Generative AI (GenAI) is at a crossroads in India’s enterprise landscape: momentum is clearly building, yet widespread, scaled adoption is still patchy.
Recent findings show that corporate India has moved beyond curiosity and into active deployment, but gaps in budget, skills, and governance are holding back full-throttle transformation.
Where Generative AI is Picking Up Speed
From pilots to production
A 2025 EY–CII study reveals that nearly half (47%) of Indian enterprises already have multiple GenAI use cases live in production, while 23% are in pilot phase, indicating a shift from experimentation to performance-driven case.
Use cases span customer-facing chatbots, document-processing, code-assistance, and content-generation in BFSI, manufacturing, retail, and IT services.
Indian business leaders expect GenAI to have a significant impact on their operations. Many see GenAI as a lever for productivity, cost-efficiency, and faster time-to-market, particularly in document-heavy, low-cognitive-load workflows.
Indian IT services as AI-enablers
Reports from Nuvama and EY-linked analyses highlight that the Indian IT services sector is positioning itself as the go-to partner for enterprise GenAI roll-outs, both on-shore and offshore. Enterprises are using IT services firms for PoCs, integration with legacy systems, and “AI-first” greenfield projects, while brownfield changes remain cautious and phased.
Where Uptake Is Still Lagging
Conservative AI spend
Despite confidence, Indian enterprises allocate less percentage of their IT budgets to AI. This indicates that belief in GenAI outpaces funding, so roll-outs remain localized rather than company-wide, limiting systemic impact.
Skills, data-readiness and compliance gaps
Many firms still struggle with data readiness, model assurance, and responsible-AI practices, even as they rush deployment for speed.
In regulated sectors such as banking, telecom, and public-sector enterprises, leaders are excited about GenAI’s potential but cautious about privacy, auditability and regulations.
According to S&P Global findings: Generative AI has rapidly proliferated, surpassing even last year’s ambitious forecasts. As of late 2024, 60% of organizations that are investing in AI have implemented generative AI, outpacing longer-standing AI categories such as rules- based (54%) and pattern-recognition (51%) models.
- The accelerated uptake of generative AI is driving a significant uptick in project failure rates. The proportion of companies abandoning most of their AI initiatives before they reach production has risen from 17% to 42%, with the average organization scrapping 46% of their proof-of-concept projects prior to production.
- Generative AI is delivering value, but its impact is uneven. While 46% of companies report no single enterprise objective has produced a “strong positive impact” from generative AI initiatives, 19% report strong positive impact across most objectives.
- Significant obstacles to successful generative AI investments include cost, privacy concerns and trust issues. Budget limitations and confidence in accuracy are leading issues, with 29% of organizations identifying these as significant challenges.
Staqo: Turning Gen AI Ambitions into Scalable Business Outcomes
As enterprises move from GenAI experimentation to scaled adoption, Staqo Generative AI Services help organizations bridge gaps around deployment, integration, and governance.
From AI-powered automation and intelligent copilots to custom LLM applications, Staqo enables enterprises to accelerate productivity, improve customer experiences, and modernize workflows while ensuring scalability, responsible AI practices, and seamless integration with existing business systems.