A step‑by‑step guide to navigate export restrictions and select the right AI partner for your business this year.

India’s AI market is at a crossroads as U.S. export bans close the door on popular models like Claude, while Chinese options flood the scene. Choosing the right AI provider now determines data compliance, cost, and competitive edge. This guide shows you how to evaluate options, test them, and make an informed procurement decision in 2026.
Start by reviewing India's IT Act, Foreign Direct Investment rules, and the new AI Export Control guidelines. Use the Ministry of Electronics and Information Technology (MeitY) portal and consult with a legal advisor. Compliance is the foundation for any AI deployment.
Map out the data types your business handles and the AI tasks you need—chat, analytics, vision. Tools like DataRobot's Data Catalog or Talend can help document. Use cases guide which model fits best.
OpenAI’s GPT‑4 (via Azure OpenAI Service) remains available to Indian customers. Use the Azure portal, set up a free trial, and run sample prompts. Performance metrics from OpenAI’s published benchmarks will help compare.
Baidu’s ERNIE, Alibaba’s Tongyi Qianwen, and Tencent’s Hunyuan are growing options. Sign up for their cloud AI labs, test API calls, and compare latency. Latency is critical for real‑time applications.
Create a weighted decision matrix using tools like Google Sheets or Airtable. Factor cost, compliance, performance, and support. Once chosen, negotiate a license, sign the NDA, and set up a monitoring plan. Negotiation ensures you lock in favorable terms.
Don’t overlook the importance of ongoing model updates; set up a schedule to review new releases and patch versions from both U.S. and Chinese vendors.
You now know how to navigate export bans, evaluate models, and secure the right AI partner for your business. By following these steps, you’ll protect compliance, reduce costs, and stay ahead of competitors. Next, start compiling your data inventory and reach out to vendors.