Select the Active agent approved for this program.
- Upload or connect your list per your workspace pattern.
- Review the batch summary: size, estimated window, and agent selection.
- Start the batch and avoid duplicate overlapping runs for the same population unless your process explicitly allows it.
What to review after execution
Export or view results summaries: completed, no-answer, busy, failed, and any transfer outcomes. Compare against your control sample. If a segment underperforms, note examples for your VoxxAgent contact rather than changing technical settings yourself.
Common mistakes
- Starting large batches before a small proof run.
- Not aligning on quiet hours or regional rules internally.
- Ignoring a sudden spike in failed or zero-duration calls.
Want help with a live workflow?
Our team maintains your deployed agents. For usage questions, first batch launches, or inbound performance reviews, open a ticket or reach the solutions team—we partner with you on operations after go-live.
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