Case study 03
AI Support Copilot
Built an AI-powered support assistant that helps teams resolve common customer questions faster.
Client
Perlin Software
Industry
SaaS
Platform
AI Product
Services
AI Solutions, Web Application Development
Timeline
14 weeks
01 / Challenge
Growing support volume was increasing pressure on the customer success team. Existing chatbot solutions lacked reliable answers and provided limited visibility into their sources.
02 / Our approach
We built a retrieval-based AI assistant grounded in the company's product documentation and previous support content, with source citations, confidence handling, and human escalation.
03 / UX / UI
The assistant was integrated directly into the existing support experience, giving users clear answers, visible sources, and an easy way to contact a human support agent when needed.
04 / Technology architecture
Python handles document processing and AI workflows, while pgvector stores searchable knowledge embeddings. Next.js powers the support interface and internal tools, with response logging for continuous evaluation.
05 / Development
The product was developed through focused iterations with a curated evaluation dataset, automated regression testing, response monitoring, and controlled model updates before production releases.
Key features
What We Shipped.
Results
Business Impact.
35%+
Support queries automated
-28%
First response time
90%+
Answer relevance
24/7
AI support availability
Technology stack
Client testimonial
“The assistant gave our support team a practical way to handle repetitive questions while keeping human agents in control of complex conversations.”
Next project
Clinical Care CompanionWant Results Like These?
Tell us what you're building. We'll help you choose the right technology, plan the development, and turn your idea into a scalable product.