Problem

TechSphere Solutions, a B2B SaaS provider offering endpoint management software to enterprise clients, faced significant customer support challenges. Their technical support team was overwhelmed with 2,500+ monthly tickets, resulting in:

  • Average response times of 36+ hours, far exceeding their 8-hour SLA
  • 63% customer dissatisfaction rate due to delayed resolutions
  • 41% annual churn rate among enterprise clients citing poor support
  • Escalating support costs as the team expanded to handle ticket volume

The complexity of endpoint management issues required extensive documentation review, making each ticket resolution time-consuming even for experienced support agents.

Solution

TechSphere implemented a Retrieval Augmented Generation (RAG) system specifically designed for their support infrastructure. The implementation included:

1. Document chunking of their extensive technical documentation, troubleshooting guides, and historical support tickets into manageable segments

2. Embedding generation for each chunk using specialized vector representations

3. Creation of a vector store to index all document chunks with relevant metadata

4. Implementation of a retrieval system that identified the most relevant documentation based on customer queries

5. Integration with an LLM that used the retrieved context to generate accurate, comprehensive solutions

The system analyzed incoming support tickets, retrieved relevant documentation chunks, and provided detailed resolution steps to both support agents and customers through a self-service portal.

Other Works

work

Empower banking operations with agentic AI that autonomously integrates siloed data, streamlines decision-making, and delivers tailored customer experiences. Achieve faster risk assessments, improved customer loyalty, and operational cost savings while boosting cross-selling opportunities and enhancing financial intelligence.

work

Optimize employee onboarding with a custom LLM and RAG-powered knowledge base. Deliver personalized training pathways, reduce time-to-productivity by 62%, improve knowledge retention, and free HR teams from repetitive tasks while enhancing employee satisfaction.

work

Revolutionize education with customized LLMs and RAG-powered adaptive learning pathways. Deliver tailored experiences that improve student engagement by 38%, enhance knowledge retention, reduce dropout rates, and free instructors to focus on high-value interactions.

work

Transform SaaS support with RAG-based AI, enabling instant ticket resolution and reducing response times by 87%. Automate complex query handling, enhance customer satisfaction, and cut operational costs through intelligent document retrieval and dynamic troubleshooting.

work

Maximize sales efficiency with agentic AI that automates lead qualification, personalizes outreach, optimizes pricing strategies, and monitors market trends. Achieve faster sales cycles, higher conversion rates, and increased deal profitability through intelligent automation.

work

Streamline legal workflows with agentic AI that autonomously reviews contracts, flags risks, and ensures compliance. Reduce review time by 83%, improve accuracy, save millions in attorney time allocation, and accelerate case progression for better client outcomes.