Over many AI projects, the same questions come up again and again in early conversations - and they are good questions. Here are the ones clients ask us most often at Shanti Infosoft, answered as plainly as we can. If you are weighing up an AI project, this is roughly the conversation we would have on a first call.
How long will it take?
It depends on scope, but the useful answer is that we work in small, visible steps rather than one long silence. A proof-of-concept to test an idea is usually about two weeks. A focused first version of a real feature is often a matter of weeks, not months. Big-bang projects that disappear for half a year are exactly what we try to avoid, because they carry the most risk.
How much does it cost?
There is no honest single number, but there is an honest method. We break estimates down to the feature level so you can see where the cost sits and make trade-offs - shipping the core first and moving ambitious extras to a later phase. The biggest cost driver is usually not the AI itself but the surrounding work: integrations, data preparation, and the interface your team will actually use.
Who owns the code and the data?
You do. We build so that what you pay for is yours to keep and run, with or without us. Your data stays your data. We are happy to put this in writing, and we would encourage you to ask any vendor the same question before you sign anything.
Is my data safe?
It should be designed in from the start, not bolted on later. If your project involves personal, financial, or regulated data, tell us early and it shapes how we store and handle everything. We keep access scoped to what the solution actually needs, and we are transparent about where data goes.
How accurate will the AI be?
Honestly, it varies by task - and any vendor who promises perfection is overselling. What we can do is measure it. A proof-of-concept gives you a real accuracy number on your own data before you commit. For most business tasks, the right design is not "fully automated" but "the AI drafts, a person approves," which captures most of the time savings while keeping mistakes in check.
What happens when it gets something wrong?
It will sometimes get things wrong, so we design for that. That means a human-review step where it matters, clear handling when the AI is unsure, and logging so you can see what happened. A good AI system is judged not only by how often it is right, but by how gracefully it handles being wrong.
Do we need a huge dataset to start?
Usually not. Modern AI can do a lot with a modest, representative sample - including your messy, real-world cases. We would rather start with a realistic slice of your actual data than wait for some perfect, complete dataset that never arrives.
What happens after it launches?
Software is never truly finished, and AI features benefit from ongoing tuning as real usage reveals new cases. We are clear up front about what maintenance looks like and what it costs, so support is a planned part of the relationship rather than an afterthought. Models improve over time, your business changes, and the data the agent sees evolves - a small, steady amount of attention after launch is what keeps a good feature good, and we would rather agree that plan with you on day one than surprise you with it later.
Still have a question?
These are the common ones, but yours might be specific to your business - and those are the most useful to talk through. Send us your question and we will give you a straight answer, no obligation.
About Shanti Infosoft
Shanti Infosoft is a CMMI Level 5 AI development company that has delivered 700+ projects across 16+ industries. We help teams move from AI ideas to dependable, production-grade software. Learn more at https://www.shantiinfosoft.com or explore our AI development services (https://www.shantiinfosoft.com/services/ai-development-company/).
Related reading: 10 Questions to Ask an AI Development Company Before You Hire (https://www.shantiinfosoft.com/blog/10-questions-to-ask-an-ai-development-company/) - AI App Development Cost: UK & US 2026 Price Guide (https://www.shantiinfosoft.com/blog/ai-app-development-cost-2026/)
Written by Team Shanti Infosoft, the AI development team at Shanti Infosoft (https://in.linkedin.com/company/shantiinfosoft).
Top comments (0)