Semai.
AI support platform that gave SMBs 24/7 coverage without the brittle chatbot tooling.
Semai was built for businesses that needed to answer customers faster, qualify leads better, and stop relying on staff to manually repeat the same support work all day. The goal was not a novelty chatbot — it was a support layer that operates on real business knowledge and fits into day-to-day commercial workflows.
I designed and shipped an AI support platform with three core layers: a knowledge-grounded assistant trained on company documentation and FAQs, a delivery surface for customer conversations and lead capture, and an operational layer for maintaining content, reviewing responses, and improving the system over time.
The stack centred on FastAPI, OpenAI, vector search, and a lightweight frontend for configuration and oversight. Response coverage extended to web, WhatsApp-style flows, and internal help surfaces.
Summary
Semai is an AI support platform for businesses that need faster customer replies without losing human control.
What The Client Needed
Support teams were spending too much time answering repeated questions. The business needed speed, accuracy, and a safe handoff to humans for important cases.
What I Built
- A customer chat experience for support and sales questions.
- A knowledge base for approved business content.
- Admin tools for reviewing content and conversations.
- Human handoff paths for questions the AI should not answer alone.
Workflow
Result
Customers received faster answers, the team reduced repeated work, and humans stayed involved for sensitive conversations.
What This Shows
This project shows how I build AI systems around real operations, not just demos.