Issue No. 1 | August 26, 2025
AI in India Inc
From hype to measurable impact
Welcome to our latest insights on how Indian enterprises are transforming AI investments into measurable business outcomes. This month, we dive deep into the shift from broad AI promises to specific, quantifiable results.

AI-generated image
The landscape has changed. Q1 FY26 earnings calls reveal that India Inc leaders are no longer making vague statements about AI transformation. Instead, they are citing specific metrics, revenue targets, and operational improvements that highlight AI’s tangible impact.
A Thurro Answers analysis of recent earnings disclosures highlights three key trends that are reshaping enterprise AI adoption in India.
Vertical specialisation takes center stage
Healthcare
Sagility India showcases AI-powered denial validation, appeal generation, and automated extraction of payer-provider agreements. AI is streamlining complex operational tasks like medical coding and claims analysis while improving patient outcomes.
Financial services
Poonawalla Fincorp targets 5-10% gains in processing volumes through AI-driven credit decisioning. Bajaj Finserv deployed an AI-enabled cattle pre-inspection app using live image capture.
Utilities and energy
TCS implemented AI/ML models for utility infrastructure monitoring and developed AI assistants to optimize plant energy consumption. Use cases include automated vegetation inspection to prevent outages and advanced energy audits.
Technology services
Tracxn Technologies achieved remarkable scalability, using AI for company profiling to expand data coverage 5x while reducing headcount by 10%.
Quantifying AI impact with hard numbers
The era of vague ‘AI will transform our business’ statements is over. Management teams are providing specific metrics that demonstrate tangible business value. Technology and services companies are achieving the largest gains, particularly in development processes and operational workflows.
Productivity gains
Hinduja Global Solutions – +25% productivity | +40% training efficiency | –30%
cost reduction.
Info Edge – 15–20% improvement in key metrics across business verticals.
Faster development cycles
One Mobikwik Systems– 30% faster software development cycles through AI-assisted coding and automaton of repetitive tasks.
Operational efficiency increase
Ceat – 18% cycle time reduction | 31% efficiency gain. Piramal Pharma – unplanned downtime cut by 50%. Zensar Technologies– 65% less manual effort in retail workflows.
Process automation benefits
TCS – insurance quotes cut from 30 minutes to 5 (–83% time reduction), improving customer experience and operational capacity.
AI agents gain traction
AI agents are autonomous systems designed to perform end-to-end tasks with minimal human input. Unlike simple chatbots, these sophisticated agents drive large-scale automation and productivity gains across business functions. They are moving from experimental to mission-critical.
Production-scale deployments
Infosys has built over 300 AI agents, boosting developer productivity by 25%. L&T Tech has deployed 175 AI agents across more than 70 programs, with a focus on intelligent robotics.
Customer service excellence
Le Travenues (ixigo) reports 60% of voice queries and 88% of chat inquiries are resolved autonomously, freeing human staff for complex issues requiring empathy and creative problem-solving.
Domain-specific solutions
Persistent Systems built targeted agents including an underwriter agent for financial services and a SciMitra agent for healthcare research, demonstrating AI’s capability for complex, knowledge-intensive tasks.Infosys uses AI agents to improve refinery production while managing dynamic pricing in their retail stores, and automate contract management.
Platform-based enterprise strategy
HCL Technologies is a leading example of a company using a platform-based approach to AI deployment. Its AI Force platform has been used in over 70 deployments for 35 clients, enabling hyper-automation for tasks like proactive issue resolution and ‘zero-touch operations.’
Key takeaways
Vertical specialisation is driving success – AI targeting industry-specific challenges outperforms generic tools
Clear KPIs are essential – Measurement frameworks demonstrate productivity gains and ROI
AI agents are mission-critical – Moving from experimental to handling entire business processes autonomously
Final note: The companies reporting AI gains are not necessarily more technically advanced. They are more rigorous in execution. Most deployments happened in the last 12–18 months. The competitive window is still open… but closing fast.
This report was built on Thurro Answers. We invite you to explore the research Notebook and data yourself to ask new questions and uncover fresh insights about how Indian companies are using AI.
Follow us on
© 2025 Thurro. All rights reserved.
About us | Disclaimer | Privacy Policy
Nungambakkam, Chennai | BKC, Mumbai
All content provided by Thurro is for informational and educational purposes only and is not meant to represent trade or investment recommendations.