About the client
Client’s challenge
The primary technical and operational hurdles included:
- Persistent downtime and service volatility as a result of inconsistent architecture
- Manual ticket routing and repetitive queries that hindered scalability
- Inefficient resource allocation that didn't scale linearly with user growth
- Cumbersome release process that delayed critical feature delivery and bug fixes
Solution
We transitioned the support ecosystem from a manual, reactive model to a proactive, AI customer service platform. The solution focused on offloading high-frequency tasks to intelligent agents while stabilizing the underlying delivery pipeline.
AI agents with RAG for smarter, scalable support
We implemented AI agents powered by RAG to process incoming requests in real-time. By leveraging the client’s internal knowledge base and historical data, the model provides customers with accurate contextual responses. To ensure service quality, we built an automated escalation logic that hands off complex or sensitive cases to human operators.
Workflow optimization & message queuing
To resolve latency and system friction, we re-engineered the backend workflow. This included automating the routing and escalation logic and redesigning the message queue and response chain. These optimizations make interactions trackable, and the system remains responsive even during peak traffic.
Stability via CI/CD and monitoring
To ensure long-term reliability, we established automated continuous integration (CI) pipelines and comprehensive system monitoring. Every release now undergoes automated testing to guarantee quality and shorten delivery cycles, allowing for 99.9% uptime and dependable performance under heavy loads.
Technologies
Backend
Process
We understood that the challenge wasn't just adding AI but ensuring the system could handle high volumes of data without failure.
1. Workflow alignment & system audit
2. Prototyping & RAG validation
3. Project management routine
1. Workflow alignment & system audit
2. Prototyping & RAG validation
3. Project management routine
Deliverables
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