For two decades, the price of custom software in India moved in only one direction. Developer salaries rose, project complexity rose, and quotes rose with them. A mid-sized business application that cost ₹3 lakh in 2010 cost ₹10 lakh by 2020, and buyers learned to treat those numbers as physics.

Then the physics changed.

What actually happened to the cost of building

By 2026, AI-assisted engineering is no longer an experiment — it’s the working method of every serious software team. The transformation isn’t that machines write software unsupervised; it’s that the composition of engineering work changed:

• The repetitive middle collapsed. Forms, screens, validations, standard reports, boilerplate integrations — the work that consumed 60% of a traditional project’s hours — is now generated and adapted in a fraction of the time, with engineers directing and reviewing.
• Senior judgment got leverage. One experienced engineer with AI tooling now covers ground that needed a team of four. Crucially, it’s the senior engineers who gained the most leverage — the model rewards judgment, not typing.
• Testing and documentation stopped being afterthoughts — generated alongside the code, kept current, at near-zero marginal cost.

Careful industry studies debate the exact multiplier, and it varies by task. But for the structured, pattern-rich work that dominates business applications — the CRUD screens, workflows and reports that run companies — the productivity gain is severalfold. Nobody serious disputes the direction.

The question buyers should be asking

Here’s the uncomfortable part. If a vendor’s cost of building collapsed, one of two things happened to the savings: they reached you, or they didn’t.

Across much of the Indian market, they didn’t. Quotes in 2026 look remarkably like quotes in 2022 — the same lakhs, the same months — because pricing was never tightly coupled to cost. It was coupled to what the market would bear, and the market’s expectations were trained in the old physics.

So the sharpest question you can ask a vendor this year is: “How has AI changed your delivery process, and where do I see that in this quote?” Vague answers about “leveraging AI for efficiency” with unchanged prices tell you exactly where the savings went.

What passed-through savings look like

We can offer our own numbers as one concrete data point of what the new economics support:

• A five-module operations suite — HRMS, facility, visitor, inventory, workplace — built in 8 days.
• About ₹80,000 one-time for that build (sometimes waived on managed-cloud plans), versus the ₹6–12 lakh a traditional process still quotes.
• Live within a month, then a per-active-user licence covering hosting, updates and SLA support.

None of that is loss-leader pricing. It’s what the arithmetic of base product + AI-accelerated customisation honestly yields, with a margin we’re comfortable with. The old prices weren’t built on today’s costs — and the gap between the two is currently the widest it has ever been.

What doesn’t change

A caution against over-rotation: AI didn’t make judgment cheap. Understanding a factory’s real workflow, designing an approval chain people will actually follow, deciding what not to build — that remains human, senior work, and it’s where your vendor’s quality actually lives. The teams to trust in 2026 are the ones using AI to make experienced engineers faster — not the ones using it to replace experience.

The economics changed. Your quotes should have too. If yours haven’t, let’s talk: [email protected] · +91 95000 93600.