How to automate SAP CPI failed-message monitoring and export CSV reports to SharePoint on a schedule

Automation & No-Code

This guide outlines a no-code, scheduled approach to detecting failed CPI messages and exporting a CSV report on a regular cadence. Goal: Detect failures and produce a CSV export on a regular cadence. Approach: Use a no-code workflow with scheduled triggers and basic validation.

Who is this for?

- IT operations and automation teams seeking no-code solutions.
- Business analysts needing regular failure reports.
- Data teams requiring auditable CSV outputs.
- Project managers looking for predictable, schedule-driven reporting.

Before you start

- Access to your automation platform with scheduling capability.
- A defined CSV schema for the failure export.
- Basic permissions to a storage location for reports.

General Process (How it works)

  1. Define objective Clarify the lifecycle: detect failed CPI messages and generate a CSV export when a failure occurs; this frames the automation's goal and success criteria.
  2. Map data sources Identify where failure data resides and how it will be consumed by the export process; ensure data fields align with the CSV schema.
  3. Create schedule Set a regular cadence for checks that matches reporting needs; avoid excessive polling that increases costs.
  4. Configure monitoring rules Define conditions for a failure signal and the trigger to run the export; include basic validation for data integrity.
  5. Implement CSV export Set up the data transformation to a CSV format; ensure encoding, headers, and delimiter meet downstream requirements.
  6. Store and verify Save the CSV to a central store and perform a quick check for completeness and accuracy.
  7. Review and iterate Regularly review results, adjust thresholds, and refine the workflow to reduce errors over time.

Watch out in Free Plans

❌ Non-persistent data: Some free plans do not retain long-term logs; ensure you save essential data externally.
❌ Hidden costs for retries: Excessive retries due to errors can incur charges or throttling in some platforms.
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