The self-improving AI system reliably executed actions in support workflows 91% of the time, improving both consistency and operational efficiency. It also helped maintain high support quality, with 84% of responses rated as good.
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Client’s Challenge
A leading SASE platform needed a unified AI agent solution that could accelerate onboarding, improve knowledge retrieval, and autonomously perform actions across multiple disconnected systems, and ensure support responses were consistently generated in a standardized format without hallucinations.
Our Solution
We built a Self-Improving AI system with a controllable level of autonomy – ranging from full human-in-the-loop oversight to fully automated operation (Claude and Agentic Skills + LangGraph for orchestration + AWS Bedrock Claude models). The solution fuses all existing knowledge sources and support systems into a consistent set of atomic skills, each designed to return outputs in a standardized format. The entire platform was securely deployed in a cloud environment within a tunneled VPC.
Client’s Benefits
The self-improving AI system reliably executed actions in support workflows 91% of the time, improving both consistency and operational efficiency. It also helped maintain high support quality, with 84% of responses rated as good. As a result, new engineers became productive faster, while the system created a strong, scalable foundation for continued growth with AI-assisted support.
