Ramanpreet Singh Arora

About Ramanpreet Singh Arora

Most AI initiatives don\'t fail in the demo. They fail in delivery — fragmented data, no clear ownership, guardrails bolted on after the fact, and no one left to run the system once the project closes.I work with senior leaders to close that gap: from AI strategy to production outcomes, built for trust, adoption, and measurable business impact.My background is operational before it is technical. IIM Mumbai, eleven years across P&L ownership, large-scale operations, and venture building. I\'ve run teams, managed margin, and built from zero — which means I\'m as comfortable in a boardroom trade-off conversation as I am in the detail of what actually makes a system work at scale.That shapes how I approach AI. I think about it as a complete system — data foundations, workflow integration, controls and governance, adoption. In that order. The organisations I work with are usually data-rich and decision-poor. Fixing that architecture is where most of the value lives, and where most programmes stall.Three builds that reflect how I think about this in practice:Designed a RAG-based health intelligence system on longitudinal physiology data — CGM, smart rings, lab biomarkers — converting noisy signals into explainable, usable guidance rather than dashboards nobody reads.Deployed Voice AI for candidate coordination at a US healthcare company, automating scheduling and follow-ups within existing workflows. The measure of success wasn\'t the technology — it was whether the team actually used it.Architected full-funnel B2B sales automation across email, WhatsApp, and webinars — treating go-to-market as an engineered system with feedback loops, not a manual process with a CRM bolted on.At StatusNeo, I lead AI solutions for enterprise clients — including engagements with leading global consultancies and Fortune 500 companies through their Global Capability Centers in India. What we build, we call Authentic AI: production-first, governed, and designed to earn trust inside the enterprise — not just attention in a boardroom.If any of this resonates, my inbox is open.

Experience

1. Sr Director Ai Solutions Leader

   StatusNeo

   Jan 2026 — Present · Gurugram, IN

   I lead solution development and client engagement for enterprise accounts across the US and India — working with Fortune 500 companies, Global Capability Centers, and leading global consultancies on AI transformation that moves from strategy to delivery.My work spans the full arc: identifying the right use cases, defining success metrics that CFOs and COOs actually care about, designing the operating model, and driving productionisation with cloud-native foundations and the right controls in place — security, governance, reliability.Across engagements, the recurring pattern is the same: organisations with strong data assets but broken architecture between data and decisions. Fixing that — in retail, banking, and health — is where the work lives.Capabilities I bring to clients- AI strategy and use-case portfolio design- Data and AI platform architecture — DataOps, MLOps, Agentic Automation- Cloud-native engineering — AWS, Azure, GCP- DevSecOps and AIOps for production-grade reliability- AI Maturity Assessment and roadmap development.

Education

• Heritage Institute of Technology

  Bachelor's Degree, Electronics and Instrumentation Engineering

• Indian Institute of Management Mumbai

  Master of Business Administration (M.B.A.), Supply Chain & Operations Management

• St. Thomas Church School

  High School, Science, Mathematics and Computer Science

Skills

• Leadership
• Management
• Microsoft Word
• Team Leadership
• Supply Chain Optimization
• Teamwork
• Team Management
• Product Marketing
• Marketing Strategy
• Entrepreneurship
• Supply Chain Management
• Project Management
• Event Planning
• Business Strategy
• Matlab
• Microsoft Excel
• Robotics
• Powerpoint
• Event Management
• Supply Chain Consulting
• Sales Management
• Operations Management
• Process Optimization