AI Agent SaaS Products - Enterprise

A chatbot answers questions in a conversation. An AI agent takes actions: it calls tools, reads your data, runs multi-step workflows and decides what to do next based on the result. In practice that means function calling, memory, guardrails and evaluation sets so it behaves predictably. If your product needs to do work rather than just talk, you need an agent, and that is what my AI agent SaaS packages are built around.

A focused single-agent product with sign-in, Stripe billing and usage metering takes 2-3 weeks. A multi-tenant SaaS with RAG over customer data, agent workflows, team workspaces and LLM observability takes 5-8 weeks. Enterprise multi-agent platforms run 10-16 weeks. The first week is always prompt and tool design with an evaluation set, because getting the agent's behaviour right early saves rework later.

I'm a freelance AI product developer from Rajshahi, Bangladesh, working under the name Mursalin's Desk. I build AI agent SaaS products, AI-powered mobile apps with React Native and Expo, MVPs for startups, AI integrations for existing products, and full-stack web platforms on Next.js, NestJS and PostgreSQL. I also take on AI strategy and fractional CTO engagements for founders who need senior technical leadership without a full-time hire.

I'm based in Rajshahi, Bangladesh, and also work from Dhaka. Most of my clients are remote — startups and small companies in the US, UK, Canada, Australia and the EU. I can meet in person in Rajshahi or Dhaka when that helps, but every project I run is set up to work fully remotely from day one: shared repo, project board, async updates and scheduled calls.