Case Studies
Concrete results in various contexts.
Development of an AI agent capable of handling customer service requests by integrating with existing business systems. Goal: automate request processing while maintaining service quality.
Customer service · Subscription management · Business automation · Artificial intelligence
Challenges
- →Collecting and aggregating customer data scattered across multiple systems
- →Proposing relevant actions with correct parameters (cancellation, subscription modification)
- →Integration with existing AWS architecture
- →Reliability and quality of proposed decisions
Actions
- →AWS serverless architecture (Lambda Node.js)
- →Claude Skills integration for analysis and decision-making
- →Connectors to customer management systems
- →Validation pipeline for proposed actions
Results
- Reduced request processing time
- Actions proposed with contextualized parameters
- Decision quality equivalent to experienced agent
- Conversational evolution in progress
"The AI agent handles requests with remarkable precision. Proposed actions are relevant and parameters always correct."
Operations Management — Client
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