For our long-term client Kross, we implemented an innovative AI-powered complaints automation system based on Azure OpenAI Search technology. The solution analyzes customer claims, identifies similar past cases, and recommends service decisions — enabling a direct comparison between traditional, manual handling and AI-driven automated case resolution.
faster claim search
higher classification accuracy
fewer decision appeals
AI-powered complaint automation reduced case analysis time by up to 68%. The system instantly identifies root causes and suggests service decisions based on historical data.
Automate your complaint process and reduce analysis time by up to 68%.
The Azure OpenAI Search model analyzes defect descriptions and finds similar past cases, suggesting optimal solutions. It's a new level of efficiency in complaint handling.
AI powered by Azure OpenAI Search suggests solutions based on data from previous cases.
Thanks to AI, complaint decisions are more predictable and consistent. The system learns from previous resolutions, minimizing human errors and ensuring greater decision reliability.
Gain consistency and precision in complaint decisions with AI models trained on real cases
AI-driven complaint automation doesn’t eliminate the human role - it supports the team by relieving them from repetitive analysis. This allows employees to focus on unusual and complex cases that require human expertise.
Artificial intelligence relieves the team from routine tasks, allowing them to focus on exceptional cases.
The pilot project with Azure OpenAI Search created a solid knowledge base that enables further stages of complaint process automation and integration with other Kross systems.
Azure OpenAI Search - the path to full automation and intelligent complaint management.
