At Practo, the Chief Product and Technology Officer reveals how AI tools are revolutionizing daily workflows and personal routines, from accelerating software development to customizing diabetic meal plans.
- AI accelerates coding and product testing for tech professionals.
- Personal use of AI includes tailored meal planning for family health.
- Practices reflect broader Indian tech adoption of AI tools.
What happened
Practo’s Chief Product and Technology Officer highlighted the extensive adoption of AI technologies in both his professional and personal routines. He shared that AI tools such as Codex, Gemini, and Claude have significantly sped up coding and software testing processes, transforming traditionally time-consuming tasks into faster and more efficient workflows.
He also described using AI at home for meal planning tailored to his mother’s diabetic dietary constraints. By generating a weekly meal plan, translating it into the local language Kannada, and creating shareable images for communication with the family cook, he demonstrated AI’s practical utility beyond professional applications.
Why it matters
The incorporation of AI into daily work highlights a broader trend in India’s technology sector where AI-powered automation is becoming central to increasing productivity. For developers and product teams, AI tools reduce manual coding efforts and accelerate the development lifecycle, enabling faster innovation and time to market.
On a personal level, the use of AI for health-conscious meal planning reflects how technology is increasingly addressing everyday family needs and wellness. This dual impact reinforces AI's growing role as a versatile assistant that enhances quality of life both professionally and domestically.
What to watch next
Indian technology professionals and startups are likely to further embrace AI for diverse applications, blending work efficiency gains with lifestyle enhancements. Observers should monitor how AI integration evolves across more product domains and personal use cases in the region.
Additionally, innovations in natural language processing and localized AI tools may improve accessibility for users who require regional language support. This will enable wider AI adoption across different Indian demographics and business segments.