By Ankush Sabharwal, Founder CEO, CoRover.ai
AI has rapidly evolved from a futuristic concept into a foundational technology shaping how people live, work and interact. In India, AI is no longer just a technological tool, it is transforming daily life, accelerating business growth and redefining digital engagement. Automation is now embedded across personal and enterprise environments through conversational AI, voice-first systems, telephony AI, chatbots and voicebots. As we enter the era of Agentic AI, where systems can autonomously execute tasks and decisions, the focus must shift toward ethics, trust, transparency and human oversight.
Indian enterprises are rapidly adopting domain-specific LLMs and SLMs to build solutions aligned with local business needs and cultural context. Deloitte reports that over 80% of Indian organizations are exploring autonomous agents, while nearly 50% are experimenting with multi-agent systems to optimize complex operations. Generative AI is now automating core functions from customer support to analytics signaling a shift from AI as an assistant to AI as an active digital workforce. (deloitte.com)
The adoption of AI in India is also Human-centric because it creates AI solutions which people across linguistic, cultural and economic backgrounds can use. EY research shows that 47% of enterprises already operate multiple generative AI use cases because they use AI technology to support their daily business processes which include financial transaction automation and educational program development. (ey.com) Initiatives like BharatGPT exemplify Sovereign AI, combining ethical, context-aware AI with support for local languages and enterprise-specific workflows.
Voice-first and telephony AI are especially transformative in India, where millions rely on voice as their primary digital interface. Embedding conversational AI into everyday services enables inclusive and accessible experiences. While AI agents automate routine workflows, human teams can focus on high-value decision-making and innovation.
Although new technologies are adopted quickly, building trust remains essential. Unsupervised autonomous AI systems will transmit biases and create false outcomes and endanger personal data security. The research from Deloitte shows that Indian businesses demonstrate strong interest in Agentic AI technology yet they face challenges with complete system deployment because of ethical and governance requirements. Organizations must ensure human oversight by establishing strict procedures which guarantee that AI systems will help humans make decisions in a responsible way.
The implementation of Ethical AI serves a dual purpose which includes protecting against risks while establishing essential business requirements. People-first design enables AI systems to prioritize human needs which results in creating equitable systems that operate in a transparent manner while including all users. By using Domain/Enterprise Specific Models (LLMs/SLMs) Like BharatGPT India can create AI systems that use local knowledge to address typical challenges while preserving public confidence. The three types of AI Assistants which include VideoBots, VoiceBots and ChatBots should support human decision-making processes while AI agents conduct their standard work tasks with proper handling of repetitive functions.
India’s AI journey must balance automation with trust. Organizations that prioritize transparency, accountability and sovereign AI will earn long-term public confidence. As AI becomes integral to communication, commerce and governance, ethical frameworks must evolve alongside innovation.