From idea to launch, here’s what the timeline looks like.
Depending on scope and complexity, projects can take 3 months to over a year.
Discovery & requirements: 1–3 weeks
Define goals, use cases, feasibility, and success metrics.
Data preparation: 2–8 weeks
Gather, clean, organize, and label the data your AI needs.
Model development: 4–12 weeks
Select the model, train it, test results, and optimize performance.
Development & integration: 2–10 weeks
Build APIs, connect business systems, and create the user interface.
Testing: 2–4 weeks
Deployment: 1–2 weeks
Validate performance, security, usability, and production readiness.
Messy data. Changing scope. Skill gaps. Integration roadblocks.
Planning for these early can prevent costly delays.
Use pre-trained models, prepare data early, and start with one high-impact problem.
Partner with WeblineIndia to plan, build, test, and deploy your AI project with a clear roadmap.