Copyright india
Indias AI ambitions took concrete shape in September 2025 when the government announced Round 2 of the ₹1500-crore AI Mission. Alongside funding domestic AI development the government has been pushing national compute capacity past major milestones signaling that India aims to develop both the tools and the talent to compete at the frontier. However the rapid development of AI-driven technology brings new risks creating demand for updated regulations and frameworks such as the FREE-AI framework recently introduced by the Reserve Bank of India which lays out how banks and fintechs should balance automation with human oversight. This balance — scaling AI while preserving human judgment — is exactly what Ansu Mathai Samuel has mastered at GoDaddy. As a Senior Business Analyst managing a $14M business area hes delivered $2M in incremental revenue through AI-driven insights while ensuring humans remain the final arbiters. His automated systems process 50+ dashboards and achieve 90% faster reporting yet theyre designed with clear triggers for human intervention. Samuels credentials transcend business success. Previously a Senior Business Intelligence Analyst at InfoCepts currently a Senior Business Analyst at GoDaddy he is a Senior IEEE Member recipient of the BrainTech Award (2021) as Best Data Analyst a jury board member for Cases & Faces award (2025) chapter author on adaptable human-machine interaction in a book entitled Smart Cyber-Physical Systems and a recognized thought leader on responsible AI deployment. His framework is able to boost decision accuracy by 20% — but not by replacing humans with AI but only by complementing their strengths. It is impossible to have an effective and safe AI system unless rule-makers who design rules review corner cases and step in where automated programs fall short to present specific solutions are kept. Inasmuch as Indias digital economy is tipped to be $1 trillion by 2030 and giants Tata and Infosys are racing to infuse AI into their practices Samuels lesson is particularly relevant because companies from different industries share a single challenge: how to leverage AI potentialities and have a human watch. With increasing speed of technological advancements it is only natural to aim for speed and fast scaling opines Ansu Mathai Samuel. But a timely reminder came last month when RBI announced a new framework: where decisions have a bearing on livelihood or fiscal health humans should remain a part of the workflow Safe AI deployment starts with idea validation by teams. Instead of being hunch-led launches-based companies should have disciplined routines where teams validate hypothesis with a consideration for context and then make data-driven decisions. For instance he led analytics and A/B testing for a $14M industry vertical of GoDaddy and improved core product conversion by 20% by providing data-based solutions. In this scenario we can see how with the right strategy experimentations can generate useful data which can be a good starting point for growth of an organization. As various solutions for automatizing including AI-based one expand their application today their benefits turn out to be simple: they save teams from boring work by doing routine things. For example data pipelines created by Ansu Mathai Samuel automated processing for more than 50 business-intelligence dashboards so that business departments were able to spare 3–4 hours a day and process reports 90% quicker. But such systems turn out to be productive and profitable only if they leave sufficient time for timely human intervention. There should be specific triggers and signals for such a scheme to detect points where a persons attention is required—and such is the way solutions developed by Ansu Mathai Samuel work. Ultimately design systems to amplify and complement human strengths rather than replace them says Ansu Mathai Samuel who outlines one of the fundamental principles of design for humans. That is why software engineers also have to take into account information regarding human-computer interaction creating interfaces offering support to humans to make right decisions with low cognitive load. In the chapter that he authored for the book concerning smart cyber-physical systems Ansu Mathai Samuel mentions principal principles of a right design strategy: an architecture for AI-based human-machine interaction that enables humans to interact with digital systems more effectively and more naturally with a variety of input modalities. In practice such a strategy can be realized both in industry and healthcare sectors as part of smart cities. An adjustable interface according to Ansu Mathai Samuel has been proven to raise decision-making accuracy by 20% including challenging scenarios concerning production. Development design methodology enunciated and implemented by Ansu Mathai Samuel is something Indian businesses would do well to learn from for deriving benefit from recent breakthroughs in AI. Additionally AI with a focus on humans alleviates local-specific issues: varying languages varying digital literacy levels and diverse industry-specific regulatory requirements. As infrastructure is being created and funding ambitious projects in AI is being taken up by the nation success will be amongst those who pair ambition with discipline as well as openness: prudent testing specific experiments proven data and deference to human instinct.
