Autonomous AI Agent for an EdTech Academy

An EdTech academy wanted a production-ready AI agent connected to its LMS, support stack and payment APIs, with analytics and audit logs for ROI tracking.

We built a production-ready autonomous AI agent with OpenAI LLMs, LangChain, RAG vector search and n8n workflows, connected to the academy's LMS, support stack and payment APIs, with analytics and audit logs for ROI tracking.

Outcome (client-reported): higher engagement and fewer support tickets, delivered on time.

How we would build it in 2026

If we built this today, we would use the Claude Agent SDK with Claude Opus 5.5, connect the LMS, support stack and payment APIs through the Model Context Protocol (MCP), and keep n8n for workflows. This is our current stack, not the one this project used. Typical delivery: a 2-6 week pilot, then 6-12 weeks to production.

See how we deliver AI agents and automation.