What is the typical timeline for an AI platform project?

Timeline honesty is one of the things that differentiates us. We don't give you a timeline before scoping because we don't know yet — and any agency that does is guessing. After scoping, we commit to a realistic timeline with built-in buffer.

Based on completed projects: a focused LLM integration (adding an AI feature to an existing product) takes 3–6 weeks. A RAG system with custom data ingestion, vector database setup, and a front-end interface takes 8–12 weeks. A full AI platform with multiple agents, enterprise integrations, compliance requirements, and production-grade infrastructure takes 12–20 weeks.

The Meghdoot diplomatic RAG agent for MEA was completed in 10 weeks including government source ingestion, access control, and security review. Our AI HR interview agent took 8 weeks including the real-time conversation engine and evaluation report generation. Timeline drivers that add scope: number of data sources for ingestion, number of external API integrations, compliance and audit requirements, and whether you need a custom front-end versus using an existing interface.