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Scope map
India · Assam
Cost of AI Automation
development in Assam.
I know you want to build ai automation.
There are 10 lakh+ agencies, 5 crore+ vibe coders, and 1 crore+ developers out there right now. You found this page anyway. That's not an accident, we're still the best of all of them at what we do.
We're Sachin and Arjav. We started this studio together, and we still personally work on every project that comes in. When you reach out, it's one of us who replies, not a support team. And we'll say it straight: bring us your toughest deadline or the idea three other agencies said no to, that's exactly where we do our best work. We're Indian founders too, so don't stress about the budget upfront, tell us what you've got on a call and we'll figure out what fits.
MVP₹30,000–80,000
Mid-Complexity₹1.5–4 lakh
Enterprise₹8–20 lakh+
Forget the price tag for a second.
Tell me your actual budget, not what you think you're supposed to say, and I'll tell you honestly what we can build in it. No stretch quote, no upsell.
There is no single price for an AI Automation in Assam. There are three. A lean MVP, built to test one core idea, usually costs ₹30,000–80,000. A fuller version, with the polish and features real users expect, costs closer to ₹1.5–4 lakh. A build made for scale, compliance, or heavy integrations moves into ₹8–20 lakh+. None of these is more "correct" than the others. They just answer different questions. Before you ask anyone for a quote, decide honestly which one you actually need first.
Local Market Context
Before you lock in a budget, it helps to know what makes the market in Assam different from a global average. Assam's Guwahati functions as the trade, logistics, and administrative gateway for all of Northeast India, which shapes demand toward regional trade and government-adjacent platforms. That one fact affects hiring, vendor choice, and even how you price your own product. A good studio should be asking about this in your very first conversation, not treating it as an afterthought. Founders who skip this step often end up over budgeting out of caution, or under budgeting because they assumed rules from another market apply here too.
What Actually Drives The Price
Most cost surprises during ai automation development trace back to one thing: the first estimate was built around screen count instead of how many systems the automation reads from and writes to, and whether it needs RAG grounding over your own data And that is what actually eats up engineering time. Picture a dashboard showing the same few charts, whether the data comes from one clean source or four messy old systems that do not talk to each other well. It looks like one simple screen either way. But the work behind it is nowhere close to the same. A good studio will ask sharp questions about how many systems the automation reads from and writes to, and whether it needs RAG grounding over your own data before they even open a design tool, because that is the real driver of cost.
How We Scope And Build It
Projects that stay on budget usually share one thing: they start with real scoping, not just a quote. A founder workshop early on, where you map out user flows and priorities together instead of guessing from a brief, sets a strong foundation. Every sprint should end with something you can actually click through, not a status update summarizing what happened. Seeing working software every week means you catch a wrong turn in week two, not week twelve. This takes more discipline than working off a fixed spec, but it keeps the build aligned with what you actually need.
How MojoStudios Delivers
From brief to live product.
A five-phase delivery system that ensures your product ships fast, right, and built to scale.
Realistic Timeline
Timeline estimates for ai automation usually fall into three bands: 6 to 10 weeks for an MVP, 3 to 5 months for a fuller build, and 6-plus months once enterprise requirements come in. What pushes a project from one band to the next is rarely the core features. It is the dependencies around them. Integrations with outside systems add real uncertainty, since you are waiting on someone else's system to behave as promised. Compliance requirements add review cycles that sit outside your development team's control. And building for two platforms from day one roughly doubles the testing work, not just adds to it.
Working With A Remote Team
Working with an India-based team while you are in Assam raises an obvious question: how do you stay in sync across a time gap without everything slowing down? The real answer is structure, not being in the same room. Weekly demos give you a fixed, predictable check-in to see real progress and steer it if needed. Written notes on decisions and changes mean nothing important lives only in someone's memory. And handoffs at the end of each working day mean work keeps moving while you sleep. Done well, this setup is often more disciplined than teams sitting in the same office.
The Risk Of Going Cheap
There is a pattern worth knowing before you pick the cheapest quote for ai automation. The savings almost always come from somewhere specific, even if nobody says so. Usually it is QA that gets thinned out first, real testing swapped for a quick check before shipping. Post-launch support goes next, often cut to a short window that does not cover the small fixes every real launch needs. And the experience level of the team doing the work tends to drop too. None of this shows up as a clear line item in a proposal. It shows up months later, as slow fixes and recurring bugs.
At some point, the ranges on this page stop being useful and a real conversation becomes the answer. That is what we are here for. Not to sell you something you do not need, but to look at what you are actually building and tell you honestly what it would take. Free, no pressure, no obligation. Worst case, you walk away knowing more than you did five minutes ago. That is a pretty good worst case.
AI-Powered
Apps That Think Faster
At MojoStudios,
We embed AI natively, not as a feature, but as the foundation your product is built on.
AI is not a feature we add at the end, it's the foundation we build from. Every MojoStudios product is designed to be intelligent, adaptive, and faster than what your competitors can ship.
THIS MEANS
- Smarter apps that learn from users
- Reduced manual workflows by 80%+
- Competitive moat that grows over time
Common Questions
An MVP typically costs ₹30,000–80,000, a mid-complexity build runs ₹1.5–4 lakh, and an enterprise-grade version costs ₹8–20 lakh+. Exact pricing depends on scope, we scope it for free before any commitment.
AI Automation Cost in Other Markets
Other Costs in Assam
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