The long road to enterprise AI

THERE IS IMMENSE VALUE TO BE CAPTURED BY INDIAN IT SERVICES FIRMS IN 2026 AND BEYOND

- SIDDHARTH PAI Technology consultant and venture capitalist By invitation

IN THE RUSH to embrace generative artificial intelligence (GenAI), enterprises around the globe have found themselves staring into a mirror-not of their future, but of their technical debt.

Demos and proof-ofconcepts built on large language models (LLMs) may have wowed boardrooms, but the transition from a generative pretrained transformer (GPT)-powered chatbot to a true enterprise-grade AI agent is less of a sprint and more of a meticulously staged relay race. For Indian IT firms, long accustomed to riding successive waves of technological transformation, the enterprise AI rollout is both a challenge and an enormous growth opportunity.

Despite the headlines, most enterprise AI use cases remain in experimental or pilot phases. An LLM-based chatbot or an automated meeting note summariser may demonstrate some early utility, but these systems are far from productionready. The obstacles are not flashy but deeply structural. Integrating AI with legacy IT systems, ensuring data governance, managing hallucination risks, complying with regulatory frameworks, and maintaining explainability all stand in the way of simple deployment. These hurdles turns the AI rollout into a drawnout, services-heavy journey.

This is where Indian IT firms find their niche-not as model creators, but as enablers who bridge the gap between powerful AI models and usable enterprise applications. The major AI players, from hyperscalers like AWS and Microsoft to model builders like OpenAI and Anthropic, may have developed the core technology. Making it work inside a large bank, pharmaceutical company, or logistics giant involves a different kind of expertise. That last-mile integration and operationalisation is where the real value lies.