1 week ago
India’s AI Deployment Opportunity Grows Beyond Building Foundation Models
AI models can already do many impressive things.
But businesses still need help using them in everyday work.
Their computer systems, data and rules are often old or disconnected.
Indian technology companies have spent many years solving these kinds of problems.
They could connect AI to business software and teach it how different industries work.
People may also be needed to supervise AI agents and handle unusual situations.
This could create a large new business opportunity for India.
However, Indian companies will need stronger AI skills, industry knowledge and their own technology to succeed.
India’s IT-services expertise could position it as a global hub for deploying AI in enterprises.
Enterprises are finding it easier to buy AI than integrate it with legacy systems, data and workflows.
A HCLTech-Raconteur study found 90% of 500 decision-makers saw AI transforming workflows, but only 18% reported substantial revenue gains.
Indian technology providers could help select, adapt, govern and manage industry-specific AI systems and agents.
The industry may need to shift from selling workforce hours toward delivering productivity, business outcomes and reusable technology.
- Who
- Indian IT-services companies, global enterprises and AI industry executives cited in the article.
- What
- India could become a major hub for deploying, integrating and managing AI systems for businesses.
- Where
- India and global enterprise technology operations.
- When
- The opportunity is emerging as enterprises move from AI experiments toward scaled deployment; India’s technology industry is projected to reach about $315 billion in FY26.
- Why
- Businesses need help connecting AI models to legacy systems, proprietary data, workflows, policies and governance requirements.
Key facts
- Projected industry size
- India’s technology industry is expected to reach about $315 billion in FY26.
- Study sample
- A HCLTech-Raconteur study surveyed 500 enterprise decision-makers.
- Workflow impact
- 90% of respondents said generative and agentic AI were transforming workflows.
- Reported revenue gains
- Only 18% of respondents reported substantial revenue gains.
- Deployment requirements
- Enterprises need model selection, adaptation, system integration, workflow redesign, security and governance.
- Potential new role
- Managing AI systems could become a dedicated function involving permissions, monitoring, evaluation and exception handling.
- Business-model shift
- Indian IT providers may move from labour arbitrage toward selling productivity, outcomes and reusable technology.
Quotes
Abhinandan Jain
President – CX & global head of marketing, AIONOS
“Models are improving fast. But enterprises still run on legacy systems, fragmented data, policies, permissions, workflows and thousands of exceptions.”
financialexpress.com
“This is the next phase of industrialisation of AI – moving from pilots to scaled deployment.”
financialexpress.com
Sources
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