AI Support Automation

Semai.

AI support platform that gave SMBs 24/7 coverage without the brittle chatbot tooling.

01_Role
Lead Engineer
02_Category
AI Support Automation
03_Year
2026
04_Status
Shipped

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.

05_Architectural Overview4 pillars
01KNOWLEDGE_LAYER

Retrieval grounded in company documentation and FAQs, with evaluation tooling to catch regressions before customers do.

02DELIVERY_SURFACE

Support and sales conversations across web and WhatsApp-style flows, with lead-capture handoffs into the CRM.

03OPERATOR_TOOLING

Review queues, content maintenance, and escalation paths so the support team stays in control of edge cases.

04PRODUCTION_STACK

FastAPI + OpenAI + vector search, deployed with observability and evaluation baked in — not a weekend demo.