India's enterprise AI story has a gap problem.
Kolkata: Nearly half of Indian enterprises, 47%, now have multiple Generative AI use cases live in production, and 10% are scaling them across business functions. The ambition is real. The urgency is genuine. A striking 91% of Indian enterprise leaders cite speed of deployment as the single biggest factor in their AI buy-versus-build decisions. Yet beneath the momentum, a structural fault line persists: most enterprises are racing to deploy AI without the foundational data architecture, enterprise integration depth, or domain-specific training required to make it deliver measurable business outcomes.
The result is a graveyard of well-intentioned pilots. Only 29% of organisations report being able to fully scale up to 30% of their AI proofs of concept. Generative AI is everywhere. Enterprise-grade AI, the kind that connects to core systems, processes real transactions, and delivers accountable outcomes, is rare.
That gap is precisely where Indus Net Technologies (INT.) has been building.
From Full-Stack to AI-First
Founded in Kolkata in 1997 by Abhishek Rungta, INT has spent 28 years building one of India's most quietly formidable enterprise technology portfolios, 1,100+ professionals, 500+ clients, and operations across 45 countries. The company has always been full-stack: Customer Experience, Digital Engineering, Cloud & DevOps, and Cybersecurity (through the acquisition of Prime Infoserv in 2024) under a single delivery roof.
In 2026, that full-stack depth is what separates INT.'s AI practice from the field.
Most Indian AI vendors are point solutions, a GenAI chatbot here, a predictive analytics layer there. INT. enters engagements with the entire enterprise data and integration stack already in view. Its AI & Analytics practice spans Generative AI, Agentic AI, Computer Vision AI, Advanced Analytics, Data Lake architecture, and Business Intelligence — delivered as an integrated capability, not a catalogue of disconnected services.
The company's flagship product, VYOM AI, is INT.'s answer to the question Indian enterprises keep asking: where is the enterprise-grade Agentic AI platform built for Indian data environments, Indian regulatory requirements, and Indian deployment realities?
The Agentic Shift Indian Enterprises Cannot Afford to Miss
The timing is significant. Gartner predicts that 40% of enterprise applications will embed task-specific AI agents by the end of 2026, up from less than 5% in 2025. This is not an incremental upgrade to existing workflows. Agentic AI, systems that plan, reason, and execute multi-step tasks autonomously, represents a fundamental change in how enterprise operations are designed. In a BFSI context, an agentic AI system can autonomously detect fraud anomalies, cross-reference customer history, approve micro-loans under threshold, and update compliance logs, all in minutes, with human oversight only for edge cases.
While 24% of Indian enterprise leaders are already deploying Agentic AI, the majority are still navigating the transition from tools to autonomous teammates. Nearly 60% of organisations cite integration with legacy systems and managing risk and compliance as their top barriers to enterprise-wide agentic AI adoption.
These are precisely the barriers that INT.'s integrated delivery model is architected to remove. With domain-specific AI deployments across BFSI clients, including IndusInd Bank, SBI General Insurance, DCB Bank, and Bajaj Allianz Life Insurance, alongside Life Sciences work for Cipla and global retail delivery for Tesco, INT. brings sector-specific context to AI deployment that no generic AI platform vendor can replicate.
Outcomes, Not Outputs
INT.'s AI philosophy mirrors its broader delivery model: technology is not the deliverable, business outcomes are. A website redesign for DCB Bank delivered a 70% improvement in mobile usability and a 40% reduction in bounce rate. A multilingual offline-ready portal for SBI General Insurance resulted in 62% fewer support requests and a 3x increase in claim tracker adoption. These are not AI success stories told in benchmarks. They are business results measured by the client's own KPIs.
As India's enterprise AI investment accelerates, IDC forecasts AI spend in India growing at a 33.7% CAGR, with AI's total economic contribution to India projected at up to $1 trillion by 2035. The question for enterprise leaders is no longer whether to invest in AI. It is who can actually deliver it at production scale, with domain depth, across the full enterprise stack.
INT. has been answering that question for 28 years. The AI chapter is the next one.
INT (Indus Net Technologies) is a full-stack digital transformation company headquartered in Kolkata, India. With 1,100+ professionals, 500+ enterprise clients across 45 countries. INT. delivers AI, Cloud, Cybersecurity, and Digital Engineering solutions for enterprises in BFSI, Life Sciences, and Retail. Learn more at intglobal.com.