Unlocking Real-Time Multi-Agent Customer Routing with Fine-Tuned Nemotron Models and 90% Cloud Cost Reduction

A leading insurance company faced significant challenges in their customer routing system, which was experiencing latency spikes and high cloud costs. To address these issues, they partnered with Acadify Solution to implement a real-time multi-agent customer routing system using fine-tuned Nemotron models.

The Critical Bottleneck

The company's legacy customer routing system was experiencing latency spikes of up to 500ms, resulting in a poor customer experience. Additionally, the system was consuming excessive cloud resources, leading to high costs.

The Engineered Solution

Acadify Solution implemented a real-time multi-agent customer routing system using fine-tuned Nemotron models. The system consisted of the following components:

• Model Routing: A custom-built model routing algorithm that selected the most suitable Nemotron model for each customer request based on real-time data.
• Caching Layers: A caching layer was implemented to store frequently accessed models and reduce latency.
• Cloud Cost Reduction: Efficient model deployment and caching strategies were implemented to reduce cloud costs by 90%.

Production Benchmark Metrics & ROI Table

Metric	Before	After
Latency (ms)	500	30
Throughput (req/sec)	1,000	10,000
Cloud Cost Reduction (%)	0	90
Error Rate (%)	5%	1%

Key Architectural Takeaways for CTOs

The success of this project highlights the importance of efficient model deployment, caching, and cloud cost reduction strategies in real-time systems. CTOs should consider the following key takeaways:

• Implement efficient model deployment and caching strategies to reduce cloud costs.
• Use fine-tuned Nemotron models for real-time decision-making.
• Implement real-time multi-agent customer routing for improved customer experience.