Arun Krishnan

Background

About Arun Krishnan

I help brands and enterprises ask better questions — and build intelligent systems that can answer them. Over the past 12+ years, I’ve led cross-sector initiatives at the intersection of AI strategy, automation, and digital transformation, designing scalable architectures that deliver measurable business value. My work blends strategic planning, machine learning, and stakeholder storytelling — helping organizations turn data and algorithms into real-world growth. At Zyxware Technologies, I lead AI-driven business growth systems combining Generative AI, automation, and predictive analytics to help mid-market U.S. companies scale smarter. Our solutions integrate LLMs and marketing intelligence for faster decision-making and cost optimization. At SCMYUGA Technologies, I drive the go-to-market and AI roadmap for NAVRAAHI, a logistics execution platform that connects SAP systems, plant operations, and AI-powered visibility to reduce dwell times and improve operational efficiency. As a Consultant to the Kerala Development and Innovation Strategic Council (KDISC), I’ve led public-sector digital transformation initiatives in agriculture and workforce development, including the Kerala Food Platform — an ethical data ecosystem that improved farmer incomes by 30% through transparent traceability and Responsible AI-driven insights. Previously, as CEO of BRandanswers, I co-developed the UAE Food Platform (under the Dubai Chamber), creating a national digital infrastructure that supported the UAE’s $37B F&B ecosystem through data interoperability and policy alignment. My focus today: AI Strategy & Governance: Building Responsible AI frameworks that balance innovation, transparency, and trust. Generative AI Integration: Designing foundation model systems that turn data into intelligent business decisions. Scalable Digital Transformation: Aligning data, design, and leadership to drive sustainable growth. I believe the future belongs to organizations that are ready to get their hands dirty with iterative experiments with AI.