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Loop Over Items (Split in Batches)

Category: Infrastructure · Official connector

Process agent workloads in controlled batches with X Mind Solutions

X Mind Solutions uses Loop Over Items (Split in Batches) to organize AI agent workloads into manageable batches and route processed results to downstream steps.

X Mind Solutions connects this integration to your automation and AI agent flows. We handle setup, authorization and field mapping.

Overview

Loop Over Items (Split in Batches) is an official n8n core node that passes items through a workflow in configurable batches. It is not a standalone external service. Businesses use it to repeat processing steps across customer records, documents, or operational datasets, organizing larger workloads into smaller groups within a defined execution flow.

X Mind Solutions incorporates this node into automations where AI agents read records, assess their content, and act through connected systems. Each batch can pass through classification, summarization, or update steps. We configure loop continuation and completion paths around the business process, adding approval steps, delays, and error handling where the workflow requires them.

Authorization is handled through the connections to source and destination systems rather than through this node itself. X Mind Solutions defines field mappings, limits the data passed to agents, and configures execution monitoring for batch progress and failures. Access follows task requirements, while retry handling includes appropriate safeguards against repeating actions that have already completed.

How it works

  1. 1We authorize your account securely.
  2. 2We build the trigger and action steps you need.
  3. 3We map data fields to your existing systems.
  4. 4We test, go live and monitor the flow.

What you gain

  • Removes manual data entry.
  • Cuts delay and errors between systems.
  • Lets your AI agents use this service.

AI use cases

  • A sales agent reviews customer batches and creates follow-up tasks in the connected CRM.
  • A support agent classifies queued tickets in batches and routes them to appropriate teams.
  • A document agent summarizes files in batches and flags uncertain fields for human review.
  • A catalog agent checks product batches and drafts missing descriptions for approval.
  • A finance agent compares invoice batches and opens review tasks for detected discrepancies.

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