Root Cause Analyzer

What does the Root Cause Analyzer do? This use case features one of the 24 ready-to-use AI agents that helped us win the “Agent Race to Sapphire 2026.” The agent helps integration teams quickly identify the underlying causes of issues in SAP CPI Integration Flows and provides actionable recommendations for resolution.

Understand failures, identify causes, and stabilize integrations faster.

The starting point: Troubleshooting integration issues is complex

Issues in SAP CPI Integration Flows can originate from a variety of sources. Some problems are caused by technical system failures, while others result from configuration mistakes or implementation issues within the integration logic. Identifying the true root cause often requires manual analysis of logs, error messages, and integration artifacts. This process is time-consuming and requires specialized expertise.

Identifying the real cause of an issue
Error messages often reveal only the symptoms of a problem. The underlying cause must be derived from multiple technical signals and data sources.

Distinguishing system and development issues
Efficient troubleshooting depends on understanding whether an issue originates from the system landscape or from the implementation of the integration flow itself.

Deriving effective resolution actions
Once the root cause has been identified, suitable corrective actions need to be determined to resolve the issue sustainably.

What does our solution look like? Intelligent root-cause analysis for CPI Integration Flows

The Root Cause Analyzer reviews CPI Integration Flows and related error information to identify the underlying cause of an issue. The solution differentiates between system-related and developer-related problems and generates targeted recommendations based on the identified cause. This significantly accelerates troubleshooting and issue resolution processes. In three steps, this means:

SAP BTP ermöglicht nachhaltiges und effizientes Vertragsmanagement.
  1. Analyze integration issues
    The agent evaluates integration flow artifacts, logs, and error messages to identify relevant patterns and anomalies.
  2. Classify the root cause
    The solution determines whether the issue is system-related or development-related and categorizes it accordingly.
  3. Provide resolution recommendations
    Based on the identified cause, the agent generates actionable recommendations and potential fixes to support rapid issue resolution.

The result? Faster troubleshooting and more stable integrations

The result includes significantly faster root-cause identification, reduced manual effort in troubleshooting integration issues, and a more structured approach to CPI incident analysis. At the same time, teams gain clear visibility into whether an issue originates from the system landscape or the integration implementation and can take corrective action more quickly. The Root Cause Analyzer combines intelligent diagnostics with practical resolution guidance to help organizations operate more reliable and resilient integration landscapes.

Haben Sie eine ähnliche Challenge?

Wollen Sie sehen, wie die verschiedenen Services bei diesem Use Case zusammenspielen? Oder haben Sie Fragen zu dem Vorgehen? Einfach das Formular ausfüllen und unsere sovanta Experts melden sich bei Ihnen.

Tags
AI / GenAI AI / GenAI Artificial Intelligence Artificial Intelligence Software Development Software Development