How long does it take to build an AI solution?

Timelines depend on scope, the amount of content or data, integrations, feedback, and testing. AI projects are planned in releases, with a roadmap that lets you use priority features first. The timeline is shared step by step and also depends on how quickly materials, access, and approvals come from the client. For AI systems we define authorized sources, behavior when information is missing, allowed actions, and cases where a person needs to step in. Cloud, dedicated infrastructure, or local setups are chosen after assessing data sensitivity, latency, load, costs, and maintenance, without presenting one single architecture as best for everyone.