Service Assistant

This use case features one of the 18 ready-to-use AI agents that helped us win the “Agent Race to Sapphire 2026.” What does the Service Assistant do? The agent helps service teams resolve customer tickets faster by analyzing historical tickets, suggesting resolution ideas, and continuously refining them until the root cause is identified or human intervention is required.

Learn from past cases – and reach the root cause faster.

The starting point: Resolving customer tickets often requires multiple attempts

Customer ticket resolution is often an iterative process. Before the actual root cause is identified or a sustainable solution is found, multiple approaches may need to be evaluated. Historical tickets contain valuable knowledge and proven resolution patterns, but manually reviewing and applying this information to new cases requires significant effort and slows down ticket handling.

Leveraging knowledge from previous tickets
Historical tickets often contain similar issues and proven solutions. Finding and applying this knowledge effectively can be time-consuming.

Identifying root causes systematically
Complex customer issues are rarely solved with the first attempt. Possible causes must be analyzed, tested, and refined step by step.

Knowing when to involve a human expert
Not every issue can be resolved automatically. Service teams need a clear escalation point when expert intervention becomes necessary.

What does our solution look like? Intelligent ticket resolution powered by historical knowledge

The Service Assistant uses historical tickets as a knowledge base to generate relevant resolution ideas for new customer issues. Suggested approaches are continuously refined based on additional information and user feedback. This iterative process supports systematic root-cause analysis and continues until the issue is resolved or a structured handover to a human expert is required. In three steps, this means:

Wie kann ein erster sicherer Use Case mit GenAI auf der SAP BTP aussehen? Unser GenAI Starter hält die Antwort parat.
  1. Analyze historical tickets
    The agent reviews similar tickets and identifies relevant solution patterns, experiences, and recommendations.
  2. Refine resolution ideas iteratively
    Based on new findings and user feedback, proposed solutions are continuously improved and adapted.
  3. Identify the root cause or escalate
    The agent supports root-cause analysis until the issue is resolved or transfers the case to a human expert when necessary.

The result? Faster issue resolution and better use of service knowledge

The result includes faster generation of resolution ideas, better utilization of historical ticket information, and more structured support during customer ticket handling. At the same time, the solution helps service teams identify root causes more effectively and continuously improve resolution approaches. With clearly defined escalation points, organizations always know when human intervention is required. The Service Assistant combines existing service knowledge with intelligent root-cause analysis to create a more efficient and scalable support process.

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