Amruta Inc.

February 1, 2026. The article proposes a methodology for strategically embedding AI not just as a technological overlay, but as an operational asset. By building on foundational analytics, such as statistical models, machine learning, industrial engineering and operations research, and orchestrating them into governed AI agents and digital co-workers with intelligible explanations and narratives, health systems can move from underwhelming AI deployments to intelligent AI inf

January 14, 2026. Amruta Inc hosted a pre-summit event for India AI Impact Summit at Texas A&M University's Bush School of Government & Public Policy in Washington, D.C. We submitted a post-event report , an executive policy brief , and a detailed session summary to the Ministry of Electronics and Information Technology - Government of India and the Embassy of India - Washington, D.C.. To maintain thiemomentum, we have established several next steps: - India AI Impact S

December 10, 2025, Arlington VA. At the CIOs, AI and IT Modernization Outlook Conference held December 9–10, 2025, Dr. Beju Rao, Founder and President of Amruta, joined distinguished leaders from academia, government, and industry for the panel “AI and Workforce and Education – What Actually is the Outlook?” Dr. Rao highlighted Amruta’s enterprise‑grade, explainable AI training programs for students and professionals, emphasizing that AI creates more opportunities than job lo

December 10, 2025. Amruta Inc's Dr. Beju Rao, PhD and Novvum's Ravi Ravikoti presented on operationalizing explainable and governed AI. They emphasized the importance of explainability, governance, and semantic/knowledge maps/graphs in AI-based solutions. They also discussed strategies for governmental, non-profit, and corporate CIOs to deploy AI effectively in today's fast-paced environment. Government officials and CIOs from various countries and regions, including Thailand

October 28, 2025. AI is everywhere—yet its transformative promise remains constrained by opacity, fragmented architectures, and reactive risk management. This session introduces a new AI engineering framework designed to restore trust, accelerate adoption, and deliver measurable outcomes across industries including healthcare, logistics, finance, and government. Grounded in explainability, governance, and seamless integration, this framework enables practitioners to design AI

McLean, VA – June 23, 2025 – Amruta Inc announced that its Founder & CEO, Dr. Beju Rao, participated as a panelist at the Virginia Asian Advisory Board’s Business Subcommittee event focused on the future of workforce development in the age of artificial intelligence. Dr. Rao emphasized that AI is not simply about automation or job displacement, but about access to education, skills, and agency. Drawing on Amruta Academy’s work with both high school students and professionals,

March 1, 2025. Deploying artificial intelligence in healthcare involves navigating a complex web of U.S. laws and regulations. Many existing laws apply to health AI systems and their outcomes, and enforcement agencies can penalize hospitals when AI systems result in violations. Understanding and adhering to these regulations is crucial to avoid penalties and ensure successful AI implementation.

February 20, 2025. Amruta Inc's Dr. Beju Rao, DAMSR Inc's Deepak Rao, and Amruta Academy's students Dawson Lin (Brown University), Dhiya Balajee, Neev Aggarwal, and Ishaan Kommula presented to a packed room of engaged audience at the Healthcare Systems Process Improvement 2025 Conference in Atlanta GA, USA.

February 1, 2025. We are happy to share Dr. Rao's article, 'Trustworthy and Safe AI Innovation in Healthcare,' published in ISE Magazine, https://lnkd.in/g58yAypz As healthcare costs in the U.S. continue to escalate faster than any other category, AI offers a solution by enhancing operational efficiency and patient care. However, even with evidence-based improvements, adoption can be hindered if we cannot effectively explain AI outcomes to administrators and clinicians. The o

December 18, 2024. AI is ubiquitous, but its deployment is fraught with risk. The authors discussed tools to mitigate AI risks and reap innovation rewards, as well as how to separate AI's hype from its reality. Equipped with safe AI, the audience will achieve robust rewards. AI and ML are being applied across the operational, clinical, financial, and strategic aspects of healthcare systems. Early results showed significant improvements in care quality, safety, compliance, rep