Practical notes from the engineers who build agents, copilots and AI products.
An AI discovery sprint in India costs ₹2,00,000 or $3,250 at Eazyware: fixed for ten working days and credited against the build that follows. Indian clients are invoiced in rupees with GST. The bigger variable is the delivery model you pick and where your data is allowed to sit.
The return on AI proof of concept development is mostly avoided cost. A $6,250 or ₹4 lakh ProofRun that stops a build you would have abandoned saves the $26,500 or more you were about to commit. When it says proceed, the return arrives as scope certainty.
Three weeks, for a proof of concept that ends in a scored decision on one workflow. Eazyware runs ProofRun as fifteen working days from $6,250 or ₹4 lakh. Extra integrations add roughly a week each, and missing evaluation data adds a fortnight before you start.
The hidden costs of AI proof of concept development arrive after the build: inference spend, data extraction, evaluation set construction, your own team's hours, and the productionisation work a pass result creates. A fixed POC fee buys the experiment, not the ledger around it.
Ask an AI proof of concept development vendor five things: what the pass thresholds are, who builds the evaluation set, whose accounts pay for inference, who owns the code and prompts, and what happens on a fail. The answers separate people who have shipped from people who demo.
AI readiness is not about ambition; it is about data you can access, systems you can integrate, a decision the AI will change, a budget for running costs and an owner. These ten questions tell you whether to build now, prepare first, or buy instead.
Buy when the capability is a commodity your competitors also have; build when the accuracy you need depends on data only you hold. An AI proof of concept exists to settle that argument with measurements rather than opinions, on your data, before the licence or the build budget is committed.
In India an engineering-led AI proof of concept is bought as a fixed three-week programme. Eazyware's ProofRun runs from ₹4,00,000 or $6,250 to ₹6,80,000 or $10,500, invoiced in INR with GST for Indian clients, with a ten-day discovery sprint at ₹2,00,000 as the cheaper entry point.
The ROI of AI MVP development is a payback period, not a percentage. Take the fixed build price, add twelve months of running and support cost, then divide by the monthly value the shipped feature creates. Eazyware's AI-accelerated MVP starts at $26,500 or ₹17,60,000.